Yuan S, Tang H, Fu L J, Tan J L, Govindjee G, Guo Y
Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of IoT, Jiangnan University, 214122 Wuxi, China.
Lushixin Sci. & Tec. (Wuxi) Co. Ltd., 214124 Wuxi, China.
Photosynthetica. 2022 Jan 20;60(1):79-87. doi: 10.32615/ps.2021.066. eCollection 2022.
Active control of photosynthetic activities is important in plant physiological study. Although models of plant photosynthesis have been built at different scales, they have not been fully examined for their application in plant growth control. However, we do not have an infrastructure to support such experiments since current plant growth chambers usually use fixed control protocols. In our current paper, an open IoT-based framework is proposed. This framework allows a plant scientist or agricultural engineer, through an application programming interface (API), in a desirable programming language, () to gather environmental data and plant physiological responses; () to program and execute control algorithms based on their models, and then () to implement real-time commands to control environmental factors. A plant growth chamber was developed to demonstrate the concept of the proposed open framework.
光合活动的主动控制在植物生理学研究中很重要。尽管已经建立了不同尺度的植物光合作用模型，但它们在植物生长控制中的应用尚未得到充分检验。然而，由于目前的植物生长室通常使用固定的控制协议，我们没有支持此类实验的基础设施。在我们当前的论文中，提出了一个基于物联网的开放框架。该框架允许植物科学家或农业工程师通过应用程序编程接口（API），使用理想的编程语言，（）收集环境数据和植物生理反应；（）根据他们的模型对控制算法进行编程和执行，然后（）实施实时命令以控制环境因素。开发了一个植物生长室来演示所提出的开放框架的概念。
