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Improved Winter Wheat Yield Estimation by Combining Remote Sensing Data, Machine Learning, and Phenological Metrics

Accurate yield prediction is essential for global food security and effective agricultural management. Traditional empirical statistical models and crop models face significant limitations, including high computational demands and dependency on high-resolution soil and daily weather data, that restr...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Shiji Li, Jianxi Huang, Guilong Xiao, Hai Huang, Zhigang Sun, Xuecao Li
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-08-01
Schriftenreihe:Remote Sensing
Schlagworte:
Online-Zugang:https://www.mdpi.com/2072-4292/16/17/3217
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