Soil Classification, Crop Selection and Prediction of Fertilizer based on Soil Series

India's economy, which is mostly dependent on agriculture and agro-industry products, is an agricultural nation. Analyze the different factors that are associated, such as the location and the pH level used to calculate the soil's alkalinity. Together with the use of third-party applications like APIs for weather and temperature, type of soil, nutrient value of the soil in that region, amount of rainfall in that region, and soil composition, location is also used. Percentages of nutrients like Nitrogen (N), Phosphorous (P), and Potassium (K) are also considered. All these data attributes will be examined, and the data will be trained using several effective machine learning methods to create a model. The end user is provided with the system which gives recommendations regarding the fertilizer ratio required based on soil and atmospheric parameters. The system is precise and accurate for crop production prediction.