Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses

Cucumber (Cucumis sativus L.) and celery (Apium graveolens L.) are among the most widely cultivated vegetable crops, belonging to the melon and leafy vegetable categories, respectively. This study aims to provide predictions for the quality formation of greenhouse cucumber and celery, as well as technical support for intelligent vegetable production management. Based on the light and temperature response characteristics of cucumber and celery growth and development and using the experimental varieties ‘Jinsheng 206’ for cucumber and ‘Juventus’ for celery, the observational data from a five-cropping season trial over 2 years were utilized. By analyzing the relationship between the growth and development of vegetables and key meteorological factors (radiation and temperature), simulation models for quality formation were constructed using the day–night temperature difference method (ATD) and the product of thermal effectiveness and the photosynthetically active method (TEP) as independent variables. The model parameters were determined and the model was validated using independent trial data. The results showed the following: (1) There exist quantifiable relationships between different quality indicators and ATD or TEP. These relationships are mainly presented through linear functions, exponential functions, logarithmic function, and logical functions. (2) The normalized root mean square error (NRMSE) of the cucumber quality model ranges from 1.13% to 29.53%, and the NRMSE of the celery quality model ranges from 1.63% to 31.47%. (3) Based on two kinds of normalization methods, the average NRMSE of the VQSM model is 13.72%, demonstrating a relatively high level of accuracy in simulation. These results demonstrate that the proposed model can dynamically and accurately simulate the quality formation process of vegetables, providing a theoretical basis and data support for the research on productivity and the economic benefits of greenhouse crops.

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Publication Details

Journal
Agriculture
Published
2024-09-05
DOI
https://doi.org/10.3390/agriculture14091531
Citations
2
Primary Topic
Greenhouse Technology and Climate Control
Type
article
Field-Weighted Citation Impact
1.20

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article

Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses

Chen Cheng, Jing Yang, Guoyin Yuan, Lu Wu et al.
2 citations
Agriculture
Greenhouse Technology and Climate Control
1.20
article

Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses

Chen Cheng, Jing Yang, Guoyin Yuan, Lu Wu, Liping Feng, Chaoyang Dong, Zhenfa Li, Chengsen Zhao, Xianguan Chen, Feiyun Yang
article en
2 citations

Abstract

Cucumber (Cucumis sativus L.) and celery (Apium graveolens L.) are among the most widely cultivated vegetable crops, belonging to the melon and leafy vegetable categories, respectively. This study aims to provide predictions for the quality formation of greenhouse cucumber and celery, as well as technical support for intelligent vegetable production management. Based on the light and temperature response characteristics of cucumber and celery growth and development and using the experimental varieties ‘Jinsheng 206’ for cucumber and ‘Juventus’ for celery, the observational data from a five-cropping season trial over 2 years were utilized. By analyzing the relationship between the growth and development of vegetables and key meteorological factors (radiation and temperature), simulation models for quality formation were constructed using the day–night temperature difference method (ATD) and the product of thermal effectiveness and the photosynthetically active method (TEP) as independent variables. The model parameters were determined and the model was validated using independent trial data. The results showed the following: (1) There exist quantifiable relationships between different quality indicators and ATD or TEP. These relationships are mainly presented through linear functions, exponential functions, logarithmic function, and logical functions. (2) The normalized root mean square error (NRMSE) of the cucumber quality model ranges from 1.13% to 29.53%, and the NRMSE of the celery quality model ranges from 1.63% to 31.47%. (3) Based on two kinds of normalization methods, the average NRMSE of the VQSM model is 13.72%, demonstrating a relatively high level of accuracy in simulation. These results demonstrate that the proposed model can dynamically and accurately simulate the quality formation process of vegetables, providing a theoretical basis and data support for the research on productivity and the economic benefits of greenhouse crops.

AgricultureVol. 14(9)
China Meteorological Administration (CN), Lishui University (CN), Tianjin Meteorological Bureau (CN), China Agricultural University (CN), Fujian Agriculture and Forestry University (CN)
Lishui University
Openalex Percentile: Top 16%
Greenhouse Technology and Climate Control
1.20
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