Abstract

As we all know, India is the world\'s second most populous country, and most of its\npeople rely on agriculture and work in agriculture. Agriculture is critical to the Indian\neconomic system; it employs more than half of the population. Food is perhaps the most\nimportant aspect of life; without it, humanity cannot survive. Our current agronomical tasks\ninclude ways to advance crop production, maintain appropriate agriculture parameters, and\nkeep appropriate chemical fertilizers on hand. Our main goal is to reduce the number of\nagriculturalist suicides, increase farmer profits, and so on. Machine learning applications are\nused in crop yield predictions and trying to improve crop yield prediction to overcome such a\nwide range of issues. This paper discusses how the system uses data gathered from agriculture\ndepartments. Our systems are powered by real-time data and farmer-friendly agricultural\nproduction software. Our project assists farmers in determining which crops to be grown to\nmaximize profits. In this paper, we attempt to forecast crop yields using data science\nalgorithms.