Early Disease Detection and Optimizing Growth Conditions in Floral Plant Cultivation Using IOT

This research paper explores a comprehensive approach to flower plant management, encompassing disease and pest identification with predictive solutions, the integration of IoT devices for soil analysis and environmental control, bud-based flower count estimation for income calculation, and the application of image processing for marketing insights. By combining advanced technology, this study aims to enhance the efficiency and sustainability of flower cultivation, from early disease detection to optimizing growth conditions, financial planning, and market research, ultimately revolutionizing the floral industry.