Agricultural Robot: Leaf Disease Detection and Monitoring the Field Condition Using Machine Learning and Image Processing

摘要

India is a land of agriculture and mainly known for growing variety of crops. Around half of the population in India depend on agriculture. Diseases to the crops may affect the livelihood of the farmers. In order to overcome this major problem, a robot that detects the leaf disease using image processing and Machine learning is deployed. This robot also monitors the field condition such as soil moisture, quality of crops and sprays the required amount of water and pesticides for achieving the good yield in agriculture. The robot is designed using an advanced processor known as Lattepanda which is integrated with machine learning model. The machine learning model with Image processing is trained with feature extraction, Segmentation using Mean Shift Algorithm and classification of disease using SVM classifier. Android application is used for controlling the robot. This application controls all the operation of the robot. The current field situation and disease is alerted to the farmer in the form of SMS.