Implementation of IoT and Machine Learning for Smart Farming Monitoring System

In a country like mine, Ethiopia where there are 94 million people, agriculture is the main driver of the country’s economy contributing to 45% GDP and 85% of the population are farmers, Traditional methods used by farmers aren't suf?cient enough to serve the increasing demand and so they have to hamper the soil by using harmful pesticides in an intensi?ed manner. As to increase farm productivity by understanding and forecasting crop performance in a variety of environmental conditions this paper focuses on emerging different automation practices like IoT, Wireless Communications, Machine learning and Arti?cial Intelligence, Deep learning as part of the industry’s technological evolution