Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks

Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks

Using UAV and multispectral images has contributed to identifying field variability and improving crop management through different data modeling methods. However, knowledge on application of these tools to manage peanut maturity variability is still lacking. Therefore, the objective of this study w...

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Bibliographic Details
Main Authors: Adão F. Santos, Lorena N. Lacerda, Chiara Rossi, Leticia de A. Moreno, Mailson F. Oliveira, Cristiane Pilon, Rouverson P. Silva, George Vellidis
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
remote sensing
vegetation index
artificial intelligence
<i>Arachis hypogaea</i> L.
Online Access:https://www.mdpi.com/2072-4292/14/1/93

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