Synergistic Use of Low-Cost Nir Scanner and Geospatial Covariates to Enhance Soil Organic Carbon Predictions Using Dual Input Deep Learning Techniques
Author:
Affiliation:
1. University of Florida,Institute of Food and Agricultural Sciences,Department of Soil, Water, and Ecosystem Sciences,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640665.pdf?arnumber=10640665
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