Upcoming "crop" uses artificial intelligence to predict the future of agricultural crops

Cropin Technology Solutions, the onset of the artificial intelligence of food and agriculture, revealed a new model of immediate information that expects future finishes of thirteen important crops, as artificial intelligence helps to overcome crises in the agricultural sector. The company, based in Banglor, unveiled the “saga”, which works in the “Gimenai” model of artificial intelligence developed by the “Google” business, which is attached to “Alphabet”. Softly converts agricultural data to a special network card worldwide and then offers accurate expectations based on historical data. Decision makers can ask questions about the model about the performance of the crop and its life cycle in their mother tongue, and get information on productivity, climate, agriculture and soil procedures, relating to 13 crops, which accounts for 80% of total global food demand. Krishna Konar, founder and CEO of Krobin, said: “Expecting the future of a specific crop is a great progress, while, for example, we see the exposure of the entire sectors to disturbances due to lack of cocoa or orange crops,” Krishna Konar, the founder and CEO of Krobin. Artificial intelligence helps to achieve food security in light of the great increase in the world population, and to increase the concerns about food security, the artificial intelligence of obstetricity and major language models can turn the characteristics of modern agriculture into a world affected by climate change. This can help a large group of customers, ranging from bottled consumer goods, seed producers to financial institutions and governments, in planning crop production and deliberate decisions on agriculture. The field of agricultural land around the world is approximately 11.9 billion hectares (4.8 billion hectares), according to “Cournine”. The technology used by the company combines obstetrician artificial intelligence with data on climate, soil and cognitive plans for four decades, to analyze each crop on the country’s base and expect a specific crop behavior this season, next year or the next five years. “We have the technology that enables us to predict that any of the potatoes will achieve the largest possible crop in specific areas in Idahu or in Kenya, for example. What a prominent customer of the Potato Chips Production Company will help plan the offer range,” Kumar said during a video call.