Artificial Intelligence

How Artificial Intelligence Can Contribute to the Survival of the Planet

Every day, Artificial intelligence (AI) opens up new worlds of opportunity. Artificial intelligence (AI) is now being used by organizations to improve decision-making, corporate processes, and the gathering of meaningful information.

Sustainable development goals are heavily influenced by technological advancements.

In the future, artificial intelligence might save our planet by finding and optimising energy emission reductions, monitoring deforestation, anticipating catastrophic weather occurrences, cleaning the oceans, and more.

The technologies that are saving the globe will be examined in further detail in this essay. AI companies that have successfully invested in AI technology in order to preserve the planet may also be found.

Technologies based on artificial intelligence have the potential to save the world.

Keeping the oceans clean and safe

71% of our planet’s surface is covered by water. Plastic garbage, on the other hand, is suffocating the planet. The UN Environment Programme (UNEP) estimates that 300 million tonnes of plastic are produced each year, but that only a small percentage of that plastic is recycled. [1]

A study conducted by the Ellen MacArthur Foundation and the World Economic Forum estimates that by 2050, the oceans will contain 937 million tonnes of plastic but only 895 million tonnes of fish. [2]

Moreover, there are several other equally astonishing realities.

As a result, the first use of AI technology is to rid the oceans of plastic trash and keep them clean. Artificial intelligence might be used to help clean the oceans.

A sorting robot for plastic

Scientists at the University of Buffalo have developed a robotic system based on machine learning that will sort plastics and uncover new environmentally friendly solvents and chemicals that can decompose plastics into reusable components by the year 2020.

The robotic system includes sensors and a machine learning algorithm. Each piece of plastic has a unique molecular fingerprint, which is captured by sensors and used by machine learning to identify a specific piece of plastic.

A system for detecting plastic in turbulent waters by a robot

An autonomous robot equipped with artificial intelligence and machine learning technologies has been developed by Razer and CleanBot that can identify marine plastic within two metres in tough weather conditions. The solar-powered robot can collect up to 250 kg of plastic in a single run.

As a result of ClearBot’s patented artificial intelligence and superior machine learning technology, governments and organisations worldwide will be able to grow their sustainability programmes. ” Patricia Liu, Razer’s chief of staff

The use of robots powered by artificial intelligence in the recycling process is beneficial.

The recycling industry is worth $200 billion, according to the Bureau of International Recycling. In most countries, recycling is seen as a public benefit rather than a personal responsibility. Did you know that just 9% of all plastic garbage gets recycled in the United States? Eventually, the rest will find their way into the ocean. Take a closer look at some of these numbers. [3]

  • On November 17th, 2020, at the America Recycles Summit, EPA Director Scott Pruitt announced a goal of 50% national recycling by 2030.
  • Almost 94% of Americans are in favour of recycling.
  • Germany is the world’s leading recycler of municipal solid waste (MSW).
Automated manufacturing platform (AMP).

Artificial intelligence robots developed by this company collect and process recyclable materials at twice the speed and with 99 percent accuracy.

Integrating its technology into existing infrastructure allows AMP Robotics to operate throughout the United States, Canada, Japan, Europe, and Australia.


Waste is separated from primary materials by the ZenRobotics Recycler. Three-dimensional sensors, a camera with RGB lighting, and a garbage detector are all included in the system.

The recycling method allows valuable raw materials to be retrieved from the waste of construction projects. A worldwide network of 49 resellers distributes the artificial intelligence technology.

Automated food waste reduction via the application of artificial intelligence

Despite the fact that food waste occurs at every stage of the production and consumption process, consumers are responsible for the bulk of the waste at this time.

Over twelve million tonnes of food are thrown away in Germany every year. Each year, the United States produces around 40 million tonnes (or 80 billion pounds) of food. [4]

A major factor in tackling this global problem is the use of artificial intelligence (AI).

Using artificial intelligence to “design out” food waste might bring in $127 billion a year by 2030, according to a study by the Ellen MacArthur Foundation and Google. [5]

It is therefore possible to use artificial intelligence to decrease food waste at supermarkets.

An AI-powered bin in a commercial kitchen is equipped with Winnow Vision, which recognises and weighs food waste put in it. More than 80% of the time, our programme is able to identify unnecessary things.

As a result of a partnership with the Swedish furnishing manufacturer, Winnow Vision was also installed at all 23 IKEA stores in the United Kingdom and Ireland.

What follows?

According to PWC research, artificial intelligence for environmental applications could contribute $5.2 trillion to the global economy by 2030, representing a 4.4 percent increase over today’s level.[6]

Celine Herweijer, Global Innovation and Sustainability Leader, PwC UK, says that AI has the potential to improve future systems for both the economy and the environment.

By unlocking new sources, reducing transaction costs, and making it easier for consumers to select what they want to buy in the market, artificial intelligence has the potential to greatly enhance the efficiency of energy markets in the near future. It is expected that AI solutions such as:

  • The creation of intelligent, networked, and habitable AI cities.
  • Earth Reinforcement Learning is a transparent digital environment for Earth’s scientific breakthroughs and beyond.
  • The following are some of the most important things I’ve learned from this

In the future, artificial intelligence might save our planet by finding and optimising energy emission reductions, monitoring deforestation, anticipating catastrophic weather occurrences, cleaning the oceans, and more.

A robotic system for sorting plastic, AI-powered robots that improve the recycling process, and AI-powered bins that reduce retail food waste are all examples of AI-powered solutions.

To achieve environmental sustainability goals and all other sustainability goals, artificial intelligence is a necessity.

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