ABSTRACT
Most of the Indian farmers are farming without complete and accurate knowledge of weather conditions, type of soil (crucial aspect of crop productivity), seeds for good and resourceful production, and types of fertilizers, as all these factors are crucial to good and fertile productivity. Enhancing knowledge of farmers will certainly enhance the productivity of agriculture, indeed enhancing the economy of our country as the economy of India is dependent on agriculture. Prediction of weather condition, checking the fertility of soil (like minerals in the soil), moisture, and the type of crop to be cultivated in such agricultural land will add advantages to the productivity.
The proposed model with usage of data science tools will help and give guidance to farmers and and the farming industry with proper probabilities of the features like soil, weather condition forecasting, required type of seeds, availability of such seeds at reliable centers, and best types of fertilizer availability are the functionalities that are included in this type of model.
