Real-Time Monitoring of Environmental Parameters in a Commercial Gestating Sow House Using a ZigBee-Based Wireless Sensor Network
| Autor: | Hamza Elkhouchlaa, Qiaodong Yu, Xiaoteng Han, Enli Lü, Zeng Zhixiong, Fanguo Zeng |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Intelligent decision animal diseases Microclimate Packet loss rate Agricultural engineering 01 natural sciences lcsh:Technology pig house lcsh:Chemistry ZigBee wireless sensor network Environmental monitoring General Materials Science Instrumentation lcsh:QH301-705.5 Intelligent management environmental monitoring Fluid Flow and Transfer Processes business.industry lcsh:T Process Chemistry and Technology 010401 analytical chemistry General Engineering lcsh:QC1-999 0104 chemical sciences Computer Science Applications Livestock farming lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Environmental science Livestock business lcsh:Engineering (General). Civil engineering (General) Wireless sensor network lcsh:Physics 010606 plant biology & botany |
| Zdroj: | Applied Sciences, Vol 11, Iss 972, p 972 (2021) Applied Sciences Volume 11 Issue 3 |
| ISSN: | 2076-3417 |
| Popis: | Significant intensification in livestock farming has become prevalent to meet the increasing meat production demand, resulting in a higher density of pigs in relatively small areas in a commercial swine building. The subsequent challenges of maintaining the quality of both routine management and environmental comfort of pigs to minimize the loss of both pigs&rsquo health and welfare can be attained by implementing autonomous monitoring and intelligent management decisions based on precision livestock farming (PLF). A three-layer wireless sensor network (WSN) based on ZigBee technology has been devised to monitor four environmental parameters in real-time, namely: temperature, relative humidity, concentrations of carbon dioxide and ammonia in a commercial gestating sow house. The overall packet loss rate of the WSN system which reported 16,371 records from its 41 indoor slave nodes in a 10-min interval for three consecutive days was 4%. The carbon dioxide sensors had an average outlier rate of 6.5% after a series of preprocessing procedures. The spatial and temporal characteristics showed that the carbon dioxide level exceeded the limit of 2700 mg/m3 twice during both 07:00&ndash 08:00 and 14:00&ndash 15:00. Besides, the overall NH3 concentration in the swine building was maintained in a relatively low-level range with a maximum of less than 8 mg/m3. In sum, the real-time monitoring and timely intervention of microclimate in this commercial gestating sow house can be achieved by deploying this WSN system, thereby making it possible to provide an intelligent decision on precise management of livestock automatically. |
| Databáze: | OpenAIRE |
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