Nondestructive prediction of leaf area in colored cotton cultivars:a comparative approach using machine learning models with an interactive web interfaceOA
Nondestructive prediction of leaf area in colored cotton cultivars:a comparative approach using machine learning models with an interactive web interface
SILVA RIBEIRO João Everthonda;BARROS JÚNIOR Aurélio Paes;SANTOS COÊLHO Esterdos;FAGUNDES Rislayne Ingrid;MELO Ramon Silva;SOUZA MORAIS Carlos Danielde;SANTOS Diego Mendonça;SILVEIRA Lindomar Mariada
Department of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,BrazilDepartment of Agricultural and Forestry Sciences,Universidade Federal Rural do Semi-Árido,Mossoró,Rio Grande Do Norte,Brazil
Colored cottonLeaf areaNondestructive predictionLinear regressionSupport vector regressionPrecision agriculture
Colored cottonLeaf areaNondestructive predictionLinear regressionSupport vector regressionPrecision agriculture
《棉花研究（英文）》 2026 (1)
89-106,18
This study was financed in part by the Brazilian fostering agencies Coorde-nação de Aperfeiçoamento de Pessoal de Nível Superior(CAPES[Coordination for the Advancement of Higher Education Personnel])—Finance Code 001)and Conselho Nacional de Desenvolvimento Científico e Tecnológico(CNPq[National Council for Scientific and Technological Development]).
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