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Articles

Prediction of cotton leaf curl virus disease and its management through resistant germplasm and bio-products

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Pages 170-186 | Received 23 Nov 2017, Accepted 09 Feb 2018, Published online: 26 Feb 2018

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Nazir Ahmad, Salman Qadri & Nadeem Akhtar. (2024) A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques. Cogent Food & Agriculture 10:1.
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Muhammad Umar Shahbaz, Muhammad Ehetisham ul Haq, Muhammad Kamran, Waseem Abbas, Asia Batool, Huma Abbas, Muhammad Amir Amin & Muhammad Azhar Iqbal. (2023) Prediction of cotton leaf curl virus disease at different potassium dosses based on abiotic environmental factors and sowing dates. Archives of Phytopathology and Plant Protection 56:15, pages 1205-1220.
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Articles from other publishers (4)

Satish Kumar Sain, Debashis Paul, Pradeep Kumar, Ashok Kumar, Man Mohan, D. Monga, A.H. Prakash & Y.G. Prasad. (2024) Cotton leaf curl disease (CLCuD) prediction modeling in upland cotton under different ecological conditions using machine learning tools. Ecological Informatics, pages 102648.
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Nargis Shah, Jamal-U-Ddin Hajano, Manzoor Ali Abro & Abdul Mubeen Lodhi. (2023) Field Screening of Cotton Genotypes for Resistance to Cotton Leaf Curl Disease (CLCuD) in Sindh. International Journal of Phytopathology 12:1, pages 73-86.
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Rana Muhammad Saleem, Rafaqat Kazmi, Imran Sarwar Bajwa, Amna Ashraf, Shabana Ramzan & Waheed Anwar. (2021) IOT-Based Cotton Whitefly Prediction Using Deep Learning. Scientific Programming 2021, pages 1-17.
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Bhuvaneswari Madasamy, Paramasivan Balasubramaniam & Ritaban Dutta. (2020) Microclimate-Based Pest and Disease Management through a Forewarning System for Sustainable Cotton Production. Agriculture 10:12, pages 641.
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