Author(s)

Kele Xu, Yanrong Liu

Corresponding Author

Kele Xu

Abstract

The growth of traditional crops relies mainly on fertilization, variety improvement and mechanized planting to increase production. Crop yield and fruit quality of crops are difficult to guarantee in the face of declining soil fertility and deteriorating environment. The direction of modern crop development is to develop a smart crop model, and to achieve efficient management and sustainable development of crops through precise sensing technology and in-depth intelligent technology. Smart agriculture based on Internet of Things and data mining has obvious effects on improving traditional crop planting patterns, and is an ideal model for efficient management of crops. The Internet of Things monitoring system combines a variety of wireless sensors, robots and drones to collect real-time growth data of crops in a timely manner, enabling visualization and online monitoring and management of crop growth environments. Therefore, this study is aimed at the problem of inaccurate collection of growth environment parameters of crops in greenhouses during the growth process of crops, and designed a greenhouse greenhouse intelligent monitoring system based on Internet of Things. This study used Internet network to realize human-computer communication interaction, and monitored the soil temperature and humidity, air temperature and humidity, and CO2 concentration in the greenhouse to complete the monitoring of the on-site crop growth environment. It was also accurate irrigation of crops to achieve precise collection of labour, environmental parameters for crop growth, and remote control of irrigation equipment. The experimental results of the system showed that the system is stable and has good robustness and can achieve the expected design goals.

Keywords

The Growing Environment of Crops; Online Monitoring;