Disease Detection and Smart Farming System for Tomato Plants Using Machine Learning and IoT

In crop production, diseases are the most important concern regarding food security. The most popular crop in the world is the tomato which is found in different verity apart from the meal. It is the most cultivated crop after the potato in the world but due to the various types of diseases, the quality and quantity of the tomato has been decreasing. In recent trends, the combination of the Internet of Things and Machine Learning has played a vital role in the agriculture industry and providing support to the farmers to keep track of crop growth, monitor the temperature, humidity, and water level, and also use disease detection systems. The disease detection system is used but farmers are unaware of the disease at the initial level in the crop. This paper aims to propose a system based on machine learning and the Internet of Things to identify the plant root disease at early stage and provide a smart farming solution.