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...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | englanti |
| Julkaistu: |
Elsevier
2025-09-01
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| Sarja: | International Journal of Applied Earth Observations and Geoinformation |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S1569843225003954 |
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