A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things

Shaowei Chen, Fangda Xu, Shengyue Wang, Yanping Huang, Pengfei Wen, Dengshan Huang, Shuai Zhao

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

The Internet of Things technology has greatly improved productivity, including agricultural production. In this paper, a smart agricultural monitoring system is constructed, and the Internet of Things technology is applied to improve agricultural production. First of all, the system uses monitoring sensors to collect data through the data collection network, so as to realize the real-time perception of soil condition and other environments needed by crop growth. Then, the collected information is fused on the data level, and the automatic control system is used to realize the on-off control of ventilation, irrigation, and supplementary light. Besides, we will also adopt the anomaly detection system to improve the reliability of the equipment. As a result, the degree of automaticity, remoteness, and refinement of the agricultural production is enhanced based on the accurate on-line monitoring realized by the proposed system.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Publication date7 Jun 2021
Article number9486576
ISBN (Print)978-1-6654-2996-2
ISBN (Electronic)978-1-6654-1970-3
DOIs
Publication statusPublished - 7 Jun 2021
Event2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021 - Detroit, United States
Duration: 7 Jun 20219 Jun 2021

Conference

Conference2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021
Country/TerritoryUnited States
CityDetroit
Period07/06/202109/06/2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Anomaly detection
  • IoT
  • Smart agricultural
  • STM32

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