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Artificial Intelligence Equipped Remote Sensing and GIS Techniques for Sustainable Agriculture

This article discusses the importance of sustainable agriculture and how artificial intelligence (AI)-equipped remote sensing and geographic information system (GIS) techniques can help achieve it. With the world population increasing and resources becoming insufficient to fulfil the demand-supply chain, traditional farming methods have become insufficient to serve the increasing demand. This has led to the use of harmful pesticides and hampering the soil. AI algorithms can process data collected by remote sensing devices to provide insights into the agricultural system, such as predicting crop yields and detecting changes in land use patterns. GIS techniques can help integrate data from different sources to provide a comprehensive understanding of the agricultural system. AI-equipped remote sensing and GIS techniques can pave the way for precision farming, precision irrigation, crop breeding, crop protection, and so on. Overall, the use of AI and GIS techniques in sustainable agriculture can help improve crop yields, reduce water usage, monitor soil health, control pests, and mitigate the impact of climate change.