Identification of the plant disease is the key to preventing the losses in the yield and quantity of the agricultural product. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult for human with normal eyes to observe the leaf color and to understand the health condition of the plant. It requires expertize in the plant diseases, and also require excessive time to understand the health condition of the plant. Hence leaf image processing system used to understand the health condition of the plant by detecting diseases affecting the plants.
Vision-based row guidance method is used to guide a robot platform which is designed self-operating to drive through the row crops in a field.