Paper Title
Classification Of Odor Profile Ammonia In Fertilizer

this study is about the intelligent odor-profile classification of ammonia in fertilizer by using electronic nose (E- nose) couple with Case Based Reasoning (CBR). Excessive of ammonia concentration will gives a bad impact to environment especially the marine life in water. Thus, controlling and supervising the concentration of ammonia is crucial in order to maintain environment quality. However, the availability of instrument that can directly detect the presence of ammonia in without the sample be treated is limited. Hence, this study used E- nose to produce unique profile of an ammonia odor then the features be further analyzed by using intelligent classification cased-based reasoning technique. The percentage accuracy of using CBR in classifying ammonia odor approach 100%. Index Terms- Ammonia, Classification, Cased-Based Reasoning, E-Nose.