Predicting Soybean Yield with NDVI Using a Flexible Fourier Transform Model

We use models incorporating the normalized difference vegetation index (NDVI) derived from remote sensing satellites to improve soybean yield predictions in 10 major producing states in the United States. Unlike traditional methods that assume an ordinary least squares model applies to all observati...

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Bibliographic Details
Published in:Journal of agricultural and applied economics 2019-08, Vol.51 (3), p.402-416
Main Authors: Xu, Chang, Katchova, Ani L.
Format: Article
Language:English
Subjects:
Accuracy
Agricultural economics
Agricultural production
Crop diseases
Crop yield
Crops
Developing countries
Economic models
Flexibility
Forecasting
Fourier transforms
Growing season
Harvest
LDCs
Nonlinear response
Normalized difference vegetative index
Predictions
Remote sensing
Soybeans
Variables
Vegetation
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