MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints
- DOI
- 10.3390/s25216519
- Published
- 2025-10-23
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25216519,
title = {MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints},
author = {Yun Deng and Yongjian Xu and Yuanyuan Shi},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25216519},
url = {https://doi.org/10.3390/s25216519}
}RIS
TY - JOUR TI - MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints AU - Yun Deng AU - Yongjian Xu AU - Yuanyuan Shi PY - 2025 JO - Sensors DO - 10.3390/s25216519 UR - https://doi.org/10.3390/s25216519 ER -
APA
Deng, Y., Xu, Y., & Shi, Y. (2025). MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints. Sensors. https://doi.org/10.3390/s25216519
Source records
- crossref · retrieved 2026-11-10T07:38:34.740Z