Publisher's Synopsis
An electronic nose is a device that is designed to mimic the sense of smell of humans and animals. It typically consists of an array of chemical sensors that are capable of detecting and analyzing the chemical composition of various substances.
In this particular case, the electronic nose is being used to classify guava, a tropical fruit, using metal oxide sensors. Metal oxide sensors are a type of chemical sensor that can detect volatile organic compounds (VOCs) and other gases by changes in electrical conductivity.
To classify guava using an electronic nose with metal oxide sensors, the device would be exposed to the aroma of guava. The sensors would detect the VOCs and other compounds that make up the aroma of the guava, and the device would use machine learning algorithms to analyze the sensor data and classify the guava according to its unique scent profile.
This technology has potential applications in the food industry, where it could be used to detect spoilage or contamination in food products. It could also be used in agriculture to monitor the ripeness of fruits and vegetables, or in healthcare to detect various diseases based on a patient's breath.
