A Comprehensive Dataset of Cotton Plant Diseases for National Disease Identification and Treatment Guidance
Description
Cotton is one of the world’s most economically significant fiber crops, forming the backbone of the global textile industry and supporting over 250 million livelihoods worldwide. With India contributing approximately 23% of global cotton production, the sector faces annual yield losses of 20–30% due to foliar diseases caused by fungal, bacterial, and viral pathogens. To support disease management and decision-making, this dataset provides a systematically compiled and curated tabular resource on 12 major cotton leaf diseases: Wilt, Bacterial Blight, Herbicide Growth Damage, Leaf Hopper Jassids, Curl Virus, Aphids, Fall Armyworm, Powdery Mildew, Cotton Boll Rot, Leaf Redding, Leaf Variegation, and Target Spot, synthesized from over 70 authoritative agricultural sources, including government portals, crop protection manuals, peer-reviewed journals, and pesticide manufacturer databases. Each entry captures symptoms, favorable environmental conditions, physical and biological treatments, chemical controls with standardized dosages, and preventive practices. This dataset can be used in multiple ways: farmers and agricultural extension workers can consult it as a practical field guide for identifying diseases and selecting appropriate management practices; agronomists and plant pathologists can analyze disease patterns, evaluate treatment effectiveness, and develop integrated crop protection strategies; and data scientists can leverage it to build predictive models, decision-support systems, and AI-powered disease detection tools. Its structured, source-driven format also allows users to compare recommendations across regions, explore the impact of environmental factors, and integrate the data into digital advisory platforms, making it a versatile resource for both practical field use and advanced research in sustainable cotton cultivation.