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Abstract
Our proposedSystem consists of Monitoring Farm ,cloudprocessing and pprovidinginformation and suggestions to the farmer using mobile application. Our system integrates data analytics using cloud computing and IoT concepts. Our system involves monitoring device integrated with NodeMCU ESP8266 Wi-Fi module for communication, sensors which are controlled by Arduino UNO microcontroller and device is powered by Ni-Cd Batteries or solar panel. Collecting sensed data from device in the farm and transmitting the data to the cloud server for processing crop recommendations using neural network algorithm. IBM Watson, an artificial cloud, which is used in our system. Farmers will receive suggestions of crops and fertilizers and also the information including eenvironmental and climatic conditions, real-time market prices, government schemes and natural calamities.The system also through voice call and messages in their native languages informs the user. The main aspect is framing the database based on location, climatic changes, soil and plant varieties, field factors, sensed data, and farmer’s interest to guide them by providing the suggestions on crops based on the above factors to increase crop productivity.