Agricultural Crop Recommendation System Using IoT and M.L.
Prof. Swati Dhabarde, Akshay Gupta, Devyani Pote, Arati Yadav, Swapnil Bisane
Abstract
Agriculture is the backbone for a developing economy like India and there is an enormous need to maintain the agricultural sustainability. Hence it is a significant contribution towards the economic and agricultural welfare of the countries across the world. Effective utilization of agricultural land is crucial for ensuring food safety and security of a country. The aim of this paper is to propose an IoT and ML based Agriculture system that can assist farmers or agriculturist in crop prediction based on Metrological Agriculture theory by getting live Metrological data from the crop field using IoT technology and M.L for prediction which will enable smart farming and increase their overall yield and quality of products.