Optimizing Crop Yield Prediction: Inter-Dated Vegetation Indices & Automl Ensembles in Processing Tomato Crop
Author:
Affiliation:
1. Agricultural University of Athens,Department of Natural Resources and Agricultural Engineering,Athens,Greece,11855
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641757.pdf?arnumber=10641757
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1. Performance evaluation of spectral vegetation indices using a statistical sensitivity function
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3. Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
4. Remote Sensing for Crop Management
5. Spaceborne Estimation of Leaf Area Index in Cotton, Tomato, and Wheat Using Sentinel-2
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