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

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.

Design of an Internet of Things (IoT)-Based Photosynthetically Active Radiation (PAR) Monitoring System

“…Because of this affordable PAR sensor, researchers, farmers, agricultural industries, foresters, and environmental scientists may use more PAR sensors for plant/tree growth prediction, water uptake estimation, irrigation management, etc. Recent studies show that PAR measurement has been utilized in indoor farming [33] and irrigation scheduling [34]. Soybeans are known as photosensitive crops; the accurate prediction of the growth stages of a soybean will enable precision irrigation scheduling, which will improve crop production and irrigation water use efficiency.…”