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

Q2 Agricultural and Biological Sciences Agriculture Pub Date : 2024-07-20 DOI:10.3390/agriculture14071195
Weiwei Cheng, Yu Wang, Changchao Wang, Zhonghua Liu
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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.
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中国太阳能温室薄膜下的边际效应和 LSTM 预测模型
日光温室是中国重要的农业设施。它可以在与自然生长季节不一致的时期种植农作物,从而缓解冬季水果和蔬菜供应的压力。温室栽培之所以必要,主要是因为有利于作物最佳生长的温度条件可以在这种受控环境中精确复制。然而,必须承认的是,在越冬期间,薄膜下会持续存在一个明显的低温区域,其边界的精确划分和分布模式仍不确定。为了研究日光温室薄膜下边缘区域的温度分布特征,我们采用了实验研究、CFD 模拟和 LSTM 预测模型。研究结果表明,在越冬期间,薄膜附近出现了温度大致相等的低温区域。距离南侧底角的最大水平距离为 6130 毫米,而距离地面的最小高度为 600 毫米。低温区的最低温度为 4 °C,不同月份同期观测到的最大温差为 1 °C。此外,在薄膜下还观测到一个温度较高的区域。该区域的最低温度为 36.7 °C,最高温度点在作物生长的最佳范围内。CFD 数值模拟结果与实际观测结果一致,LSTM 预测模型显示出很高的可靠性。本研究的结果为日光温室的高低温分布提供了理论依据。此外,所开发的预测模型为控制提供了必要的缓冲时间,从而提高了温室栽培的效率。
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来源期刊
Agriculture
Agriculture Agricultural and Biological Sciences-Horticulture
CiteScore
1.90
自引率
0.00%
发文量
4
审稿时长
11 weeks
期刊介绍: The Agriculture (Poľnohospodárstvo) is a peer-reviewed international journal that publishes mainly original research papers. The journal examines various aspects of research and is devoted to the publication of papers dealing with the following subjects: plant nutrition, protection, breeding, genetics and biotechnology, quality of plant products, grassland, mountain agriculture and environment, soil science and conservation, mechanization and economics of plant production and other spheres of plant science. Journal is published 4 times per year.
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