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

Author:

Cheng Chen12ORCID,Feng Liping2,Dong Chaoyang3,Chen Xianguan4,Yang Feiyun5,Wu Lu5,Yang Jing1,Zhao Chengsen1,Yuan Guoyin1,Li Zhenfa3

Affiliation:

1. College of Ecology, Lishui University, Lishui 323000, China

2. College of Resources and Environment Sciences, China Agricultural University, Beijing 100193, China

3. Tianjin Climate Center, Tianjin 300074, China

4. College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China

5. China Meteorological Administration Training Center, Beijing 100081, China

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.

Funder

Scientific Research Project of the Tianjin Vegetable Industry Technology System Innovation Team

Science and Technology Innovation Activity Plan for College Students in Zhejiang Province

National College Student Innovation and Entrepreneurship Training Program

Talents Leading Program of One Hundred Doctors in One Hundred Enterprises in Lishui City

Lishui University Talent Launch Fund Project

Publisher

MDPI AG

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