Analysing Crop Health Using AI and UAV Technology

This paper presents a novel web application that addresses a critical need in the field of plant science: automated, user-friendly detection of chlorophyll and xanthophyll levels in images captured using UAV technology. By leveraging image processing techniques, the web application offers a fast, convenient, and cost-effective alternative to traditional methods that rely on manual analysis or expensive equipment. This study categorizes and elucidates colour detection methods applicable to UAV imagery, furnishing a comprehensive overview of the research. Furthermore, the web application incorporates functionalities for video and audio conversion, providing a versatile toolset for researchers and practitioners working with multimedia data in plant science.