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The Marginal Effect and LSTM Prediction Model under the Chinese Solar Greenhouse Film

Author

Listed:
  • Weiwei Cheng

    (College of Urban and Rural Construction, Shanxi Agricultural University, Jinzhong 030801, China)

  • Yu Wang

    (College of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China)

  • Changchao Wang

    (College of Agricultural Engineering, Shanxi Agricultural University, Jinzhong 030801, China)

  • Zhonghua Liu

    (College of Urban and Rural Construction, Shanxi Agricultural University, Jinzhong 030801, China)

Abstract

The solar greenhouse is a significant agricultural facility in China. It enables the cultivation of crops during periods that do not coincide with the natural growing season, thus alleviating the pressure on the supply of fruits and vegetables during the winter months. The primary rationale behind the necessity of greenhouse cultivation lies in the fact that the temperature conditions conducive to optimal crop growth can be precisely replicated within this controlled environment. However, it is important to acknowledge that a distinct low-temperature area persists under the film during the overwintering period, with the precise delineation of its boundaries and distribution patterns remaining uncertain. In order to investigate the characteristics of the temperature distribution within the marginal region under the solar greenhouse film, experimental studies, CFD simulations, and LSTM prediction models were employed. The results of these studies indicate that, during the overwintering period, a low-temperature region was observed with approximately equal temperatures near the film membrane. The maximum horizontal distance from the south-side bottom corner was 6130 mm, while the minimum height from the ground was 600 mm. The lowest temperature in the low-temperature region was 4 °C, and the maximum observed temperature difference within the same period in different months was 1 °C. Additionally, a region of elevated temperatures was observed under the film. The lowest temperature in this region was 36.7 °C, and the highest temperature point was within the optimal range for crop growth. The CFD numerical simulation results were consistent with the actual observations, and the LSTM prediction model demonstrated high reliability. The findings of this study offer a theoretical foundation for the distribution of high and low temperatures in solar greenhouses. Furthermore, the developed prediction model provides the necessary buffer time for control, thus enhancing the efficiency of greenhouse cultivation.

Suggested Citation

  • Weiwei Cheng & Yu Wang & Changchao Wang & Zhonghua Liu, 2024. "The Marginal Effect and LSTM Prediction Model under the Chinese Solar Greenhouse Film," Agriculture, MDPI, vol. 14(7), pages 1-25, July.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1195-:d:1439275
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    References listed on IDEAS

    as
    1. Wu, Xiaoyang & Li, Yiming & Jiang, Lingling & Wang, Yang & Liu, Xingan & Li, Tianlai, 2023. "A systematic analysis of multiple structural parameters of Chinese solar greenhouse based on the thermal performance," Energy, Elsevier, vol. 273(C).
    2. Rattan Lal, 2020. "Home gardening and urban agriculture for advancing food and nutritional security in response to the COVID-19 pandemic," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 871-876, August.
    3. Mahmood, Farhat & Govindan, Rajesh & Bermak, Amine & Yang, David & Al-Ansari, Tareq, 2023. "Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment," Applied Energy, Elsevier, vol. 343(C).
    Full references (including those not matched with items on IDEAS)

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