Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area

Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area

Leaf area is an important parameter in plant growth, physiology, and productive potential studies. However, its measurement using traditional methods can be limited. The search for non-destructive approaches based on leaf dimensions is essential, and machine learning offers promising alternatives fo...

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Bibliographic Details
Main Authors: Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Helianthus annuus L.
artificial neural networks
regression models
alometric models
precision agriculture
Online Access:https://ieeexplore.ieee.org/document/11108270/
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