Autonomous Farming Robot for Plant Health Indication Using Image Processing

Abstract: India is an agricultural country and most of the people are farmers. Farmers are cultivating different types of crop. These crops affected by fungi, bacteria, viruses and many more. Identification of disease is very difficult for farmers at its early stage. There are number of diseases found in crop. Farmers cannot be determining accurate percentage of observed disease. Patterns of diseases are so many complexes that finding affected area is difficult. In modern science, taking image of these diseases by using digital camera on robot to collect the data for leaf detection. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases. Disease detection involves the steps like moving robot mannerly for image acquisition, image pre-processing, image segmentation, feature extraction and classification. In this project we are using computer software which will extract the feature of leaves of plant by using digital camera. The system required the use of vision, with custom algorithms being developed to identify plant growth rates. The entire system will integrated into a fully automated package.

Keywords: Image processing, Plant disease, Plant health.