How AI Helps Agriculture in India Survive Critical Weather
During an unseasonal rain in April 2018, farmers in the districts of Punjab, Haryana, Rajasthan, and Uttar Pradesh lost a quarter of their crops on the eve of harvest, reports the Elets News Network. To make matters worse, the crops that survived the rainfall suffered from inferior grain quality. Similarly, farmers who cultivated wheat saw pre-monsoon changes seriously impact their produce. In the states of Jharkhand, Orissa and Chhattisgarh, the rice yield experienced several losses during drought months.
Agriculture and climate have depended on each other for ages. Any change in weather directly impacts farmers and crops across the country. To optimize yields, farmers must make pre-season and in-season decisions based on what type of weather they expect. But imagine a scenario in which weather insights derived from artificial intelligence (AI) were integrated into every farming decision.