Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics

Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics

Detailed and accurate statistics on crop productivity are key to inform decision-making related to sustainable food production and supply ensuring global food security. However, annual and high-resolution crop yield data provided by official agricultural statistics are generally lacking. Earth obser...

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Bibliographic Details
Main Authors:	Patric Brandt, Florian Beyer, Peter Borrmann, Markus Möller, Heike Gerighausen
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	GIScience & Remote Sensing
Subjects:	Agricultural statistics Copernicus crop yield earth observation machine learning meta-learning
Online Access:	https://www.tandfonline.com/doi/10.1080/15481603.2024.2367808
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