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Analysis of Irrigation, Crop Growth and Physiological Information in Substrate Cultivation Using an Intelligent Weighing System

文献类型： 外文期刊

作者： Xu, Jiu 1 ; Zhangzhong, Lili 2 ; Lu, Peng 2 ; Wang, Yihan 2 ; Zhao, Qian 2 ; Li, Youli 2 ; Wang, Lichun 2 ;

作者机构： 1.Tianjin Agr Univ, Coll Hort & Landscape, Tianjin 300384, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Technol Res Ctr, Beijing 100097, Peoples R China

关键词： irrigation volume; evapotranspiration; stomatal conductance; plant weight variability; precision irrigation control; protected agriculture

期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 10 期

页码：

收录情况： SCI

摘要： The online dynamic collection of irrigation and plant physiological information is crucial for the precise irrigation management of nutrient solutions and efficient crop cultivation in vegetable soilless substrate cultivation facilities. In this study, an intelligent weighing system was installed in a tomato substrate cultivation greenhouse. The monitored values from the intelligent weighing system's pressure-type module were used to calculate irrigation start-stop times, frequency, volume, drainage volume, drainage rate, evapotranspiration, evapotranspiration rate, and stomatal conductance. In contrast, the monitored values of the suspension-type weighing module were used to calculate the amount of weight change in the plants, which supported the dynamic and quantitative characterization of substrate cultivation irrigation and crop growth based on an intelligent weighing system. The results showed that the monitoring curves of pressure and flow sensors based on the pressure-type module could accurately identify the irrigation start time and number of irrigations and calculate the irrigation volume, drainage volume, and drainage rate. The calculated irrigation amount was closely aligned with that determined by an integrated-water-fertilizer automatic control system (R2 = 0.923; mean absolute error (MAE) = 0.105 mL; root-mean-square error (RMSE) = 0.132 mL). Furthermore, transpiration rate and leaf stomatal conductance were obtained through inversion, and the R2, MAE, and RMSE of the extinction coefficient correction model were 0.820, 0.014 molm-2s-1, and 0.017 molm-2s-1, respectively. Compared to traditional estimation methods, the MAE and RMSE decreased by 12.5% and 15.0%, respectively. The measured values of fruit picking and leaf stripping linearly fitted with the calculated values of the suspended weighing module, and R2, MAE, and RMSE were 0.958, 0.145 g, and 0.143 g, respectively. This indicated that data collection based on the suspension-type weighing module could allow for a dynamic analysis of plant weight changes and fruit yield. In summary, the intelligent weighing system could accurately analyze irrigation information and crop growth physiological indicators under the practical application conditions of facility vegetable substrate cultivation, providing technical support for the precise management of nutrient solutions.

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