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Updated: Jun 7, 2025

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Assessing and improving the high uncertainty of global gross primary productivity products based on deep learning

Long Qian1, Xingjiao Yu2, Zhitao Zhang2

  • 1College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China; School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang 330099, China; Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.

The Science of the Total Environment
|November 9, 2024
PubMed

Keywords:
Convolutional neural networkExtreme climatic conditionsGPP productsGross primary productivityUncertainty

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