Huang Yanhua, Ni Zheng, Chang Yanbin, Wang Lizhi
Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States.
Innovation Science and Engineering Lab, Bayer Crop Science, St. Louis, MO, United States.
Front Plant Sci. 2024 Oct 16;15:1385191. doi: 10.3389/fpls.2024.1385191. eCollection 2024.
This study proposed a hydroponic system with the capacity to acquire high-resolution mass data for non-destructive evaluation of water circulation in lettuce. The system customizes the watering profile, enables high-frequency weight measurement, and monitors multidimensional environment changes. Key air, water, and light parameters were collected to evaluate the plant response, susceptibility, and adaptability to environmental conditions. Multiple physiological indices were defined to characterize the properties of two lettuce varieties in response to different environmental factors.
本研究提出了一种水培系统,该系统能够获取高分辨率质量数据,用于无损评估生菜中的水循环。该系统可定制浇水模式,实现高频重量测量,并监测多维环境变化。收集关键的空气、水和光照参数,以评估植物对环境条件的反应、敏感性和适应性。定义了多个生理指标来表征两个生菜品种对不同环境因素的响应特性。