数字农科院2.0

Exploring the application mode of artificial light sources in solar greenhouses based on functional-structural plant model

文献类型： 外文期刊

作者： Demin Xu;Xinguang Zhang;Michael Henke;Liang Wang;Jinyu Zhu;Fang Ji;Yuntao Ma

作者机构：

关键词： 3D modeling;LED simulation;Micro-light environment;Precision control;Solar greenhouse

期刊名称： Computers and Electronics in Agriculture

ISSN： 0168-1699

年卷期： 2026 年 244 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Light is essential for photosynthesis and directly influences crop yield. During winter and spring, limited natural light makes well-managed supplemental lighting crucial for greenhouse production. Traditional lighting design methods, which rely on manual measurements, are inefficient for optimizing light distribution and energy use. This study proposes a 3D simulation framework to optimize supplemental lighting in greenhouses. The virtual model incorporates the spectral power distribution (SPD) and propagation characteristics of light-emitting diode (LED) modules, the optical properties of greenhouse materials, and the greenhouse's geometric structure to simulate artificial light environments. Validation of the model demonstrated high accuracy, with an R2 of 0.982 and a RMSE of 14.38 μmol·m−2·s−1. Based on simulation outputs, the spatial layout of supplemental lighting modules was determined, and the hourly light integral (HLI) was used as a control variable to develop a time-segmented lighting strategy. For this study, the production performance of tomato was evaluated under four lighting treatments: HLI-driven fixed supplementary lighting (HFS), HLI-driven mobile supplementary lighting (HMS), nighttime timed supplementary lighting (TS), and only natural light (CK). The optimal lighting configuration was achieved when fixtures were positioned 1.7 m above the planting troughs. Tomato yield per plant under the HFS treatment increased by 25.2% compared to CK and by 21.6% compared to TS. While HMS showed higher energy-use efficiency and quantum yield, its yield improvement was relatively modest. Overall, HFS enhanced light energy-use efficiency and quantum yield by 5.5% and 55.3%, respectively, compared to TS. This study provides a practical decision-support tool for greenhouse lighting management, enabling data-driven optimization of light distribution and energy use. The proposed 3D modeling framework not only improves light-thermal synergy but also offers strong scalability for different greenhouse structures and crops. By integrating physical modeling and intelligent control, it contributes to the development of sustainable and smart agricultural production systems.

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