Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data

Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data

Knowing the expected crop yield in the current growing season provides valuable information for farmers, policy makers, and food processing plants. One of the main benefits of using reliable forecasting tools is generating more income from grown crops. Information on the amount of crop yielding befo...

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Bibliographic Details
Main Authors: Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Land
Subjects:
crop yield prediction
independent variables
ANN
remote sensing
Online Access:https://www.mdpi.com/2073-445X/10/6/609

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