Affordable Smart Farming Using IoT and Machine Learning

Each year many crops go waste due to a lack of optimal climatic conditions to support crop growth. Losses to the tune of over 11 billion dollars are reported each year in India alone. In this paper, we develop an affordable system which when deployed will give an insight into the real time condition of the crop. The system leverages Internet of Things(IoT) and Machine learning to produce an affordable smart farming module. This system uses state-of-the-art methods in order to improve the accuracy of the results and automate the monitoring of crops thereby requiring minimal human intervention. IoT is used to connect the ground module which includes the sensors to the cloud infrastructure. In the cloud, machine learning based real-time analytics is performed to predict the future condition of the crops based on its past data.