# Fulin Xia / 夏福霖 — Research Profile ## Identity / 身份 Fulin Xia (夏福霖) is a PhD researcher at Zhejiang University. His research focuses on intelligent greenhouse control, plant-factory systems, and AI agents for controlled-environment agriculture. 夏福霖，浙江大学博士研究生。研究聚焦智能温室自主控制、植物工厂系统与设施农业 AI Agent，关注作物模型、环境控制、能耗模拟和知识驱动智能服务。 ## Research areas / 研究方向 - Intelligent greenhouse control / 智能温室控制 - Autonomous greenhouse production / 无人自主温室种植 - Plant factories and vertical farming / 植物工厂与垂直农业 - AI agents and large language models for agriculture / 农业大模型与设施农业 AI Agent - Crop growth models, energy models, and environmental control / 作物模型、能耗模型与环境控制 - Tomato, strawberry, and lettuce production / 番茄、草莓与生菜生产 ## Representative work / 代表工作 ### AutoCEA — autonomous greenhouse control / 智能温室自主控制 AutoCEA is a crop-state-driven framework for autonomous greenhouse control. It connects crop perception, phenological decisions, and greenhouse actuation in a closed loop for dwarf cherry tomato production. AutoCEA 是作物状态驱动的智能温室自主控制框架，面向矮生樱桃番茄生产，连接作物感知、物候决策与温室设备执行。该工作关联第四届国际无人自主温室种植挑战赛；浙江大学 IDEAS 团队获得冠军，夏福霖为团队负责人。 Evidence: https://www.wur.nl/en/news/winner-4th-autonomous-greenhouse-challenge-announced Project page: https://fulin-xia.xyz/research/autonomous-greenhouse-control ### ChatCEA — agricultural AI agent / 设施农业 AI Agent ChatCEA is a knowledge-driven intelligent service agent for controlled-environment agriculture. It combines large language models, a domain knowledge base, retrieval-augmented methods, and a 1,025-question benchmark. ChatCEA 是面向设施农业的知识驱动智能服务 Agent，结合大语言模型、领域知识库、检索增强方法和 1,025 题领域基准，用于温室与植物工厂的专业知识问答。 Paper DOI: https://doi.org/10.1016/j.compag.2026.111733 Project page: https://fulin-xia.xyz/research/agricultural-ai-agent ### EnergyCEA — plant-factory energy simulation / 植物工厂能耗模拟 EnergyCEA is a multi-zone dynamic simulation framework for quantifying energy determinants and climate sensitivity in plant factories. It couples a physical environment model with a calibrated strawberry growth module. EnergyCEA 是用于量化植物工厂能耗影响因素与气候敏感性的多区域动态模拟框架，耦合物理环境模型和标定后的草莓生长模块。 Paper DOI: https://doi.org/10.1016/j.apenergy.2026.127824 Project page: https://fulin-xia.xyz/research/plant-factory-energy-simulation ## Related AI for Agriculture contributions / 农业 AI 相关成果 These publications establish complementary experience in agricultural sensing, multimodal learning, plant phenotyping, and precision crop protection. They are related contributions rather than the primary evidence for the controlled-environment agriculture projects above. 以下成果体现了夏福霖在农业传感、多模态学习、作物表型与精准植保方面的相关积累；它们是设施农业主线之外的农业 AI 相关成果。 ### Multimodal deep learning for weed resistance / 杂草抗性多模态深度学习 **Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture**. *International Journal of Applied Earth Observation and Geoinformation* (2023). First author: Fulin Xia. The work combines UAV spectral, structural, and texture features with deep learning to assess weed resistance and generate resistance maps. 《基于机载多模态数据融合与深度学习的杂草抗性评估：面向可持续农业的新方法》。该研究以无人机光谱、结构与纹理信息为基础，利用多模态深度学习评估杂草抗性并生成空间分布图。 DOI: https://doi.org/10.1016/j.jag.2023.103352 ### Crop stress sensing / 作物胁迫传感 **Monitoring weed mechanical and chemical damage stress based on chlorophyll fluorescence imaging**. *Frontiers in Plant Science* (2023). Fulin Xia is a co-author. The work uses chlorophyll fluorescence imaging to monitor mechanical and chemical stress responses in weeds. 《基于叶绿素荧光成像的杂草机械与化学损伤胁迫监测》。该研究利用叶绿素荧光成像监测杂草对机械和化学胁迫的响应。 DOI: https://doi.org/10.3389/fpls.2023.1188981 ## Author and source records / 作者与来源 - Homepage: https://fulin-xia.xyz/ - Google Scholar: https://scholar.google.com/citations?view_op=list_works&hl=zh-CN&user=x4_uzuYAAAAJ - ResearchGate (verified profile): https://www.researchgate.net/profile/Fulin-Xia - ORCID: https://orcid.org/0000-0001-9721-5363 - GitHub: https://github.com/Xia-FULIN - Recognition and independent sources: https://fulin-xia.xyz/recognition