Yolo-V9 for Orange Disease Detection:
YOLO-V9 is a state-of-the-art object detection algorithm that has been widely used in various applications, including plant disease detection. Orange disease detection is a crucial task in citrus production, as early detection can significantly reduce crop loss and improve fruit quality. YOLO-V9's robust performance and real-time processing capabilities make it an attractive choice for detecting various orange diseases, such as citrus canker, greening, and melanose. Researchers have successfully utilized YOLO-V9 to detect these diseases using computer vision and deep learning techniques.
glioblastoma multiforme (https://github.com/user-attachments/assets/f29bc32f-7ccc-4314-8aac-1937cf46f735)