testing the performance of the electronic nose for detecting anomalies. Next, we test the performance of the proposed electronic nose design-constituting (i) the choice of the sensing elements, (ii) the precision with which the transducer/device measures the response of the sensing elements, and (iii) the trained anomaly detector-for detecting anomalous gas compositions in the ripening room. We quantify the false alarm and false negative rate, broken down by class of anomaly.