Published Paper Details:

India is land of farmers. A major role in India's economy is played by farming. As much as 60% of the land is used for farming in India. This feeds a total of 1.2 billion in population. In general, agriculture is the backbone of India and conjointly plays a crucial role in the Indian economy by providing a definite share of domestic products to ensure food security. However, nowadays, food production and prediction are depleted because of unnatural climatic changes, which is able to adversely affect the economy of farmers by obtaining a poor yield and conjointly facilitate the farmers to stay less acquainted in prognostication in the long run. Using appropriate parameters like rain patterns, temperature patterns, soil structures, and other factors such as crop diseases makes it possible to yield accurate crop prediction results. We make use of Random Forest and other machine learning/artificial intelligence algorithms to generate an accurate model. With the help of our system, we will be able to recommend the best possible crop for the given conditions. This system would also help reduce the financial loss incurred by farmers caused by planting the incorrect crop.