Apple Tree Leaf Disease Segmentation

The 'Apple Tree Leaf Disease Segmentation' dataset contains 1,641 samples of apple tree leaves categorized into six classes, and it is used to evaluate the performance of deep learning models in accurately segmenting and classifying leaf diseases for stress severity quantification in precision agriculture.

Papers using Apple Tree Leaf Disease Segmentation (1)

Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field Crops2026