Sugarcane Diseases
Published: 24 February 2026| Version 1 | DOI: 10.17632/rzh99cj2rj.1
Contributors:
Ijaz Kalhoro, , Description
The sugarcane disease dataset was developed to facilitate automated detection and classification of major diseases affecting sugarcane crops using deep learning and computer vision techniques. The dataset consists of high-resolution RGB images collected directly from farmers’ fields under natural environmental conditions, ensuring real-world variability in illumination, background, leaf orientation, and disease severity.
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Institutions
- Shah Abdul Latif UniversitySindh, Khairpur
Categories
Artificial Intelligence Applications, Sugarcane, Agriculture