Cotton leaf curl disease (CLCuD) prediction modeling in upland cotton under different ecological conditions using machine learning tools-Reference-Cited by-同舟云学术

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Cotton leaf curl disease (CLCuD) prediction modeling in upland cotton under different ecological conditions using machine learning tools

Published:2024-07 Issue: Volume:81 Page:102648
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Sain Satish Kumar,Paul Debashis,Kumar Pradeep,Kumar Ashok,Mohan Man,Monga Dilip,Prakash A.H.,Prasad Yenumula G.

Publisher

Elsevier BV

Reference50 articles.

1. Comparison of resistance level to cotton leaf curl virus (CLCuV) among newly developed cotton mutants and commercial cultivars;Akhtar;Pl. Patho. J.,2002

2. Evaluation of Gossypium species for resistance to cotton leaf curl Burewala virus;Akhtar;Ann. Appl. Biol.,2010

3. Status of Bt cotton cultivation in major growing areas of Pakistan;Ali;Pak. J. Bot.,2010

4. RGB-based phenotyping of foliar disease severity under controlled conditions;Alves;Trop. Plant Pathol.,2022

5. Plant leaf disease classification using EfficientNet deep learning model;Atila;Eco. Inform.,2021

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