Crop Yield Prediction and Fertilizer Usage Using Logistic Regression

India is an agricultural nation, hence the increase of its agricultural produce and the products of the agroindustry are the main drivers of its economy. The area of data mining is a relatively new one in crop yield analysis research. Predicting yield is a crucial problem in agriculture. Every farmer wants to know what kind of harvest he can anticipate. We examine a number of connected characteristics, such as location. It is possible to ascertain the amount of rainfall in an area, the nutrient value of the soil, and the weather and temperature using third-party apps, such as APIs. Each of these characteristics will be examined and used to train different machine learning algorithms in order to build a model. In order to accurately anticipate crop production and provide the user with appropriate advice on which crop to sow in order to improve yield and boost farmer revenue, the system is equipped with a model.