Cantaloupe Ripeness Detection Using Electronic Nose
John Patrick O. Gabriel, Mary Kris R. Cabunilas, Jocelyn F. Villaverde
Abstract
Cantaloupe has been widely served as a delicacy food to be enjoyed, while it provides essential proteins a fruit usually provides for the human body. However, cantaloupe is one kind of fruit that can have different states mainly unripe, ripe, or overripe while having its physical looks retained. The objective of this paper is to determine the current status of the fruit without the need of breaking open the fruit with the help of the MQ3 sensor. As the fruit generates ethanol, the odor that comes from it can be used as a source of information to determine its ripeness. Using the MQ3 sensor, Arduino, and Fuzzy Logic with Mathlab, the researchers will attempt to determine the fruit’s ripeness without having to break open the fruit. It has been observed that the cantaloupe releases enough ethanol to be detected by the electronic nose. It can be confirmed that the cantaloupe, given enough time, can have its ripeness detected by the MQ3 sensor.