Items related to Application of Deep Learning in Spectral Analysis

Application of Deep Learning in Spectral Analysis - Softcover

Jiang, Hui; Chen, Quansheng

 
9786208223816: Application of Deep Learning in Spectral Analysis
Softcover
ISBN 10: 6208223814 ISBN 13: 9786208223816
Publisher: LAP LAMBERT Academic Publishing, 2024

Synopsis

The deep learning approach combined with spectroscopic sensing techniques has shown great potential for quality evaluation of food and agro-products. Current advances in deep learning-based qualitative analysis include variety identification, geographical origin detection, adulteration recognition, and bruise detection, whereas quantitative analysis includes multiple component content prediction for fruits, grains, and crops. The main advantage of deep learning approach is the decreasing the dependence on human domain knowledge by end-to-end analysis and the improved precision and generalizability. This book discusses the current challenges of conventional chemometric methods and the emerging deep learning approach for spectral analysis. The research on exploring the learning mechanism of the 'black box' deep learning model is discussed. This book focuses on the application of deep learning approaches on quality evaluation of food and agro-products, lessons from current studies, and future perspectives.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2024
Language
English
ISBN 10 
6208223814
ISBN 13 
9786208223816
Binding
Paperback
Number of pages
284