Crop Productivity Analysis and Predictions Using Machine Learning Approach

Without a question, the main source of income in rural India is provided by agriculture and its affiliated industries. The country's Real Gdp is also significantly influenced by the agriculture industry (GDP). The country is fortunate to have such a huge agriculture sector. However, the yield of crops per hectare in relation to global norms is unsatisfactory. It is one of the likely reasons why marginal farmers commit suicide at a higher rate. For farmers, this research suggests a practical and approachable yield prediction system. A smartphone application used in the proposed method connects farmers to the internet. GPS assists in locating the user. The user enters the location and soil type