An Intelligent Agricultural Field Monitoring and Management System using Internet of Things and Machine Learning

Agriculture is a primary concern of every developing nation. But most of the processes involved in agricultural sector are still orthodox and inefficient. Though the technology is improving day by day, it is high time to incorporate technology innovations into the field of agriculture for better productivity and resource utilization. We propose an intelligent farming technology with the aid of Internet of Things (IoT) and Machine Learning to make various farming techniques smarter and efficient. Various sensors were deployed in the fields to remotely monitor the parameters of soil, water and air. The sensed information is fed to an Android app and it will process the data and alert the farmer if any unusual events occur. We are also using convolutional neural network for detecting various diseases affected by the plants. Experimental results validate that our model can be used for efficient utilization of agricultural resources like water and fertilizers and thereby improve the productivity and profit.