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AI in Environment Technology
AI in Environment Technology

July 8, 2021

AI

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AI in Environment Technology

 

Introduction

Artificial Intelligence (AI) refers to the ability of any machine to mimic the human capabilities like learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, and solving problems. The traditional methods which were used by the farmers, are not sufficient enough to fulfil these requirements. Thus, new automated methods are being introduced. By combining or with the help of the abilities a machine can perform complex functions that any ordinary human can't perform, which helps humans by making certain work less tiring or solving certain problems. In recent years, with the introduction of AI in different applications, Artificial Intelligence has gained massive popularity like, asking Alexa to set up our calendar or Siri to call someone from the contact list.

 

Work of AI in Environmental challenges

AI has the potential to accelerate global efforts to protect the environment and conserve resources by detecting energy emission reductions, CO2 removal, helping develop greener transportation networks, monitoring deforestation, and predicting extreme weather conditions. Here are some of the ways by which AI can tackle the certain environmental challenges;

#Climate change- AI can use machine learning to optimize energy generation and demand in real-time, better grid systems with increased predictability and increased efficiency, and use of renewable energy. Smart sensors and meters can be deployed within buildings to collect data and monitoring, analyzing, and optimizing energy usage in buildings. 

#Conservation of biodiversity- The use of AI for biodiversity conservation can help prevent the extinction of plants and animals and thus maintain a stable ecosystem. AI combined with satellite imagery can detect changes in land use, vegetation, forest cover, and the fallout of natural disasters. AI can monitor invasive species, identify and track their presence and eliminate them, which will keep the ecosystem stable. AI can also be used to create predictive softwares to help anti-poaching units plan their patrol routes and keep a track of everything in their area of duty.

#Ocean health- Researchers are using AI to investigate and understand those areas of oceans that cannot be reached by us. AI can gather data from ocean locations that are hard or impossible to reach and thus, help protect species and habitats. Illegal fishing can also be tracked using AI. AI-powered robots can be used to monitor ocean conditions such as pollution levels, temperature and pH. 

#Water issues- AI can be used to reduce pollutants in the water which in turn decreases water contamination and scarcity of clean water. AI is widely used by water scientists to project water usage in a particular geographical area and make weather forecasts to make informed policy decisions. AI along with satellite data can help to forecast weather, soil and subsurface water conditions and predict droughts.

#Clean Air- Artificial intelligence has the capability of improving collection and qualitative measurement data. Air purifiers with AI can record air quality and environmental data in real-time and adapt the filtration efficiency. AI-powered simulations can send warnings to people living in urban areas about the pollution levels of their areas. There are tools that can detect the pollution sources quickly and accurately. Using data from vehicles, radar sensors and cameras AI can help improve air pollution.

#Weather forecast and disaster resiliency- The use of AI can be very useful in weather forcasting purposes and prevention of disasters. AI-powered predictive analytics along with drones, advanced sensor platforms and similar tools can monitor tremors, floods, windstorms, sea-level changes, and other possible natural hazards. This technology can help government and concerned agencies to take timely actions and the availability of such information in real-time with automated triggers can enable early evacuations when needed. Various meteorological companies, tech companies like IBM, Palantir, and insurance companies are combining AI with traditional physics-based modelling methods to model the impact of extreme weather events on infrastructure and on their other systems to advise the disaster risk management strategies.

 

Conclusion

In the current scenario, the world faces a lot of problems and challenges in the fields of environmental technology. But with the use of AI, humans can simplify the work which is complex for humans to carry out, like reaching depths of oceans which is impossible for humans to access themselves. As a result, the implementation of AI or automation in the field of environmental technology is the need of the hour. 

 

 

 

 

 

 

 

 


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