Revolutionizing tomato disease detection in complex environments

• Published in: Frontiers in plant science Vol. 15; p. 1409544
• Main Authors: Xin, Diye, Li, Tianqi
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 16.09.2024
• Subjects: Cascaded Group Attention; feature fusion; Focaler-CIoU loss function; lightweight backbone; Plant Science; Real-Time-Detection-Transformer; tomato leaf disease; Real-Time-Detection-Transformer; feature fusion; Cascaded Group Attention; Focaler-CIoU loss function; lightweight backbone; tomato leaf disease

In the current agricultural landscape, a significant portion of tomato plants suffer from leaf diseases, posing a major challenge to manual detection due to the task’s extensive scope. Existing detection algorithms struggle to balance speed with accuracy, especially when identifying small-scale leaf...