UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane.

Barbosa Júnior, Marcelo Rodrigues; Moreira, Bruno Rafael de Almeida; de Oliveira, Romário Porto; Shiratsuchi, Luciano Shozo; da Silva, Rouverson Pereira

Barbosa Júnior, Marcelo Rodrigues; Moreira, Bruno Rafael de Almeida; de Oliveira, Romário Porto; Shiratsuchi, Luciano Shozo; da Silva, Rouverson Pereira.

Afiliação

Barbosa Júnior MR; Department of Engineering and Mathematical Sciences, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), São Paulo, Brazil.
Moreira BRA; AgCenter, School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA, United States.
de Oliveira RP; Department of Engineering and Mathematical Sciences, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), São Paulo, Brazil.
Shiratsuchi LS; Department of Engineering and Mathematical Sciences, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), São Paulo, Brazil.
da Silva RP; AgCenter, School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA, United States.

Front Plant Sci ; 14: 1114852, 2023.

Article em En | MEDLINE | ID: mdl-36818852

Palavras-chave

Saccharum spp.; brix; remote sensing; ripening; smart harvest; sucrose

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

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