| Autor: |
Abdullah, A. H., Shukor, S. A., Kamis, M. S., Shakaff, A. Y. M., Zakaria, A., Rahim, N. A., Mamduh, S. M., Kamarudin, K., Saad, F. S. A., Masnan, M. J., Mustafa, H. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2017, Vol. 1808 Issue 1, p1-8, 8p, 2 Color Photographs, 2 Diagrams, 4 Charts, 2 Graphs |
| Abstrakt: |
Malodour from the poultry farms could cause air pollution and therefore potentially dangerous to humans' and animals' health. This issue also poses sustainability risk to the poultry industries due to objections from local community. The aim of this paper is to develop and calibrate a cost effective and efficient electronic nose for poultry farm air monitoring. The instrument main components include sensor chamber, array of specific sensors, microcontroller, signal conditioning circuits and wireless sensor networks. The instrument was calibrated to allow classification of different concentrations of main volatile compounds in the poultry farm malodour. The outcome of the process will also confirm the device's reliability prior to being used for poultry farm malodour assessment. The Multivariate Analysis (HCA and KNN) and Artificial Neural Network (ANN) pattern recognition technique was used to process the acquired data. The results show that the instrument is able to calibrate the samples using ANN classification model with high accuracy. The finding verifies the instrument's performance to be used as an effective poultry farm malodour monitoring. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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