Comparative analysis of orbital sensors in soybean yield estimation by the random forest algorithm

Comparative analysis of orbital sensors in soybean yield estimation by the random forest algorithm

ABSTRACT Remote sensing has proven to be a promising tool allowing crop monitoring over large geographic areas. In addition, when combined with machine learning methods, the algorithms can be used for estimating crop yield. This study sought to estimate soybean yield through the enhanced vegetation...

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Bibliographic Details
Main Authors: Danielli Batistella, Alcir José Modolo, José Ricardo da Rocha Campos, Vanderlei Aparecido de Lima
Format: Article
Language:English
Published: Universidade Federal de Lavras 2023-07-01
Series:Ciência e Agrotecnologia
Subjects:
Remote sensing
yield estimation
machine learning.
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542023000100220&lng=en&tlng=en

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