Unveiling the High-Resolution Cotton Yield Variations from Low-Resolution Statistics: Lessons from a Nationwide Study in Turkey
Author:
Affiliation:
1. Istanbul Technical University (ITU),Faculty of Civil Engineering,Istanbul,Turkey,TR-34469
2. University of Twente,Faculty of Geo-Information Science and Earth Observation (ITC),Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641634.pdf?arnumber=10641634
Reference9 articles.
1. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
2. Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index
3. Uncovering the Drivers and Regional Variability of Cotton Yield in China
4. A weakly supervised framework for high-resolution crop yield forecasts
5. Can field-scale yield be reconstructed from commune-scale yield using Sentinel-1?;Erten
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