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

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 (...

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Bibliographic Details
Main Authors: João Everthon da Silva Ribeiro, Ester dos Santos Coêlho, Anna Kézia Soares de Oliveira, Antonio Gideilson Correia da Silva, Welder de Araújo Rangel Lopes, Pablo Henrique de Almeida Oliveira, Elania Freire da Silva, Aurélio Paes Barros Júnior, Lindomar Maria da Silveira
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Heliyon
Subjects:
Leaf length
Leaf width
Machine learning
Multilayer perceptrons
Sesamum indicum L.
Simple linear regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023050429

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http://www.sciencedirect.com/science/article/pii/S2405844023050429

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