Design and Implementation of Smart Farming System

Abstract

Agriculture is one of the important aspects to feed ever growing population and is the source of the world’s food supply. Monitoring and disease detection plays an important role in the successful cultivation of crops on the farmland. The proposed system is a Smart farming system that can able to monitor the farmland parameters like temperature and humidity, soil moisture content, and detect the plant diseases using Machine Learning Techniques. The system uses Raspberry Pi for both automation and disease detection systems. The sensor data can be viewed by the farmers using a Web page. After detecting any diseases in the plants, the information is automatically sent to the farmer via mail.