Farming is the foundation of Indian economy. In recent years, crop yield is not as expected because the plants are drastically affected by diseases. Hence the farmer has to apply the pesticides for the entire farm periodically. It not only results in wastage of manpower, money and time, but also in increase of toxic levels in vegetables. Consuming such vegetables effects both animal and human life. Hence it is necessary to obtain a balance between high yield and less toxic vegetables. It is possible only when pesticides are applied to disease affected plants. Owing to the large size of the farm, manual inspection is not possible. Hence it is necessary to develop an automated disease detecting and alerting system. The proposed system aims at developing image processing technique for disease detection and alerting. Steps involved in this are image acquisition, image processing, image segmentation, feature extraction, classification and disease categorization. After detecting the disease, it sends the alerts through the buzzer.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
2020