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 quality of crops and sprays the required amount pesticides for achieving the good yield in agriculture. The
robot is designed using an advanced processor known as yolov5 which is integrated with machine learning model. The machine
learning model with Image processing is trained with feature extraction, Segmentation and classification of disease using image
processing.
