A Labeled Walnut Leaf Disease Original Image Dataset

Published: 22 September 2026| Version 3 | DOI: 10.17632/b67kf865yr.3
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Description

The Labeled Walnut Leaf Disease Dataset provides a benchmark collection of 3,771 standardized RGB foliar images of walnut (Juglans regia L.) captured under unconstrained, natural outdoor orchard environments during the summer growing season of 2025 across orchards in the Hawraman–Halabja region of the Kurdistan Region of Iraq (KRI). The dataset is organized into four main class directories representing distinct foliar diagnostic categories: 1. Eriophyes tristriatus (Walnut Blister Mite infestation): 848 images 2. Healthy (Normal, asymptomatic foliage): 1,032 images 3. Macrophomina phaseolina (Fungal charcoal rot / necrosis): 800 images 4. Stephanitis pyri (Pear Lace Bug infestation): 1,091 images Diagnostic class labels were verified through expert visual inspection in close collaboration with certified agricultural extension specialists. All field-captured images are standardized to a uniform resolution of 512 × 512 pixels in RGB format.

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Computer Vision, Plant Pathology, Precision Agriculture, Walnut, Deep Learning

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