Search for any green Service

Find green products from around the world in one place

AstraZeneca’s first AI-monitored tree-planting programme

AstraZeneca’s first AI-monitored tree-planting programme

The Republic of Kenya is focused on regenerative action as it builds towards a more sustainable future through tree-planting—rebuilding ecosystems to sequester carbon dioxide from the atmosphere. We saw this in November 2023 where authorities granted a national holiday for the purpose of planting 100 million trees across the country, which will play a major role in regenerating its land, but also encouraging its people to take ownership of climate change.

In fact, tree planting is perhaps one of the most selfless ways to reduce climate change, by taking accountability as a nation rather than pinpointing global warming on a specific group. Implementing ways in which the population can contribute is one of the most impactful steps that gets everyone moving.

The role of AI in regenerative projects

AstraZeneca, the pharmaceutical research company, is also taking on such a challenge, only technology will be instrumental in its results. At this year’s COP28 in Dubai, the organisation uncovered its latest strategy for global impact—a tree planting project that will be monitored by artificial intelligence (AI).

It’s called the AZ Forest programme andis a project in collaboration with experts at Earthbanc and the Green Planet Initiative 2050 Foundation, to cover 3,500 hectares of land across six counties of Kenya adjacent to the Rift Valley.

“The link between planetary and human health is clear. Investing in our natural world through tree planting and conservation, and limiting deforestation, are some of the most effective preventative health steps we can take,” says Juliette White, Vice President Global Sustainability, AstraZeneca. “By expanding AZ Forest to Kenya, we are progressing our commitment to deliver reforestation at scale, with a science-led approach that benefits both the environment and local communities.”

AI will play a major role in assessing the health of the plants as they establish themselves as major, carbon-sequestering organisms, which will increase biodiversity across the country. This requires a feed of data in the form of drone footage and satellite imagery to paint a full picture of the plants’ life cycle.

Also showing appreciation for the efforts of the three organisations, Her Excellency Rachel Ruto First Lady of the Republic of Kenya says: “Climate change affects us all and tackling it requires concerted action from governments, individuals, and business.

“We welcome AstraZeneca’s approach to reforestation: working with local communities to ensure economic benefits for people that match the positive impact on the planet. This initiative will contribute towards Kenya’s goal to plant 15 billion trees over the next decade.”

Particularly in tree-planting, AI can play a major role in analysis and monitoring data as they grow. So, why is it important to monitor a natural process? Firstly, we imagine this is to encourage a successful growing period for the trees—reporting the success of AstraZeneca’s overall commitment to planting 200 million trees across six continents by 2030.

“This land regeneration project in Kenya is a very exciting opportunity that we are pleased to support in collaboration with our partners,” says Tom Duncan, CEO, Earthbanc.

“Earthbanc is committed to bringing private sector climate finance to accelerate and scale reforestation to meet the challenge of climate change. The AZ Forest initiative brings significant co-benefits with its focus on circular bioeconomy, sustainable communities, ecosystem health and sustainable markets. We are looking forward to this project launch and demonstrating that we can all play a part in the global effort towards planetary regeneration.”

AstraZeneca’s global portfolio of regenerative projects

This project builds upon AstraZeneca’s efforts in Ghana and Rwanda—to name its African projects—as well as Australia, Indonesia, France, the UK, and the US.

Australia: A collaboration with Greening Australia and One Tree Planted has resulted in over four million trees being planted, aiming for a total of 25 million. This includes 260 types of native trees, aiding in the protection of vulnerable and endangered wildlife.

Indonesia: Working with One Tree Planted and Trees4Trees, the initiative has led to the planting of over three million trees. Additionally, in 2022, over 13,000 farmers participated in agroforestry activities.

Ghana: Through the “Living Lab” project, in collaboration with CBA, over three million trees have been planted to enhance ecological and community resilience.

France: At the Palace of Versailles, 450 rare oak trees, lost in the storms of 1990 and 1999, have been replanted. These oaks create habitats for various wildlife like butterflies, birds, and mammals, increasing biodiversity and rejuvenating the famous Versailles gardens.

UK: In partnership with Forestry England and Borders Forest Trust Scotland, over 470,000 trees have been planted in Scotland and England. These efforts are focused on developing high-quality woodlands, contributing to physical and mental health through additional green spaces.

US: In a joint effort with the National Fish and Wildlife Foundation, over 100,000 trees have been planted, restoring more than 100 km of riverside woodland areas.

 

 


 

 

Source   Sustainability

Can AI Recycling Robots Solve the Waste Crisis?

Can AI Recycling Robots Solve the Waste Crisis?

Our global waste crisis is enormous, with billions of tons of trash generated each year, and much of it ending up in landfills instead of being recycled. A major reason recycling rates remain low is actually the extreme difficulty of efficiently sorting and separating the complex jumble of materials in our waste streams. But what if AI recycling robots could take over this dull, dirty, and dangerous work from human sorters? That’s the ambitious vision of EverestLabs, a startup aiming to totally transform recycling as we know it.

 

AI Recycling Robots Faster, Smarter

EverestLabs was founded in 2020 by a team of engineers and technologists from Apple, Google, NVIDIA, and other leading tech companies. They’re on a mission to bring the power of artificial intelligence, computer vision, and advanced robotics to tackle the massive challenges facing global recycling efforts. Imagine conveyor belts loaded with trash of all types, with sophisticated robotic arms directed by AI rapidly grabbing items and precisely sorting them into different bins for recycling.

RecycleOS is an AI recycling robot operating system for recycling plants that uses vision technology, robotics, and data analytics to improve the efficiency and accuracy of recycling. It uses 3D depth-sensing cameras to identify recyclable materials like plastics, metals, and paper. The system then uses robotic arms to sort the materials into different bins. RecycleOS also uses data analytics to track the system’s performance and identify improvement areas.

RecycleOS is designed to be more efficient and accurate than traditional manual sorting methods. It is being used in a variety of places, including recycling centers, manufacturing plants, and retail stores. The company has also partnered with a number of major companies, such as Coca-Cola and Procter & Gamble, to deploy AI recycling robots.

  • Coca-Cola: EverestLabs and Coca-Cola have partnered to deploy RecycleOS at a number of Coca-Cola bottling plants in the United States. The goal of the partnership is to improve the efficiency and accuracy of recycling at Coca-Cola’s plants.
  • Procter & Gamble: EverestLabs and Procter & Gamble have partnered to deploy RecycleOS at a number of Procter & Gamble manufacturing plants in the United States. The partnership aims to improve the efficiency and accuracy of recycling at Procter & Gamble’s plants.

In addition to Coca-Cola and Procter & Gamble, EverestLabs has also partnered with a number of other major companies, including:

  • PepsiCo
  • Kraft Heinz
  • Walmart
  • Target
  • Unilever

It may sound futuristic, but EverestLabs AI recycling robots are already built and working. As prototypes, they can sort the waste at speeds no human worker could match. The AI recycling robot system can consistently achieve over 90% accuracy across dozens of material categories like plastics, paper, electronics, and metals. That leads to much purer recycled material streams that retain their value.

 

Potentially Huge Business Scale

EverestLabs is running pilot projects with major waste haulers and recyclers to prove the AI recycling robot solution. They’ve also raised $16 million in venture funding to hire engineers and scientists across AI, computer vision, and robotics disciplines to turn the technology into commercial-ready products. The founders envision their automated recycling concept eventually operating 24/7 at massive scales, processing waste volumes human sorters could never handle.

Adoption faces challenges, from high upfront costs to reluctance by old-school waste companies to change. But the sheer size of the opportunity makes EverestLabs hard to ignore. The environmental payoffs would be enormous if advanced intelligent automation could boost global recycling rates and economics. Untold millions of tons of usable materials could be recovered rather than dumped or incinerated.

As urbanization intensifies globally, solving the waste crisis is increasingly urgent. EverestLabs and other startups applying cutting-edge tech see huge potential for robots and AI algorithms to handle the waste sorting that humans simply cannot physically achieve. Autonomous recycling may even protect thousands of vulnerable workers from hazardous manual labor. The future remains uncertain, but companies like EverestLabs show how emerging technologies could positively disrupt even our most entrenched industrial systems.

 

 


 

 

Source   Happy Eco News

Can AI Ever Be Sustainable?

Can AI Ever Be Sustainable?

The AI genie is out of the bottle. There is no going back, but we can make it more sustainable. Here’s how.

AI is here, and it has a big footprint. As a recent article in the Guardian pointed out, AI is already a vast resource hog in its current form.

Like the intense energy consumption that the crypto mining industry experiences, the data centers that power the AI are already at par with and will soon exceed them; with AI, though,  the energy consumption problem is worse for a few important reasons. The computers that power crypto mining are a big part. Of course, they use a lot of energy; they are on the fringe of legality and social acceptance. Everyone knows it. Most of us have read about someone stealing power from the grid to power illicit mining rigs.

But not so with AI.

To most who use it, using an AI like Microsoft Bing or Google Bard feels like using a search engine. You type your search term or query, and a second later, you receive the reply. Repeat and refine as you go. It seems simple and harmless; after all, the companies that run these machines are some of the most trusted household names.

You don’t search for something; you Google it.

But behind the scenes are millions upon millions of connected computers housed in large data centers. Most are in faraway places with low taxes, cheap power, and lots of free water.

Water, because it’s not just about energy anymore either; it’s now also about water as a coolant. These machines generate immense amounts of heat as they process all the information required to create the silicon functional equivalent of thousands of artificial brains. Water cooling is the best way to get the heat out of the machines. The cheapest way to do that is to have a large constant supply of fresh water that can enter the system cool and exit the system hot – bringing with it the excess heat created in the machines.

There are other unaccounted costs as well. According to Uptime Institute’s Global Data Center Survey 2021, the global data center industry replaces an estimated 2.5 million servers annually. This number will grow to 3.2 million servers by 2025. Sure, some are recycled, but if the number is the same as general electronic waste, only 17.4% of servers are recycled, and the vast majority end up as e-waste.

Despite this bleak picture, I’m confident it will get sorted quickly. At a glance, the focused use of renewable energy generation for data centers is an evident and technologically-ready solution. Solar power installation is currently 90% cheaper than ten years ago and is still falling, even during this inflation period.

The cost of solar panels has fallen by about 80% in the past ten years. This is due to the increasing efficiency of solar cells and the economies of scale achieved in the solar manufacturing industry. The cost of other components, such as inverters and mounting systems, has also fallen in recent years. Governments in many countries have offered financial incentives to encourage the adoption of solar power. These incentives have helped to reduce the cost of solar power installation due to a surge in availability and local production of high-quality solar panels.

In the case of data centers, the energy required will come from renewables and will not have the same footprint as it did five or even ten years ago. In some cases, the energy consumed will have a net zero or possibly a negative carbon footprint.

Solution Water

Closed-circuit geothermal cooling systems are an evident and easy-to-implement solution for water consumption. Rather than using the cold water from a river or reservoir and risk heating and damaging natural river and lake systems, geothermal systems can create a contained and efficient cooling system.

For smaller systems, a ground-source heat pump would suffice. This type of system uses a series of pipes that are buried in the ground to extract or transfer heat. The pipes are filled with thermal conductive fluid that is cooled by the ground. The cooled fluid is then circulated through the data center and used to cool the servers inside.

For larger systems, a water-source heat pump would provide cooling. This type of system uses water pumped from a well into the data center to extract heat and cool the servers. The heated water is pumped back into the well to be cooled by the Earth, and the cycle begins again, with the only operational cost being the pumps that circulate the water.

Geothermal systems are very efficient at extracting or transferring heat. This can help to save energy and money on cooling costs. Geothermal systems can run on renewable energy, so do not produce any emissions and do not cause immediate damage to riparian areas, so they are considered environmentally friendly. Finally, geothermal systems are very reliable and can operate for many years without any problems and require little maintenance and can last for up to 50 years in ideal conditions.

Solution Hardware Churn

The automatic and mindless replacement of millions of servers worldwide seems flawed. Indeed, there are business critical machines that must be replaced to have 100% uptime, but applying that mentality to all servers is extreme and flawed. It results in unnecessary waste of machines that are still fit to function, until something fails.

The servers could be made to last longer. Currently, due to technology upgrades and other factors, the average lifespan of a server is only 3-5 years. The major hardware components of servers could easily be designed to last 20 or more years with only upgrades to specific components as technology increases. This would ensure they maintain valuable and relevant for the longest period of time and would save enormous amounts of valuable hardware resources from ending up in the waste pile.

The components and systems that must be replaced could be recycled more effectively, with much of the precious elements recaptured for reuse in new components. Similar to the recycling systems now being deployed by ROSI in France for solar panels, the same process could be applied to servers and their components. In the ROSI system, 99% of the elements in a solar panel can be recaptured. Severs have a variety of precious elements inside them; a high-efficiency recycling process would recapture gold, silver, platinum, copper, and palladium.

A Bigger (Flawed) Picture

The bigger problem is the fact that the current AI business model is flawed. Most AI programs are run as typical capitalist profit machines, only open to the public as toys and tools for writing or entertainment. The is a gold rush mentality right now where all the players are vying for position and the attention of investors.

To be successful, therefore, they need to exploit resources (energy, water, and hardware) as cheaply as possible to make the product that they sell for as high a price as possible. If the actual cost of the energy and water were factored in – cost to society and the planet – many of these so-called profit centers would disappear overnight.

It is hard to believe that some of the largest companies in the world, which, through the application of proprietary AI, are fundamentally changing the way humans live and work, are not paying their fair share of taxes. These companies are making billions of dollars in profits while striking deals with governments to avoid paying the true costs of running their businesses.

They set up in low or no-tax jurisdictions manipulating local governments who make concessions to normal business applications based on the promise of offshoots or trickle-down economic benefits, such as jobs and ancillary services. But if the situation becomes less than favorable, these mega companies leave town and move on to the next host like a parasite.

This is no different from many other subsidized, so-called capitalist businesses. Most of the fossil fuel industry, bottled water, junk food, wheat, soy, automotive, and many other industries would simply not have a business case if the actual cost of production was felt. If the real cost to operate an AI data center were factored in, fewer people would be using it. That could be a good thing.

Do we need to rely on AI more than we do already? Let’s be real; we were able to communicate, make recipes, plan our trips, and all the other things before AI; there is no reason we can’t do it now too.

The Solution

If there was a requirement for AI companies to manage their own environmental impact, for real, and if there were strict controls on the use of AI. It could begin to be used for a higher purpose. It would be used for things like reducing the effects of climate change, developing drought-resistant crops, fixing broken cities, improving the welfare of developing nations, or for medical advances like less invasive therapies, advanced antibiotics, and vaccines.

The best part is that all this is possible and happening now. Many governments are placing tighter restrictions on the use of AI, and others are forcing big corporate consumers to include a full accounting of all their combined footprints. These days, the responsible corporation includes details of all aspects of its footprint. AI is already being used for the benefit of society and the planet, we just need to find the right balance of use and benefit, and I believe we can; it’s just a matter of time.

Knowing that makes me very hopeful for the future and the use of AI.

 

 


 

 

Source  Happy Eco News

AI to Protect Sea Turtle Populations

AI to Protect Sea Turtle Populations

Harnessing the Power of AI to Protect Sea Turtle Populations

Scientists and conservationists using AI to protect sea turtle populations are providing innovative solutions to address the challenges faced by these remarkable creatures. From monitoring nests to tracking migration, identifying species, and developing conservation methods, AI technology offers unprecedented opportunities to protect and ensure the survival of sea turtle populations. This blog post explores how AI revolutionizes sea turtle conservation and highlights specific examples of its application in monitoring, tracking, and species identification.

 

AI to Protect Sea Turtle Nests

Sea turtle nests are vulnerable to a number of threats, including predators, disturbances, and natural disasters. Traditionally, monitoring sea turtle nests has been a labor-intensive and time-consuming process. Scientists would have to patrol beaches on foot, looking for nests. This process was often inefficient and unreliable.

Using AI to protect sea turtles has revolutionized the way sea turtle nests are monitored. AI algorithms can detect and track sea turtle nests through the analysis of satellite imagery. This is a much more efficient and effective way to monitor nests, as it allows conservationists to cover a wider area and monitor nests in real-time.

AI algorithms can also identify potential threats to sea turtle nests. For example, AI algorithms can identify areas where nests are at risk of being washed away by storms or where nests are disturbed by humans or animals. Conservationists can then use this information to take steps to protect the nests.

AI-powered tracking systems can revolutionize our understanding of sea turtle migration patterns. Traditionally, tracking sea turtles has been a laborious and time-consuming process. Scientists would have to attach tags to sea turtles and then wait for the tags to wash up on shore or be retrieved by fishermen. This process was often inefficient and unreliable.

AI-powered tracking systems have revolutionized our understanding of sea turtle migration patterns. These systems use satellite tags to track sea turtles migrating across the ocean. The tags collect data on the sea turtles’ movements, such as their speed, location, and depth. This data is then transmitted to satellites, which send it back to scientists.

AI tracking helps to identify crucial nesting and feeding grounds. The data collected by AI-powered tracking systems can be used to identify crucial nesting and feeding grounds for sea turtles. This information can then protect these areas from development or other threats. Scientists have used AI sea turtle tracking systems to identify important nesting grounds for loggerhead sea turtles in the Mediterranean Sea. This information has been used to designate these areas as marine protected areas, which helps to protect the turtles from predators and other threats.

AI-powered tracking systems help to mitigate threats such as entanglement in fishing nets. AI-powered tracking systems can also reduce threats such as entanglement in fishing nets. Scientists can use the data collected by these systems to identify areas where sea turtles are at risk of entanglement. This information can then be used to educate fishermen about the risks and develop new fishing methods to reduce the risk of entanglement. Scientists have used AI-powered tracking systems to identify areas in the Gulf of Mexico where sea turtles are at risk of entanglement in shrimp trawls. This information has been used to educate fishermen about the risks and to develop new fishing methods that reduce the risk of entanglement.

 

Identifying Sea Turtle Species

AI algorithms can accurately identify different sea turtle species based on unique facial features. Sea turtles have unique facial features that can be used to identify them. For example, loggerhead sea turtles have a distinctive “W”-shaped ridge on their carapace, while green sea turtles have a more rounded carapace.

One example of this is the facial recognition work being done by Google DeepMind. The organization has developed an AI algorithm that can identify sea turtle species with great accuracy. This algorithm is trained on a dataset of images of sea turtles, and it is able to learn the unique facial features of each species and of individual animals within a population. One of the greatest challenges of sea turtle conservation is identifying them; getting a turtle to be still long enough to read a tag generally means capturing the creature. Facial recognition AI to protect sea turtles saves them from traumatic capture and release events.

This breakthrough in AI to protect sea turtles aids researchers in tracking population numbers, assessing species at risk, and tailoring conservation efforts accordingly. The ability to accurately identify sea turtle species is essential for conservation efforts. By knowing which species are present in an area, researchers can track population numbers and assess which species are at risk. This information can then be used to tailor conservation efforts accordingly.

See also: World’s Smallest, Most Endangered Sea Turtles Hatch For 1st Time In 75 Years In Louisiana.

 

Developing Innovative Conservation Methods

Using AI to protect sea turtle populations requires immense processing power that was not available even ten years go. This advanced research facilitates the development of novel conservation methods tailored to protect sea turtles from various threats. By analyzing vast datasets, AI algorithms reveal patterns, predict environmental changes, and enable the creation of targeted conservation strategies. Leveraging AI to protect sea turtle populations, conservationists can devise comprehensive plans to address habitat loss, pollution, climate change, and other critical challenges faced by sea turtles. With AI to protect sea turtle populations, conservation efforts can achieve greater efficiency and effectiveness in safeguarding these magnificent creatures.

Artificial intelligence is revolutionizing sea turtle conservation, offering a range of transformative applications that aid in monitoring, tracking, species identification, and innovative conservation methods. The examples provided, such as the Sea Turtle Tracker app, the Sea Turtle Conservancy’s satellite-based tracking, and the University of Florida’s species identification algorithm, showcase the immense potential of AI in protecting sea turtle populations. As AI to protect sea turtle technology evolves, we anticipate even more groundbreaking applications that will enhance our understanding of sea turtles, support effective conservation strategies, and secure a brighter future for these incredible marine creatures.

 

 


 

 

Source   Happy Eco News

AI Tree Health Monitor Technology

AI Tree Health Monitor Technology

ePlant Tree Tag is an AI tree health monitor technology that monitors the health and productivity of trees. It is a small, lightweight device that is attached to the trunk of a tree.

The device collects data on a tree’s environmental conditions, such as temperature, humidity, and soil moisture. It also collects data on the tree’s health, such as its growth rate and leaf water potential.

It is a new application of AI to monitor and protect the health of our ever-diminishing wild places. In the case of forests, not only do they store huge amounts of carbon, but they also provide a habitat for a diverse range of plants and animals. They also regulate the temperature of the planet and change the soil structure below the canopy, increasing water availability.

Simple Technology, New Application

Beyond the commercialized product being sold by ePlant Tree Tag, other types of AI tree health monitors will soon be available. Using common technology that is already available, more advanced versions of AI tree health monitors are being developed. Some of the technologies that will be used are simple, and some more complex, but the key is to have them be durable and long-lasting to allow longevity in the field with little maintenance.

For example, temperature sensors will use a thermistor, a type of resistor that changes its resistance depending on its temperature. The thermistor is placed in the tree’s environment, and its resistance is measured. The resistance is then converted to a temperature reading.

The humidity sensor would be a capacitive sensor, which is a type of sensor that changes its capacitance depending on the humidity of its environment. The sensor is placed in the tree’s environment, and its capacitance is measured. The capacitance is then converted to a humidity reading.

The soil moisture sensor is also a capacitance sensor but is instead placed in the soil around the tree. The sensor’s capacitance changes depending on the moisture content of the soil. This change in capacitance is then converted to a soil moisture reading.

The leaf water potential sensor is a pressure sensor that is placed in the leaves of the tree. The sensor measures the pressure of the water inside the leaves. This pressure is then converted to a leaf water potential reading.

The growth sensor is a laser sensor that measures the distance between the sensor and the tree’s trunk. The sensor is placed on the tree’s trunk, and its distance from the trunk is measured over time. This change in distance is then converted to a growth rate reading.

The data collected by an AI tree health monitor is transmitted to the cloud, where it can be accessed by users such as scientists, foresters or other parties interested in the long-term health of the forest. They can use this data to track the health and productivity of the forest. They can also use the data to identify potential problems with their trees and to take corrective action.

When deployed on a large scale in forests that may be suffering from the effects of climate change, an AI tree health monitor system would be able to provide scientists with big data that could then be used in an ai model to help plan mitigation strategies to cope with drought, increased local temperatures or other conditions that may affect the health of the forest such as forest fires.

Fire Risk

An AI tree health monitor would detect changes in the environment that could indicate a fire risk. For example, the monitor can detect changes in temperature, humidity, and soil moisture. This information can be used to predict the likelihood of a fire and to take preventive measures.

Because the tag can detect changes in the temperature and humidity of the air around the tree, in case of a fire, the unit would show a sudden increase in local temperature and then cease to function, indicating the precise location of a fire and early detection. This information can be used to track the progress of the fire and to identify areas where it has spread, but most importantly, provide early detection of a fire allowing firefighters to move in and extinguish it before it grows.

It can be used to recommend fire suppression strategies because it can detect changes in the environment that could indicate the effectiveness of different fire suppression strategies. This information can be used to choose the most effective strategy for suppressing a fire in a specific location or weather conditions.

The ePlant Tree Tag could be used to reduce the risk of fire in the first place. In a forest with a history of wildfires, an AI tree health monitor could be used to monitor the health of trees in high-risk areas. If the tags detect changes in the tree’s environment that suggest that a fire is imminent, firefighters could be dispatched to the area to take preventive measures.

In a forest that is prone to lightning strikes, for example, AI tree health monitors could be used to monitor the weather in specific locations and to alert authorities if there is a risk of a lightning strike. This information could be used to evacuate people and clear the area of flammable materials.

In a forest located near a residential area, AI tree health monitors could be used to monitor the movement of people and vehicles. If the tags detect an increase in activity in a high-risk area, this could be a sign that a fire is starting. This information could alert authorities and evacuate people from the area.

The ePlant Tree Tag and other AI tree health monitors like it are valuable tools for scientists, arborists, farmers, and other individuals who are responsible for the care of trees. It can help them to ensure that their trees are healthy, productive and safe.

 

 


 

 

Source Happy Eco News

Plant-Based Casein for “Real” Vegan Cheese

Plant-Based Casein for “Real” Vegan Cheese

Climax Foods is a California, USA-based company founded in 2019 to create plant-based foods that are indistinguishable from their animal-based counterparts. The company uses artificial intelligence to identify and isolate plant-based proteins that can be used to make new vegan food products. Their first, a plant-based casein, is made from a proprietary blend of plant proteins that are fermented to create a product that has the same structure, function, and taste as dairy casein.

Casein accounts for roughly 80% of the protein in milk, cheese, and yogurt and is sold as a protein dietary supplement used by athletes to promote exercise recovery and increase strength. Casein is also commonly found in baby formulas.

Climax Foods’ plant-based casein is free of hormones, antibiotics, or top food allergens. Their process allows them to produce this protein sustainably, at scale and a similar price to dairy casein. With industrial animal agriculture contributing to global warming and depleting the Earth’s resources, this scientific breakthrough represents a significant win for the planet and a milestone for adoption of dairy alternatives.

“As foodies and scientists, we have a profound appreciation for the complex flavors and textures of dairy products, but also recognize their vast inefficiencies—such as requiring 700 gallons of water to make one pound of cheese,” Climax CEO and Founder Oliver Zahn said in a statement “Our production process uses 500 times less water at our current pilot scale.”

Food experts have praised the company’s plant-based casein; in 2022, the company’s plant-based casein was awarded the “Most Innovative Ingredient” award at the Food Expo West trade show. The company has also partnered with the French dairy giant Bel Group to develop vegan versions of some of its most popular cheeses, such as the Laughing Cow and Boursin. These are expected to reach the consumer market by the end of 2024.

 

 

A Big Market

The global vegan cheese market is expected to grow at a rate of 10.6% from 2021 to 2028. The growth of the vegan cheese market is being driven by a number of factors, including increasing awareness of the environmental impact of dairy production, growing health concerns about dairy products, and the increasing popularity of plant-based diets.

But Climax Foods is just one of a few companies in the vegan cheese game. New Culture is a San Francisco-based company that was founded in 2018 with the mission to create sustainable, animal-free dairy products using precision fermentation. Precision fermentation is a process that uses microbes to produce proteins and other substances. New Culture says that its plant-based casein is “identical” to dairy casein in terms of its structure, function, and taste.

But Climax Foods is just one of a few companies in the vegan cheese game. New Culture is a San Francisco-based company that was founded in 2018 with the mission to create sustainable, animal-free dairy products using precision fermentation. Precision fermentation is a process that uses microbes to produce proteins and other substances. New Culture says that its plant-based casein is “identical” to dairy casein in terms of its structure, function, and taste.

New Culture’s plant-based casein is made using a proprietary strain of yeast that has been genetically engineered to produce casein. The yeast is grown in a fermentation tank, and the casein is then extracted and purified. The company says that its plant-based casein is lactose-free, gluten-free, and vegan.

New Culture’s plant-based casein is still in the early stages of development, but the company has plans to launch its first products in 2023. New Culture is currently in the process of scaling up its production capacity. The company has also been working on developing new products that use its precision fermentation technology.

Once New Culture vegan cheese is available for purchase, it is likely to be available through a variety of channels, including online retailers and specialty food stores. The company has also said that it is in talks with some major food manufacturers about using its precision fermentation technology in their products.

Here are some of the benefits of using plant-based casein to make vegan cheese:

It is vegan and cruelty-free. Plant-based casein is made from plants, so it is vegan and cruelty-free. This makes it a good option for people who are looking for vegan alternatives to dairy cheese.
It has a similar texture and flavor to dairy cheese. Plant-based casein has a similar texture and flavor to dairy cheese. This means that vegan cheeses made with plant-based casein can be indistinguishable from dairy cheeses.
It is lactose-free and gluten-free. Plant-based casein is lactose-free and gluten-free. This makes it a good option for people who are lactose intolerant or have celiac disease.
The development of plant-based casein is a major breakthrough for the vegan food industry. It means that cheese makers can now create vegan cheeses that are indistinguishable from dairy cheeses. This will undoubtedly make vegan cheese more mainstream and appeal to a wider range of consumers.

 

 


 

 

Source   Happy Eco News

Unleashing the Power of AI to Protect Coral Reefs

Unleashing the Power of AI to Protect Coral Reefs

Unlocking the Secrets of the Underwater World: Mapping Coral Reefs with AI

Understanding coral reefs’ intricate structure and biodiversity is paramount to their conservation and restoration. Traditional methods of mapping coral reefs can be laborious and limited by the challenges of underwater habitats. Enter machine learning, the cutting-edge technology that can revolutionize coral reef mapping.

Machine learning algorithms can analyze vast amounts of data from diverse sources such as satellite imagery, underwater cameras, and environmental sensors to create high-resolution maps of coral reefs with unprecedented accuracy and detail. These maps provide valuable insights into coral reefs’ health, distribution, and vulnerability, empowering marine scientists, policymakers, and conservation organizations to make informed decisions and prioritize conservation efforts.

Using AI to Protect Coral Reefs: Early Detection and Rapid Response

AI can also play a pivotal role in early detection and rapid response to environmental threats faced by coral reefs. Climate change can cause coral bleaching, disease outbreaks, and species composition shifts; detecting these threats early and responding promptly is critical for effective management.

Real-time data analysis using machine learning algorithms can detect environmental changes that may indicate the onset of stress or bleaching events. For instance, machine learning models can analyze sea surface temperature data, water quality parameters, and other environmental variables to identify areas where corals are at high risk of bleaching. This early warning system enables scientists and managers to take timely action, such as implementing restoration measures, reducing local stressors, or implementing temporary fishing bans to safeguard vulnerable coral populations.

AI can also predict the spread and impact of coral diseases, which can spread rapidly and devastate entire coral reef ecosystems. By analyzing patterns in disease outbreaks, machine learning algorithms can identify potential disease vectors, environmental factors that may promote disease transmission, and the genetic makeup of coral populations that may affect their susceptibility to diseases. This information can aid in developing effective disease management strategies, preventing the further spread of diseases on coral reefs.

Using AI to Help Restore Coral Reefs

Restoring degraded coral reefs is complex and daunting, but machine learning offers innovative and efficient solutions for effective strategies.

One promising application of machine learning in coral reef restoration is the development of predictive models for coral survival and growth. These models can analyze a wide range of factors, such as the type of coral, water quality, temperature, light, and nutrient levels, to predict the optimal conditions for coral survival and growth. This knowledge can inform restoration efforts, such as selecting suitable sites for coral planting, optimizing coral nurseries, and implementing targeted interventions to maximize the success of restoration projects.

Machine learning can also aid in developing sustainable coral reef management strategies. By analyzing data on fishing practices, tourism activities, and other human impacts on coral reefs, it can provide valuable insights for policymakers and stakeholders to develop effective conservation and management plans that ensure the long-term health and resilience of coral reef ecosystems.

The potential of machine learning in enhancing coral reef protection and restoration efforts is immense. From mapping coral reefs with unprecedented accuracy to early detection and rapid response to environmental threats, and from predicting coral survival and growth to informing sustainable management strategies, machine learning is a game-changer in the field of coral reef conservation. As we continue to harness the power of AI and machine learning, we can strive toward a brighter future for these invaluable and highly biodiverse parts of our planet.

 

 


 

 

Source Happy Eco News

Self-healing concrete and plastic-eating insects: The best green innovations of February 2023

Self-healing concrete and plastic-eating insects: The best green innovations of February 2023

It’s nearly time for edie 23, edie’s biggest face-to-face event of the year. And during the event, which will take place on March 1-2, Springwise Chair, James Bidwell, will host a session with Google Head of Sustainability, Adam Elman on how artificial intelligence (AI) can accelerate corporate climate action.

Inspired by this, our first two innovations this month are leveraging AI to improve sustainability – in surprising ways. We’ve probably all heard about ChatGPT. But now, one startup is leveraging the technology that powers it to develop a text-based system for managing restaurant inventories – reducing food waste in the process. And AI is also being used to grow edible insects as an alternative to more environmentally damaging protein sources.

There has certainly been a buzz around insect-based technology this month, as creepy crawlies also feature in our third innovation – this time a plastic-eating variety of waxworm that can tackle plastic pollution while providing fishmeal for farmed salmon.

Elsewhere, we have spotted two kitchen-based devices that are helping people to deliver sustainability at home. The first lets users make their own climate-friendly plant milk in minutes at the touch of a button. The second, is a home bin that stops the nutrients found in food scraps from going to waste by converting discarded food into farm feed.

And finally, it has long been known that the Ancient Romans were exceptionally good at making long-lasting concrete. But their secrets have long been lost – until now. Today, a team of researchers is hoping to commercialize a Roman-inspired self-healing concrete mix.

 

AI-powered restaurant management

Poring over data at the end of a long working day is likely the last thing anybody in the restaurant industry is keen to do. But, with technology increasingly becoming integral to a successful business, this tedious work is essential. Making it easier is Pennsylvania-based ClearCOGS, which has partnered up with ChatGPT to create a system that allows restaurants to access insights about their inventory and operations quickly and easily.

ChatGPT has gained significant attention as a language-based AI because it can analyse data, provide insights, and make human-like recommendations in real-time. Pairing this new technology with ClearCOGS’ Predictive Forecasting System creates a place for restaurant operators to ask questions 24 hours a day, seven days a week, and receive data-driven answers.

Using a simple text-based query, restaurant operators can get fast answers to questions like, “what are my top selling items this week?” or “I have five kilogrammes of beef in inventory; how likely is it that I’m going to run out today?” With the power of GPT-3, the latest natural language processing technology, the AI system can also understand and respond to complex questions, allowing operators to make efficient and informed decisions about their inventory, while discovering ways to improve. This can help reduce waste.

 

Digital technologies to make insect farming more efficient

Experts are becoming increasingly concerned about how the world’s growing population will be fed in an equitable and sustainable way.

One solution is edible insects – both for human consumption and as animal feed. This, it is hoped, will help free up land and resources, as insects require far less space and fewer resources to farm than other protein sources such as beef or chicken. But producing them en masse has so far proved challenging. Tech company Entocycle is turning to AI to help.

The London-based startup uses smart technology to help insect farms work efficiently and sustainably (and manage billions of insects at any one time). Its technology helps farms improve accuracy and efficiency while reducing manual intervention. It does this by, for example, measuring populations in a farm to automate food requirements and controlling the temperature to optimise insect health.

The company focuses on black soldier fly farms, an insect that grows very rapidly and can survive on food waste. These insects are nutrient-rich, including more zinc and iron than lean meat, and more calcium than milk per gram.

 

Feeding fish with plastic-eating insects

Seafood is one of the most highly traded commodities in the global food system, and in 2018, for the first time in history, global farmed fish production surpassed that of beef production. And experts expect demand for aquatic foods to double by 2050. How to sustainably farm fish to meet such high levels of global demand is a pressing concern for the aquaculture industry.

Part of that concern lies in finding the best solution to the challenge of what to feed farmed fish. Many growers seek circular solutions that minimise waste at all stages of the production process, including Glasgow-based researchers who recently discovered a surprising option for fishmeal. The team found that waxworms fed on plastic appeared more digestible to salmon than those fed on a regular diet.

Set up by Dr. Martin Llewellyn at the University of Glasgow, SalmoSim is an in-vitro Atlantic Salmon gut simulator that helps those in the aquaculture industry test out new medicines or feedstock for farmed fish. The team provides tailored experiments that analyse the absorption of sugars, volatile fatty acids, amino acids, and more throughout a salmon’s digestive process. And it was in one of these experiments that plastic-fed waxworms were found to be a highly digestible feed.

By reducing demand for marine-grown fish meal, plastic-fed waxworms could provide a dual purpose – reducing plastic waste while feeding the high volumes of fish demanded by a growing global market. The research team’s next steps include assessing the healthfulness of the salmon fed on the waxworms for human consumption.

 

A countertop device for making plant-based milks at home

Non-dairy milks have a lower environmental impact than dairy equivalents and are fairly easy to make at home, requiring a nut or seed, water, and a blender. But despite this, many of us just don’t have the time, inclination, or ingredients to make plant-based milks by hand.

Step in GROW UP, a sleek, countertop brewer designed to produce fresh, non-dairy milk within minutes. Users choose from a range of up to 10 different ingredients, including nuts, oats, coconuts, and hemp seeds. All it takes to make a glass of fresh milk is one cup of the chosen ingredient, plus water, added to the top of the brewer. With the push of a button, the device then makes fresh plant-based milk in less than six minutes.

Parts of the machine are dishwasher safe. GROW UP also does not use single-use packaging, and the machine includes a self-cleaning function. The brewing device is currently available for pre-order with a $50 deposit. It is scheduled to be shipped in spring 2023.

 

A bin that turns your home’s food waste into animal feed

Food waste is a growing problem around the world. When we waste food, many nutrients and resources are wasted with it. Moreover, when food ends up rotting in landfill, methane is released, which further contributes to global warming. Now, Mill Industries Inc has created a bin that conserves the nutrients from food waste and sends them back to farms where they can feed chickens and help protect the planet.

Every ‘member’ who subscribes to the food waste system receives a Mill kitchen bin that dries, shrinks, and de-stinks your kitchen waste overnight, turning it into nutrient-rich Food Grounds. Once the bin is full, members can schedule a pickup for the food grounds using the Mill app. The company turns the food grounds into a chicken feed ingredient.

Mill’s founder and chief executive Matt Rogers says the system “makes it easy to do the right thing”. He explains: “Food isn’t trash. But until today, it was hard to do anything except throw uneaten food in the garbage. The Mill Membership is a simple way to keep food out of landfills, send it back to farms, and make your kitchen smell awesome. Resources are increasingly scarce – wasting food at home is a solvable problem that we can tackle together.”

Mill is currently working through the necessary scientific and regulatory processes to turn the food grounds into a safe and nutritious chicken feed ingredient.

 

Longer-lasting, self-healing concrete

The ancient Romans were master builders. While many modern concrete structures have crumbled in just a few decades, many Roman structures are still standing, including the Pantheon, which has the world’s largest unreinforced concrete dome and was completed in 128 CE. Roman concrete has been known to withstand earthquakes and harsh weather, and certain variations could even set underwater. Until now, exactly what made Roman concrete so durable has remained something of a mystery.

But now, a team of researchers from MIT, Harvard University, and laboratories in Italy and Switzerland, has discovered some of the ancient concrete-manufacturing strategies used by the Romans. They found that Roman concrete contains ‘lime clasts’ – tiny minerals originating from lime that give the concrete the ability to self-heal. Spectroscopic examination also suggested that the Romans used lime in its more reactive form – quicklime.

The researchers concluded that the process of incorporating quicklime, known as hot mixing, was key to the concrete’s durability. During hot mixing, the lime clasts develop a ‘nanoparticle architecture’. When cracked, this reacts with water to create a calcium-saturated solution, which then recrystallises as calcium carbonate and quickly fills the crack.

The team is now working to commercialize this formula. If successful, the more durable concrete could reduce the environmental impact of cement production, as concrete structures will not need to be replaced so quickly.

 

 


 

 

Source edie

 

How AI could help bring a sustainable reckoning to hydropower

How AI could help bring a sustainable reckoning to hydropower

Hydropower has been stirring up controversies since the early 2000s. Despite being promoted as a solution to mitigate climate change, the hydropower bubble burst when researchers discovered in 2005 that hydropower dams are responsible for huge amounts of greenhouse gas emissions.

Hydropower dams’ walls restrict the flow of rivers and turn them into pools of stagnant water. As these reservoirs age, organic matter like algal biomass and aquatic plants accumulates and eventually decomposes and sinks. That oxygen-poor environment stimulates methane production.

Reservoir surfaces and turbines then release methane into the atmosphere. Methane makes up approximately 80 percent of the greenhouse gases emitted from hydropower dams, peaking in the first decade of the dams lifecycle.

Methane is infamous for lingering around in the atmosphere for 12 years and is at least 25 times more potent than carbon dioxide. Researchers estimate that at least 10 percent of the world’s hydropower dams emit as much greenhouse gases per unit of energy as coal-fired power plants. In the Amazon basin, several existing dams are up to ten times more carbon-intensive than coal power plants.

Despite this, there is still an aggressive push for constructing new hydropower dams in the Brazilian Amazon and the Himalayas. “​​In light of this expected boom in construction of new hydropower dams, it is critical to identify whether future dams will produce low-carbon energy,” an international team of researchers wrote in a 2019 Nature Communications study.

 

Using AI to plan a more sustainable dam

To identify environmentally-friendly sites for new hydropower dams, the 2019 team harnessed data from a sophisticated computational model that uses artificial intelligence (AI). They observed that lowland dams in Brazil (a predominantly lowland country) tend to have large reservoir areas which yield significantly higher carbon intensities. The Brazilian Amazon has the highest number of carbon-intensive dams as compared to the mountainous parts of Bolivia, Ecuador, and Peru. Higher elevation and steep topography, they found, make for less carbon-intensive hydropower.

New projects have been proposed at least 351 sites spread across the Amazon, which already is home to 158 hydropower dams. To find solutions for minimizing the environmental consequences of these projects, researchers are continuing to harness data with AI.

In a recent study published in the journal Science last week, a team of researchers utilized AI to scale the Amazon basin. They found that uncoordinated hydropower expansion resulted in forgone ecosystem benefits. Additionally, effective dam arrangements in other locations could generate four times more power.

“AI is being used by Wall Street, by social media, for all kinds of purposes – why not use AI to tackle serious problems like sustainability?” study author Carla Gomes, a computer scientist at Cornell University, said in a press release.

Various environmental criteria, like river flow and connectivity, greenhouse gas emissions, fish diversity, and sediment transport, of the entire Amazon basin, must be considered while selecting sites for new projects, the researchers argue.

While implementing policies based on such scientific evidence is vital for building sustainable hydropower dams, researchers are also looking for ways to reduce greenhouse gas emissions from existing projects via methane extraction.

 

Extracting—and using—reservoir methane

The idea to extract the methane accumulating in lakes and dam reservoirs for energy production is not new. In East Africa, saltwater-filled Lake Kivu holds 60 cubic kilometers of methane and another 300 cubic kilometers of dissolved carbon dioxide. The methane is extracted from the lake’s deep waters with a gas separator for producing electricity at the KivuWatt power plant in Rwanda.

Inspired by this possibility, Maciej Bartosiewicz, a geophysicist from the Polish Academy of Sciences, and his colleagues propose using solid mineral absorbents called zeolites for separating methane from reservoir sediments. In a study published in the journal Environmental Science and Technologythey designed a model mechanism to deploy zeolites coupled with activated carbon that could be placed at the bottom of reservoirs.

So far, scientists have been unable to extract methane from freshwater bodies such as lakes and reservoirs because the gas is available at far lower concentrations. This has previously made methane extraction in smaller quantities far too expensive. But Bartosiewicz says zeolites are cheap and widely available, which could offer a viable solution.

“The system contains a gasification component that is a membrane in a box. Then zeolites could capture methane after removing carbon dioxide,” says Bartosiewicz. Installing a pumping system could further boost extraction.

Still, methane extraction from reservoirs’ sediments is not devoid of ecological consequences. The process could result in a significant disruption in the ecosystem’s biological composition by affecting the growth of bacteria that process methane in sediments—eventually impacting the food web productivity. In reservoirs and lakes where bottom methane levels are high, these bacteria are a vital source of food and energy for microscopic marine animals. Still, water bodies have the remarkable ability to self-regulate, argues Bartosiewicz.

“We still need to develop the next generation of solutions for renewable energy production. This could be a possibility,” he says. “Methane extraction will not be possible in all hydropower reservoirs. But if we can produce even five percent of energy from this methane, it will add to the quota of renewable energy.”

 


 

Source Popsci