Herbs have unique characteristics such as colour, texture and odour. In general, herb identification is
through organoleptic methods and is heavily dependent on botanists. It is becoming more difficult to
identify different herb species in the same family based only on their aroma . It is because of their similar
physical appearance and smell. Artificial technology, unlike humans, is thought to have the capacity to
identify different species with precision. An instrument used to identify aroma is the electronic nose.
It is used in many sector including agriculture. The electronic nose in this project was to identify the
odour of 12 species such as lauraceae, myrtaceae and zingiberaceae families. The output captured by the
electronic nose gas sensors were classified using two types of artificial intelligent techniques: Artificial
Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). From the result, ANFIS
has 94.8% accuracy compared with ANN at 91.7%.