Development of a Remote Monitoring System for Henhouse Environment Based on IoT Technology

Hua Li, Huan Wang, Wenqing Yin, Yongwei Li, Yan Qian and Fei Hu
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Hua Li: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Huan Wang: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Wenqing Yin: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Yongwei Li: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Yan Qian: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Fei Hu: Jiangsu Key Laboratory of Intelligent Agricultural Equipment, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Future Internet, 2015, vol. 7, issue 3, 1-13

Abstract: To monitor multiple environmental factors of henhouses in modern chicken farms, a henhouse online monitoring system based on wireless sensor network was developed using wireless sensor technology and computer network technology. Sensor data compensation and correction were designed to be achieved using software and data fitting methods, data reliable transmission achieved using a data loss recovery strategy, and data missing during monitoring addressed using a self-decision and online filling method. Operation test of the system showed that: The system was economic and reliable; it enabled wireless monitoring and Web display of the environmental factors of a henhouse; and the root mean square errors (RMSEs) between the estimated values from the self-decision and on-line filling method and experimental values of the four environmental factors were 0.1698, 3.0859, 77 and 0.094, respectively, indicative of high estimation accuracy. The system can provide support for modern management of henhouses and can be transplanted to related monitoring scenarios in the agricultural field.

Keywords: henhouse environmental parameter; IoT technology; remote monitoring; loss recovery (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2015
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