Key points are not available for this paper at this time.
Abstract: The Indian economy contributes to agriculture. Most farmers in India rely on their instincts when deciding to plant crops during the specific period of the year. They don’t know that crop yield is environmentally sensitive and depends on soil and weather. A farmer's ignorant decisions can have consequences for the health of the soil, as well as psychological and financial harm to the actual farmer. Using a machine learning model will be beneficial solve this problem. The data employed in the article was produced by combining records for fertilizer, climate and rainfall for India. Models for machine learning will be applied to the data to obtain the most accurate models that will recommend the right crops for the agricultural field. Indian farmers would be able to choose their crops with more knowledge thanks to these recommendations. Factors such as where the farm is located, planting season, soil characteristics, and climate will all be considered in the suggestions.
Huma Verma (Fri,) studied this question.