An IOT-based Multi-sensor Ecological Shared Farmland Management System

Authors

  • Gao Guandong The National Police University for Criminal Justice
  • Jia Yuchen Hebei Agricultural University
  • Xiao Ke Hebei Agricultural University

DOI:

https://doi.org/10.3991/ijoe.v14i03.8199

Keywords:

share, multi-sensor, RFID, ZigBee, farmland

Abstract


With the wide adoption of a shared economy, the term “share” has become closely linked with people’s daily life. To improve the economic output per unit area of farmland and allow urban residents to experience the fun of cultivating, an IOT-based multi-sensor ecological shared farmland management system is presented and designed in this paper. And an agricultural economy model that remote planting and gains sharing was also presented. This system consists of multiple sensors for data collection, automatically controlled equipment, a transport module (with a ZigBee module and a WiFi module), an app-based smart monitoring and control module and a WeChat public platform. Various information, including air temperature and humidity, soil humidity, illuminance, CO2 concentration, pH, real-time video and images, is collected for users to ensure an optimal crop growing environment via remote control and by sharing agricultural product information in harvesting seasons. Functions such as picking, leasing and transferring are implemented via the WeChat public platform. Not only is detailed information on vegetables growing in rented farmland available remotely via RFID electronic tags and multiple sensors but the real-time growing state of the planted crops is also available via camera. Control of functions such as irrigating, fertilizing and shading is also supported. The test shows that in this system, the data collected via multiple sensors are accurate; real-time information is transmitted and managed smoothly.

Author Biographies

Gao Guandong, The National Police University for Criminal Justice

Department of Information Management

Jia Yuchen, Hebei Agricultural University

College of information science and technology

Xiao Ke, Hebei Agricultural University

College of information science and technology

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Published

2018-03-30

How to Cite

Guandong, G., Yuchen, J., & Ke, X. (2018). An IOT-based Multi-sensor Ecological Shared Farmland Management System. International Journal of Online and Biomedical Engineering (iJOE), 14(03), pp. 81–95. https://doi.org/10.3991/ijoe.v14i03.8199

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Section

Papers