Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data

Application of Deep Learning Architectures for Accurate and Rapid Detection of Internal Mechanical Damage of Blueberry Using Hyperspectral Transmittance Data

Deep learning has become a widely used powerful tool in many research fields, although not much so yet in agriculture technologies. In this work, two deep convolutional neural networks (CNN), viz. Residual Network (ResNet) and its improved version named ResNeXt, are used to detect internal mechanica...

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Bibliographic Details
Main Authors: Zhaodi Wang, Menghan Hu, Guangtao Zhai
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
convolutional neural networks
hyperspectral transmittance image
internal mechanical damage detection
fruit quality detection
machine learning
Online Access:http://www.mdpi.com/1424-8220/18/4/1126

Internet

http://www.mdpi.com/1424-8220/18/4/1126

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