An adaptive adversarial domain adaptation approach for corn yield prediction

•Domain shift limits the transferability of yield prediction models.•A domain adaptation deep learning model was proposed for corn yield prediction.•The proposed ADANN model outperformed three other state-of-the-art models.•The ADANN model could effectively reduce the domain shift. Recently, statist...

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Veröffentlicht in:	Computers and electronics in agriculture 2021-08, Vol.187, p.106314, Article 106314
Hauptverfasser:	Ma, Yuchi, Zhang, Zhou, Yang, Hsiuhan Lexie, Yang, Zhengwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversarial training Agricultural production BASIC BIOLOGICAL SCIENCES Crop yield Deep learning Domain adaptation Domains Ecological effects Feature extraction Machine learning Neural networks Remote sensing Transfer learning Yield prediction
Online-Zugang:	Volltext
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