Estimating Cotton Yield in the Brazilian Cerrado Using Linear Regression Models from MODIS Vegetation Index Time Series

Estimating Cotton Yield in the Brazilian Cerrado Using Linear Regression Models from MODIS Vegetation Index Time Series

Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learning algorithms like Random Forest and Artificial Neural Networks, show promise. However, challenges such as val...

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Bibliographic Details
Main Authors: Daniel A. B. de Siqueira, Carlos M. P. Vaz, Flávio S. da Silva, Ednaldo J. Ferreira, Eduardo A. Speranza, Júlio C. Franchini, Rafael Galbieri, Jean L. Belot, Márcio de Souza, Fabiano J. Perina, Sérgio das Chagas
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:AgriEngineering
Subjects:
remote sensing
cotton production forecast
Brazil
Online Access:https://www.mdpi.com/2624-7402/6/2/54

Internet

https://www.mdpi.com/2624-7402/6/2/54

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