Integrated Fruit Ripeness Assessment System Based on an Artificial Olfactory Sensor and Deep Learning

Integrated Fruit Ripeness Assessment System Based on an Artificial Olfactory Sensor and Deep Learning

Artificial scent screening systems, inspired by the mammalian olfactory system, hold promise for fruit ripeness detection, but their commercialization is limited by low sensitivity or pattern recognition inaccuracy. This study presents a portable fruit ripeness prediction system based on colorimetri...

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Bibliographic Details
Main Authors: Mingming Zhao, Zhiheng You, Huayun Chen, Xiao Wang, Yibin Ying, Yixian Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Foods
Subjects:
volatile organic compounds
fruit ripeness detection
artificial olfactory sensor
colorimetric sensing combinatorics
deep convolutional neural networks
Online Access:https://www.mdpi.com/2304-8158/13/5/793

Internet

https://www.mdpi.com/2304-8158/13/5/793

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