蔬菜Issue(8)：81-91,11.DOI:10.26924/j.cnki.sczz.2026.8006
设施蔬菜生长模型研究进展与未来趋势
Research Progress and Future Trends in Growth Models of Protected Vegetables
摘要
Abstract
Given the increasingly prominent role of crop growth models in improving quality-and-efficiency,enhancing resource utilization,and regulating greenhouse environments for protected vegetables,this paper systematically reviews the evolution of protected-vegetable growth models.It comparatively illustrates the modeling principles,advantages,limitations,and applicable scenarios of four model frameworks:mechanistic models,empirical-statistical models,data-driven models,and multi-source coupled models including digital twins.Industrial application scenarios of existing models are summarized from three dimensions:yield and quality prediction,cultivation-management decision-making,and crop phenotyping analysis.Prominent challenges in this field are analyzed,including poor cross-scenario generalization of models,high costs for parameter calibration and validation,and low coupling degree between models and greenhouse environmental control systems.Four development countermeasures are proposed:establishing a standardized modeling system and a sharing platform for multi-source heterogeneous data,realizing deep integration of models and greenhouse environmental control via digital twins,conducting multi-objective collaborative optimization by combining multi-dimensional high-throughput phenotyping technology and artificial intelligence,and building an interdisciplinary innovation system integrating industry,university,research and end-user application.Finally,future industry trends are prospected.It is pointed out that protected-vegetable growth models will gradually evolve into self-evolving intelligent agents,expand to full-domain coupling of facility-climate-energy systems,and serve as the core for fully autonomous closed-loop management and control based on digital twins.This results can provide theoretical and technical references for the standardized and intelligent application of growth models for protected vegetables in smart agriculture.关键词
设施蔬菜/作物生长模型/机理模型/智能驱动/数字孪生/表型监测/人工智能Key words
protected vegetable/crop growth model/mechanistic model/intelligence-driven/digital twin/phenotypic monitoring/artificial intelligence分类
农业科技引用本文复制引用
徐德敏,王华阳,王亮,张嘉鹏,马韫韬,朱晋宇..设施蔬菜生长模型研究进展与未来趋势[J].蔬菜,2026,(8):81-91,11.基金项目
国家重点研发计划项目(2023YFD2000600) （2023YFD2000600）
国家自然科学基金面上项目(32372799、32271987) （32372799、32271987）
北京市乡村振兴农业科技项目(NY2501010200). （NY2501010200）
