Artificial neural network approach for predicting the sesame (Sesamum indicum L.) leaf area: A non-destructive and accurate method

The estimative of the leaf area using a nondestructive method is paramount for successive evaluations in the same plant with precision and speed, not requiring high-cost equipment. Thus, the objective of this work was to construct models to estimate leaf area using artificial neural network models (...

Descripción completa

Detalles Bibliográficos
Autores principales: da Silva Ribeiro, João Everthon, dos Santos Coêlho, Ester, de Oliveira, Anna Kézia Soares, Correia da Silva, Antonio Gideilson, de Araújo Rangel Lopes, Welder, de Almeida Oliveira, Pablo Henrique, Freire da Silva, Elania, Barros Júnior, Aurélio Paes, Maria da Silveira, Lindomar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368775/
https://www.ncbi.nlm.nih.gov/pubmed/37501953
http://dx.doi.org/10.1016/j.heliyon.2023.e17834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368775/
https://www.ncbi.nlm.nih.gov/pubmed/37501953
http://dx.doi.org/10.1016/j.heliyon.2023.e17834

Ejemplares similares