MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples

Accurate and fine-grained crop yield prediction plays a crucial role in advancing global agriculture. However, the accuracy of pixel-level yield estimation based on satellite remote sensing data has been constrained by the scarcity of ground truth data. To address this challenge, we propose a novel...

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Hauptverfasser: Shenzhou Liu, Di Wang, Haonan Guo, Chengxi Han, Wenzhi Zeng
Format: Artikel
Sprache:Englisch
Veröffentlicht: Elsevier 2025-09-01
Schriftenreihe:International Journal of Applied Earth Observations and Geoinformation
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Online-Zugang:http://www.sciencedirect.com/science/article/pii/S1569843225003954
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