Abstract: Tomato Leaf Diseases (TLD) pose a significant threat to crop productivity and fruit quality, as they can spread rapidly if not detected and treated at an early stage. Manual inspection of leaves is time-consuming and prone to human error, particularly because different diseases often exhibit similar visual symptoms. With the advancement of Computer Vision (CV), automatic detection of TLD has become possible; however, most existing methods rely solely on image-based classification and fail to consider the relationships among symptoms that agricultural experts typically use for accurate diagnosis..

Downloads: | DOI: 10.17148/IJIREEICE.2025.131106