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

Predicting sugarcane yield by quality allows stakeholders from research centers to industries to decide on the precise time and place to harvest a product on the field; hence, it can streamline workflow while leveling up the cost-effectiveness of full-scale production. °Brix and Purity can offer sig...

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Detalles Bibliográficos
Autores principales: Barbosa Júnior, Marcelo Rodrigues, Moreira, Bruno Rafael de Almeida, de Oliveira, Romário Porto, Shiratsuchi, Luciano Shozo, da Silva, Rouverson Pereira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929953/
https://www.ncbi.nlm.nih.gov/pubmed/36818852
http://dx.doi.org/10.3389/fpls.2023.1114852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929953/
https://www.ncbi.nlm.nih.gov/pubmed/36818852
http://dx.doi.org/10.3389/fpls.2023.1114852

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