ABSTRACT
India has become the most populous country in the world and food is an essential necessity for human beings. The major source of food production is agriculture. In addition, agriculture is India’s largest sector of employment. But widely traditional methods are used in agriculture that does not provide a great deal of efficiency. A solution system is deployed by the use of machine learning (ML) which will contribute to the improvement of the agricultural sector. The proposed solution will provide the best crop for seeding using specific traits. On the basis of soil data collected, it will suggest the necessary fertilizer which can be used in the field. The system will assist in irrigation scheduling, which will also inform when to irrigate the field. This will result in the saving of a significant amount of groundwater and freshwater, which is currently a concern. Using specific inputs, the model will also provide the soil moisture of the field.
