CLASSIFICATION OF IRRIGATION MANAGEMENT PRACTICES IN MAIZE HYBRIDS USING MULTISPECTRAL SENSORS AND MACHINE LEARNING TECHNIQUES

CLASSIFICATION OF IRRIGATION MANAGEMENT PRACTICES IN MAIZE HYBRIDS USING MULTISPECTRAL SENSORS AND MACHINE LEARNING TECHNIQUES

ABSTRACT The integration multispectral sensors with machine learning algorithms has demonstrated increasing efficacy in the classification of various maize morphophysiological characteristics. The hypothesis of this study is that maize plants subjected to different irrigation management practices ex...

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Bibliographic Details
Main Authors: João L. G de Oliveira, Dthenifer C. Santana, Izabela C de Oliveira, Ricardo Gava, Fábio H. R. Baio, Carlos A da Silva Junior, Larissa P. R. Teodoro, Paulo E. Teodoro, Job T de Oliveira
Format: Article
Language:English
Published: Sociedade Brasileira de Engenharia Agrícola 2025-03-01
Series:Engenharia Agrícola
Subjects:
Random Forest
Vegetation Indices
Artificial Neural Networks
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025000100311&lng=en&tlng=en
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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025000100311&lng=en&tlng=en

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