Early Prediction of Coffee Yield in the Central Highlands of Vietnam Using a Statistical Approach and Satellite Remote Sensing Vegetation Biophysical Variables

Early Prediction of Coffee Yield in the Central Highlands of Vietnam Using a Statistical Approach and Satellite Remote Sensing Vegetation Biophysical Variables

Given the present climate change context, accurate and timely coffee yield prediction is critical to all farmers who work in the coffee industry worldwide. The aim of this study is to develop and assess a coffee yield forecasting method at the regional scale in Dak Lak province in the central highla...

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Bibliographic Details
Main Authors: Nguyen Thi Thanh Thao, Dao Nguyen Khoi, Antoine Denis, Luong Van Viet, Joost Wellens, Bernard Tychon
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
coffee yield forecast
remote sensing vegetation biophysical variables
early prediction
CGMSstatTool
Vietnam
LAI
Online Access:https://www.mdpi.com/2072-4292/14/13/2975

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