Abstract
A knowledge of the environmental information of different spaces of large greenhouse is a prerequisite for effective control, and multipoint monitoring is therefore needed. In view of the problems of current greenhouse environmental monitoring, a mobile greenhouse environment monitoring system was designed based on the Internet of Things. A four-layer system architecture with outstanding motion control functions was constructed that uses mobile acquisition rather than multiple sensing nodes to realize the automatic collection of greenhouse environmental information and capture pictures of the crops with low cost. In this study, a Raspberry Pi and an Arduino chip were combined for the first time in agriculture greenhouse environmental monitoring, with the former serving as the data server and the latter as the master chip for the mobile system. Firstly, the application layer server was deployed on the Raspberry Pi, secondly, due to its compact size and stable performance, Raspberry Pi and sensors etc. were all integrated into the mobile system, shortening the physical distance between the data acquisition end and the data processing end, and serial communication was used. In addition, a dedicated communication protocol with Cyclic Redundancy Check (CRC) checking was designed to reduce data loss at the transmission layer. The data was denoised using a limiting filtering algorithm and a weighted average filtering algorithm to improve quality of the data. The experimental results show that the system can effectively realize multi-point environmental monitoring of the greenhouse.
Highlights
According to Ren et al [1], with the continuous development of intelligent agriculture and precision agriculture, facility agriculture in the form of greenhouses has begun to occupy an important position in China’s agricultural sector
Ren et al [1] combined the Internet of Things (IoT) and WeChat to design and develop a greenhouse environmental monitoring and temperature prediction system that effectively realized the lightweight design of the data acquisition end
In view of the problems faced by previous agricultural wireless sensor networks, such as high energy consumption, high cost and poor transmission performance, Chen et al [9] designed a wireless sensor network that works within the China-specific 780 MHz frequency band and fully complies with the IEEE802.15.4c standard, and applied this to greenhouse environmental monitoring
Summary
According to Ren et al [1], with the continuous development of intelligent agriculture and precision agriculture, facility agriculture in the form of greenhouses has begun to occupy an important position in China’s agricultural sector. Yang et al [14] introduced WiFi wireless communication technology to design a greenhouse environment monitoring system based on agricultural IoT, which is suitable for large-area agricultural parks including multiple greenhouses. The majority of currently available greenhouse environment monitoring systems, whether based on wired or wireless transmission, need to deploy a large number of sensors, control modules or data communication modules at the perceptual layer of the IoT. These systems have several drawbacks, such as high cost, unreliability, difficulty in maintenance etc. The cost of data collecting and data processing is reduced, and the reliability of data transmission are improved
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