Chicken Farm Malodour Monitoring Using Portable Electronic Nose System

Abstract

Malodour from the chicken farms is an issue that cause bitter relationships between local authorities and the public. The complaints cover the effects of malodour to the environment with a potential health threat to animals and humans. This research proposes a fundamental study of malodour mapping for the chicken farm using electronic nose (e-nose) system. The findings can be used to enable effective malodour detection, management and control. The system is also being used to monitor the malodour main chemical component i.e. ammonia, as an early indicator of the chicken health status. The malodour from the farms, temperature, humidity, wind speeds and directions are recorded. Artificial Neural Network (ANN) technique is used to predict the malodour index of each location to generate the malodour mapping of the area. Simulation results show that the system can be effectively used for malodour monitoring in the chicken farm.