Application of Artificial Intelligence in Environmental Science
With the help of Artificial intelligence Services, IBM is testing a new way to reduce Beijing’s stagnant air pollution. China’s capital, like many other cities in the country, is surrounded by factories, fueled by much coal, which releases harmful particles. Pollution levels may vary depending on industrial activity, traffic congestion and weather conditions.
IBM researchers are testing a computer system that can learn to predict the severity of air pollution in different parts of the city in a very short time, combining large volumes of data from various models.
The system could eventually provide specific recommendations on how to reduce pollution to an acceptable level — for example, by shutting down some factories or temporarily limiting the number of drivers on the road. A comparable system is being developed for a city in Hebei Province, a region heavily affected in the north of the country.
As the field of AI continues to evolve, so does the ability to protect the environment. From land and air to drinking and seawater, AI is creating a key that governments, organizations, and individuals can tap into working toward a cleaner planet.
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The land is under pressure from soil pollution, population growth, intensive agriculture, and other land use. According to the United Nations, its structure is not compromised (about one-third of the earth is already depleted) but is most dangerously contaminated (three million hospitals and 250,000 deaths worldwide due to pesticide poisoning).
AI has the power to make agricultural practices safer for the land and the health of the public. Machine learning combined with robotics provides automated data collection and decision-making to optimize farming processes. These systems interact directly with crops, identify and operate the best times to plant, spray, and harvest plants, fertilizers, and pesticides contaminate the soil.
This will not only make agriculture more efficient, but it will also lead to organic, land-friendly crops. Similarly, AI monitoring helps communities protect larger territories than just farms; Ecosystems and habitats around the world will also benefit. AI solutions enabled drones, for example, to offer new opportunities to monitor and defend endangered areas.
According to a report by the World Economic Forum, more effective plant disease detection, poacher root prediction, erosion monitoring, species identification, and animal migration tracking are all reality with AI.
AI also provides tools to better monitor pollution and identify sources of air quality issues faster and more accurately. In the case of a gas leak, for example, smart sensors with machine learning and self-organizing mesh network technology allow for more objective prevention.
Governments, organizations, and homeowners not only address air pollution problems more quickly and more efficiently, but also gain greater insight into the implementation of more effective remedial measures.
In addition to monitoring airborne problems, AI can also reduce the harmful emissions it pumps into the first place.
This is especially important because air pollution is already a dangerous global crisis — 91 percent of the world’s population lives in areas where the World Health Organization (WHO) has failed to comply with air quality guidelines. While it is easy to see the consequences of this as a distant problem, it already kills seven million people worldwide every year.
One place to start is with transportation. AI makes autonomous cars possible and helps them navigate and make them as efficient as possible. According to a report by the Intelligent Transportation Society of America, only autonomous vehicles can reduce oil consumption and associated greenhouse gas emissions by 2 to 4 percent.
Thanks to the autonomous ride shares and dynamic bus routing that exist in the future, there are usually fewer cars on the roads. AI-enabled traffic lights also play their part, adjusting traffic flow to reduce driving time
Healthy Oceans, Planet is that the theme of World Ocean Day 2016. Earth’s largest water resources unit very important and unit the foremost effective indicators of the health of the world. Supported their current circumstances, things are not prosperous.
These are the basic involves of environmental elements, To read More about ARTIFICIAL INTELLIGENCE BASED OCEANOGRAPHY
Humans have contaminated the oceans with offshore drilling, load transport, and trash a motor truck of plastic is dropped into the oceans every minute — eight million metric plenty of plastic p.a. AI is already coming to the rescue: the first plan to effectively build the nice Pacific Garbage Patch is essentially Associate in Nursing autonomous floating motor truck hopped-up by AI.
In different oceans, machine learning makes it potential to follow ocean litter in the amount of your time, sanctioning quicker, extra targeted and additional sensible responses. Observance and assessment technology of machine learning helps researchers understand human activities and later changing conditions that have a bearing on the oceans like coral bleaching, illegal fishing, wellness outbreaks, and industrial activity.
Cleaning and helpful potable are imperative. The world is running out of H2O and most of what is left is dangerously contaminated. Worldwide, the worldwide organization says one.8 billion people unit presently using a waste-water offer.
AI is shaping up to be one of society’s most helpful tools. With it, we can start making significant amends with our land, air, and water and clean it up for a healthier planet.