Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields

Title
Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 14, Pages 2230
Publisher
MDPI AG
Online
2020-07-14
DOI
10.3390/rs12142230

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