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 language | English |
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Title of host publication | 2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Publication date | 7 Jun 2021 |
Article number | 9486576 |
ISBN (Print) | 978-1-6654-2996-2 |
ISBN (Electronic) | 978-1-6654-1970-3 |
DOIs | |
Publication status | Published - 7 Jun 2021 |
Event | 2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021 - Detroit, United States Duration: 7 Jun 2021 → 9 Jun 2021 |
Conference
Conference | 2021 IEEE International Conference on Prognostics and Health Management, ICPHM 2021 |
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Country/Territory | United States |
City | Detroit |
Period | 07/06/2021 → 09/06/2021 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Anomaly detection
- IoT
- Smart agricultural
- STM32