Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Integrating computational fluid dynamics and field experiments to optimize mixing and irrigation strategies for biogas slurry application in Chinese yam
Related
- Irrigation, Phosphorus Application, and Inoculation Improve the Yield and Nutritional Quality of Alfalfa by Regulating Its Photosynthetic Performance
- Drip Irrigation and Fertilization Strategies Shape Soil Bacterial Community and Nutrient Utilization in Summer Peanut
- IrriTwin: Integrating reinforcement learning with soil water and crop models toward digital-twin-oriented irrigation scheduling
- Optimizing sunflower performance through integrated irrigation and zeolite strategies in the north Nile Delta
- FlowMLLab: An open-source framework for reproducible computational-fluid-dynamics and scientific-machine-learning experiments
BibTeX
@article{lu2026integrating,
title = {{Integrating computational fluid dynamics and field experiments to optimize mixing and irrigation strategies for biogas slurry application in Chinese yam}},
author = {Junyang Lu and Yuru Gao and Ying Tian and Yalu Shao and Jiamin Li and Jingui Li and Lila Du and Qing Chen and Jingnan Chen and Houdong Zhang and Fenglin Zhong},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-72063-3},
url = {https://www.nature.com/articles/s41598-026-72063-3},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Integrating computational fluid dynamics and field experiments to optimize mixing and irrigation strategies for biogas slurry application in Chinese yam
AU - Junyang Lu
AU - Yuru Gao
AU - Ying Tian
AU - Yalu Shao
AU - Jiamin Li
AU - Jingui Li
AU - Lila Du
AU - Qing Chen
AU - Jingnan Chen
AU - Houdong Zhang
AU - Fenglin Zhong
PY - 2026
DA - 2026/10/26
JO - Scientific Reports
DO - 10.1038/s41598-026-72063-3
UR - https://www.nature.com/articles/s41598-026-72063-3
SN - 2045-2322
ER -