LLD: Lemon Leaf Disease Image Dataset for AI-Based Plant Health Detection

This dataset presents 4,775 high-quality JPEG (.jpg) images of lemon leaves with an original resolution of 3024 × 4032 pixels, later resized to 1440 × 1080 pixels for uniformity and model compatibility. The images were captured in Kushtia, Khulna, Bangladesh, between August 20, 2023, and August 28, 2023. It includes nine distinct classes representing both healthy and diseased leaf conditions: Algal Leaf Spot, Black Spot, Citrus Canker, Citrus Scab, Citrus Pest, Leaf Curl, Greening, Healthy Leaf, and Yellow Spot. All images were taken under natural lighting using an iPhone XS Max and categorized based on visible symptoms of common citrus diseases. This dataset supports deep learning and AI-based research in plant disease recognition, smart farming, and agricultural automation, making it valuable for developing machine learning models in precision agriculture.

Classes and Image Counts:
Algal Leaf Spot — 875 images
Black Spot — 613 images
Citrus Canker — 578 images
Citrus Scab — 333 images
Citrus Pest — 645 images
Leaf Curl — 339 images
Greening — 528 images
Healthy Leaf — 496 images
Yellow Spot — 368 images
Total Images: 4,775