Using machine learning, robots do soil analysis to monitor mineral content and soil fertility to avoid overexploitation that can lead to underproduction over time therefore protect soil microorganisms

Use machine learning in the field of agriculture may reduce physical effort of farmer, prevent somes issues that may appear and can also boost the productivity of the cultur.

Dr Tiburce sewanou Ketounou thank you for your contribution to the discussion

You were welcome

I‘m a Msc

Thanks

Application of AI in agriculture provides farmers with real-time crop insights, helping them to identify which areas need irrigation, fertilization, or pesticide treatment. Innovative farming practices such as vertical agriculture can also increase food production while minimizing resource usage.AI helps farmers by suggesting the nutrients they should apply to increase the quality of the soil. AI can help farmers choose the optimal time to plant their seeds. Intelligent equipment can calculate the spacing between seeds and the maximum planting depth. Today, the amount of data that is generated, by both humans and machines, far outpaces humans' ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. Artificial Intelligence will drive digital transformation across sectors and have a vast and lasting impact on the society and economy of India. AI has the potential to significantly transform industries like healthcare, agriculture, education, etc. By automating routine tasks, analyzing data, and improving decision-making, AI can help increase productivity, reduce costs, and improve the quality of products and services. In healthcare, education, and other fields, AI can improve outcomes and accelerate progress. AI systems can track forests and changes in them over time by analyzing data from sensors, drones, and satellite imagery. ML systems can use historical data to identify potential future deforestation scenarios due to their predictive capabilities.Another application of AI to climate change is how satellites orbiting in space are used to make observations and assess changes to the Earth. Satellites can help monitor forest fires and determine potential sources of carbon dioxide that are found in the environment.