RSA-YOLO: an improved YOLOv8-based model for tomato leaf disease detection

Puntos clave

• Improved disease detection accuracy was achieved using the RSA-YOLO model, notably optimizing traditional methods.
• The model increased detection rates by 25% compared to standard YOLOv8 approaches during trials with over 1,000 images.
• Assessment using convolutional neural networks demonstrated advanced image analysis capabilities for leaf diagnostics.
• This model's enhancements may lead to more effective monitoring of plant health and reduced crop losses.