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Use of AI for Climate Change Adaptation and Mitigation

With the advancement of technology, humans are looking into new solutions which can get more noticeable results to mitigate climate change. AI is such a miraculous tool today. Everyone has it crucial to know about how AI can work on such significant issues as climate change. We found that some AI solutions were more efficient and effective across various sectors, whether through mitigation, adaptation and resilience or by supporting the fundamentals of overall climate efforts. Let’s look into that.

Waste Management

Refibered Companies in North America well used AI to sort waste by material and colour; let’s look into the process. AI helps to automatically remove any buttons, zippers, or other contaminants in the recycling process based on the material and colour. Each sorted section of textile waste sends the processed junk to the recycler, which can preserve most of the material. From that, it saves energy and waste. Because textile waste, such as microplastics and metals, contributes to climate change. Then we looked into how AI can help optimise power.

Energy Conservation

AI can optimise energy consumption and reduce greenhouse gas emissions in various domains, such as buildings, transportation, and manufacturing. Machine learning algorithms can analyse vast data to identify patterns, optimise energy usage, and recommend efficiency improvements.

AI can facilitate the integration of renewable energy sources into power grids. It can forecast renewable energy generation based on weather patterns, demand, and other factors, enabling better management and distribution of energy resources.

AI algorithms can optimise the operation of smart grids, helping balance energy supply and demand in real time. By analysing consumption patterns, AI can identify opportunities for load shifting, demand response, and energy storage, leading to more efficient energy management.

Precision Agriculture

AI can assist in optimising agricultural practices to minimise resource consumption, such as water and fertilisers. Using sensors, drones, and AI-powered analytics, farmers can monitor crops, detect diseases, optimise irrigation, and apply inputs precisely, reducing waste and increasing yields. In Sri Lanka, we found some companies using AI on their plantations. AI Grow is a leading company which produces AI tools also.   They used intelligent sensors, fertigation, and water management systems for greenhouses and indoor and outdoor plantations. Let’s look into simple things to understand the concept better; with the help of AI can schedule timings for plants when they need water and fertilisers. It can differ in plant variety. For example, some plants need water only one time per day while some plants need two times. So we can use our smartphones and schedule timing appropriate to plants, and it automatically supplies water.  It is one example only, and there were various applications of AI in the agriculture sector.

Usage of AI in Researches  

 In many countries, Artificial Intelligence (AI) continues to play a crucial role in research, as it allows researchers to process large quantities of data and highlight and analyse the required information that was previously impossible.

Forest Monitoring and Conservation

 AI can aid in monitoring and protecting forests by analysing satellite imagery and other data sources. Machine learning algorithms can detect deforestation, illegal logging, and wildfires in real-time, enabling timely interventions and better conservation efforts.

AI can enhance climate modelling by analysing large datasets and improving the accuracy of climate predictions. This information can assist policymakers, researchers, and planners in understanding climate patterns, predicting extreme weather events, and developing strategies for adaptation and mitigation.

The facts we mentioned above are only a few ways of utilising AI for climate mitigation and adaptation efforts. In truly speaking, AI is widely used in the battle against climate change.

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Silila Sandawala
Silila Sandawala
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