Published Paper Details:

Considering a nation where agriculture is still a dominant occupation and traditional farming methods are still in practice, thereby giving limited crop yields to the farmer which ultimately is less beneficial to the farmers compared to the inputs given by them. Hence, in order to maximize the yields of crops for given input, we are showcasing dif erent methods which will be useful to develop a recommendation system for smart farming. The proposed system of IoT and ML is enabled for soil testing using the sensors, is based on measuring and observing soil parameters.This system lowers the probability of soil degradation and helps maintain crop health. Present-day recommendations are based on farmers' communication between farmers, experts and various experts have a variety of recommendations. Recommendation can be provided to farmers who use past agricultural activities data. The application provides recommendations to farmers to determine the appropriate fertilizer and crop. This application can be used to increase crop yield and also recommend suitable crops.