ABSTRACT
India is an agricultural dependent country; its economy mostly depends on crop yield production and other agro-industry products. We are trying to bring an increment in the field of agriculture precision by getting better results in predicting crop production as compared to the research done in the field. With the use of machine learning (ML) techniques and efficient algorithms, a system can be built based on previous data of weather conditions and soil conditions that provide accurate and precise decision help. The proposed system will integrate and process the data obtained from stored repository, weather data, and by applying ML algorithm. This project helps in getting a solution for Smart Agriculture by monitoring the crop field which can assist the farmers in the process of increasing productivity to a great extent.
