The development of variable system-based internet of things for the solar greenhouse and its application in lettuce

Front Plant Sci. 2024 Jan 29:15:1292719. doi: 10.3389/fpls.2024.1292719. eCollection 2024.

Abstract

The east-west ridge orientation has recently become an important agronomic method to improve mechanization in solar greenhouses. However, these ridge orientation changes shape differences between different ridges in crop water consumption, and there is a lack of research on the regulation and adaptation of water consumption. Therefore, this study introduces a variable irrigation decision-making method based on the Internet of Things management and control system for an east-west ridge orientation. To replenish water on demand, this study seting the variable irrigation decision-making (VRI) methods and traditional average irrigation decision-making (URI) methods in the system, and lettuce cultivation experiments were conducted to verify the effectiveness of the model and system. The results show that the difference of accumulated photosynthetically active radiation is the most significant between different ridges of the east-west ridge orientation, and the coefficient of variation is 43.77 %, which can be used as an activating factor for VRI methods. The irrigation water consumption, yield, water-use efficiencies, and irrigation water utilization of lettuce at different levels of irrigation were 307.12 L/m2, 5854.07 kg·ha-1, 1391.47 kg·ha-1·mm-1, and 7.63 kg·cm-3, respectively. Compared with the URI methods, the VRI method saved 10.02 % of water, increased yield by 9 %, and enhanced water use efficiency and irrigation water use efficiency by 12 % and 21.32 %, respectively. This study provides a new approach for improving crop production efficiency under an east-west ridge orientation.

Keywords: east-west ridge orientation; internet of things (IoT); solar greenhouse; variable irrigation; water management.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The first funded national key research and development program 2022YFD1900803. The second grant for key technology integration research of smart agriculture is 202302AE090020. The third Beijing Academy of Agriculture and Forestry Sciences Outstanding Youth Science Fund YXQN20230. The fourth Beijing Academy of Agriculture and Forestry Science, major achievements in cultivation support reference. The fifth Sponsored by Beijing Nova Program20230484375.