COT-AD: cotton analysis dataset

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dc.contributor.author Ali, Akbar
dc.contributor.author Vyas, Mahek
dc.contributor.author Debnath, Soumyaratna
dc.contributor.author Kamra, Chanda Grover
dc.contributor.author Khalane, Jaidev Sanjay
dc.contributor.author Devanesan, Reuben Shibu
dc.contributor.author Mastan, Indra Deep
dc.contributor.author Sankaranarayanan, Subramanian
dc.contributor.author Khanna, Pankaj
dc.contributor.author Raman, Shanmuganathan
dc.coverage.spatial United States of America
dc.date.accessioned 2025-08-29T13:22:37Z
dc.date.available 2025-08-29T13:22:37Z
dc.date.issued 2025-09-14
dc.identifier.citation Ali, Akbar; Vyas, Mahek; Debnath, Soumyaratna; Kamra, Chanda Grover; Khalane, Jaidev Sanjay; Devanesan, Reuben Shibu; Mastan, Indra Deep; Sankaranarayanan, Subramanian; Khanna, Pankaj and Raman, Shanmuganathan, "COT-AD: cotton analysis dataset", in the IEEE International Conference on Image Processing (ICIP 2025), Anchorage, US, Sep. 14-17, 2025.
dc.identifier.uri https://doi.org/10.1109/ICIP55913.2025.11084734
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/11821
dc.description.abstract This paper presents COT-AD, a comprehensive Dataset designed to enhance cotton crop analysis through computer vision. Comprising over 25,000 images captured throughout the cotton growth cycle, with 5,000 annotated images, COT-AD includes aerial imagery for field-scale detection and segmentation and high-resolution DSLR images documenting key diseases. The annotations cover pest and disease recognition, vegetation, and weed analysis, addressing a critical gap in cotton-specific agricultural datasets. COT-AD supports tasks such as classification, segmentation, image restoration, enhancement, deep generative model-based cotton crop synthesis, and early disease management, advancing data-driven crop management .The COT-AD dataset can be found here: https://aamaanakbar.github.io/COT-AD/.
dc.description.statementofresponsibility by Akbar Ali, Mahek Vyas, Soumyaratna Debnath, Chanda Grover Kamra, Jaidev Sanjay Khalane, Reuben Shibu Devanesan, Indra Deep Mastan, Subramanian Sankaranarayanan, Pankaj Khanna and Shanmuganathan Raman
dc.language.iso en_US
dc.publisher Institute of Electrical and Electronics Engineers
dc.subject Cotton Crop Dataset
dc.subject Crop Monitoring
dc.subject Precision Farming
dc.title COT-AD: cotton analysis dataset
dc.type Conference Paper
dc.relation.journal IEEE International Conference on Image Processing (ICIP 2025)


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