MULTI LINGUAL MOBILE APP FOR REAL-TIME DISEASE DETECTION
DOI:
https://doi.org/10.46647/rdems0205013Keywords:
Cotton disease, Mobile app, Machine learning, Image Processing, Pesticide recommendation, Disease Detection, Offline System, Smart FarmingAbstract
Our platform provides a comprehensive mobile solution for identifying cotton leaf diseases and suggesting pesticide options. It offers offline functionality for remote regions, supports local languages, and combines disease severity with the appropriate dosage for treatment. This system aims to provide farmers with a complete, accessible, and cost-effective tool for crop management. A key innovation of the system is its ability to assess disease severity using advanced image processing and machine learning algorithms, which enables the dynamic adjustment of pesticide dosage based on real-time crop health data. This targeted approach ensures effective treatment while minimizing the overuse of chemicals, promoting sustainable and environmentally friendly agricultural practices.