Agriculture based recommender system using IoT - A research

Abstract

In today’s world, IoT (Internet of Things) plays an important role in human life simply by allowing objects to be sensed or remotely controlled through other existing networks. Traditional farming methods with some recommendations will save time and effort. In this paper, we have planned to use technologies such as IoT, Machine Learning and Cloud computing to recommend to farmers the type of crop to be grown on the basis of available resources, climate, rainfall, temperature, market prices, area of land, past crop yield and other parameters, thereby reducing the effort and time required for different agricultural processes. In considering the above parameters, it is recommended that farmers grow and the type of pesticides and water supply be used from time to time. The system can help farmers produce suitable crops. As a result, they can improve their lifestyles and help society more. In this paper, we present an attempt to predict the yield and price of crops that a farmer can obtain from his land by analyzing past data patterns. It gives them an overview of the recommendation to grow the plant until the crop is sold. Therefore, provide a comprehensive guide to help farmers in their agricultural work.