An electronic nose-based network system is developed for monitoring odours around livestock farms remotely. This network is built from compact electronic noses which are tailored to detect odour compounds and environment conditions such as temperature, wind speed, and humidity. The electronic noses are placed at various locations of interest around the farm, and the collected odour data are dissemination via a wireless network to a computer server, where the sensor fusion algorithms process and analyze the data. The developed electronic nose network system can provide farmers and researchers with more accurate odour management capabilities for more efficient operation of odour control practice by providing consistent, comprehensive, detailed, real-time data about the environment and odour profile around livestock farms. Index Terms-wireless network, electronic nose, remote monitor, livestock farm odour Leilei Pan received her B.Eng. degree in Electrical Engineering in 2001 from Sichuan University, China and M.Sc. in Engineering System and Computing in 2005 from the University of Guelph, Canada, respectively. Since September 2005, she has been a Ph.D. student in the School of Engineering at the University of Guelph, Canada. Her current research interests include fuzzy systems, neural networks, machine intelligence, mechatronics, environment monitoring, and risk analysis. Prof. Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, China in 1987, the first of two M.Sc. degrees in