个人简介：

刘冉，副教授，西班牙阿尔梅里亚大学博士，计算机专业，北京市农林科学院信息技术研究中心博士后，农业工程专业。2025年至今，于浙江农林大学园艺科学学院工作。

主要研究方向为温室环境智能控制、机器学习、PID控制、最优控制。在Biosystems Engineering、Computers and Electronics in Agriculture、Information Processing in Agriculture等期刊上发表研究论文十余篇。担任Building & Environment、Computers and Electronics in Agriculture等期刊审稿人。主持国自然青年基金、参与国家重点研发计划等子课题。2019年获国家建设高水平大学公派博士研究生资助，2023年获北京市农林科学院远大学者博士后资助。

主持项目：

1. 国家自然科学基金-青年项目（32302453），2024.1-2026.12，主持

2. 国家留学基金委-国家建设高水平大学公派研究生项目（201909505002）, 2019.11-2022.11，主持

3. 北京市博士后科研基金（2024-ZZ-092），2024.05-2025.02，主持

4. 北京市农林科学院博士后科研基金（2023-ZZ-010），2024.1-2024.12，主持

5. 浙江农林大学科研发展基金（2025LFR016），2025.05-2027.05，主持

发表论文：

1.  Liu R. *, Bournet P.-E., Guzmán J.L., et al., 2026. Variation analysis of natural ventilation and air temperature within a greenhouse cluster using a large-scale 3D CFD modelling, Computers and Electronics in Agriculture（一区TOP）, 240, 111220, https://doi.org/10.1016/j.compag.2025.111220.

2. Liu K., Ji T., et al., Liu R. *, 2025. Prediction of greenhouse temperature and humidity across growing seasons: Hybridization of process-based model and deep neural networks, Information Processing in Agriculture（一区TOP）, https://doi.org/10.1016/j.inpa.2025.11.002.

3. Liu R, Guzmán J.L., Gil J.D. et al., 2023. A hierarchical optimization strategy in the intelligent ecological control of the greenhouse downy mildew, Computers and Electronics in Agriculture（一区TOP）, 214, 108337, https://doi.org/10.1016/j.compag.2023.108337.

4. Liu R., Wang H., Guzmán J.L., Li M., 2022. A model-based methodology for the early warning detection of cucumber downy mildew in greenhouses: An experimental evaluation, Computers and Electronics in Agriculture（一区TOP）, 194, 106751, https://doi.org/10.1016/j.compag.2022.106751.

5. Liu R., Li M., Guzmán J.L., Rodríguez F., 2021. A fast and practical one-dimensional transient model for greenhouse temperature and humidity. Computers and Electronics in Agriculture（一区TOP）. 186, 106186, https://doi.org/10.1016/j.compag.2021.106186.

6. Liu R., Liu J., Liu H., et al., 2021. A 3-D simulation of leaf condensation on cucumber canopy in a solar greenhouse. Biosystems Engineering（二区TOP）, 210, 310-329, https://doi.org/10.1016/j.biosystemseng.2021.08.008.

7. Liu, R., Guzmán, J.L., García, F., Li, M., 2022. Selective temperature and humidity control strategy for a Chinese solar greenhouse with an event-based approach. Revista Iberoamericana de Automática e Informática Industrial. 00, 1-5. https://polipapers.upv.es/index.php/RIAI/article/view/18119.

8. Zhang, C.#, Liu, R.#, Liu, K., et al., 2022. A CFD transient model of leaf wetness duration on greenhouse cucumber leaves, Computers and Electronics in Agriculture（一区TOP）, 200, 107257, https://doi.org/10.1016/j.compag.2022.107257.

9. Liu R., Li M., Guzmán J.L., et al., 2023. Disease Early Warning and Intelligent Climate Control in the Chinese Solar Greenhouse, 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Pisa, Italy, 419-423. https://doi.org/10.1109/MetroAgriFor58484.2023.10424360.

10. Liu R., Shi Y., Bournet P.-E., Liu K., 2024. Development of a Machine Learning Natural Ventilation Rate Model by Studying the Wind Field Inside and Around Multiple-Row Chinese Solar Greenhouses, HORTICULTURAE （二区）, 10(1226): 1-23, https://doi.org/10.3390/horticulturae10111226.

邮箱：liuran@zafu.edu.cn