[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
D Saha, A Manickavasagan - Current Research in Food Science, 2021 - Elsevier
Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …
the years. Hyperspectral imaging is one of the important non-destructive quality testing …
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review—Part I: Fundamentals
By integrating two classical optical sensing technologies of imaging and spectroscopy into
one system, hyperspectral imaging can provide both spatial and spectral information …
one system, hyperspectral imaging can provide both spatial and spectral information …
Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review
The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for
quality assessment of food products encouraged the development of non-destructive …
quality assessment of food products encouraged the development of non-destructive …
Hyperspectral imaging for seed quality and safety inspection: A review
L Feng, S Zhu, F Liu, Y He, Y Bao, C Zhang - Plant methods, 2019 - Springer
Hyperspectral imaging has attracted great attention as a non-destructive and fast method for
seed quality and safety assessment in recent years. The capability of this technique for …
seed quality and safety assessment in recent years. The capability of this technique for …
Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products
Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …
radiometric techniques. This technique observes the sample behaviour when it is exposed …
Assessment of seed quality using non-destructive measurement techniques: a review
Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …
non-destructive seed quality detection methods must therefore be developed for agriculture …
Wheat seed classification: utilizing ensemble machine learning approach
A Khatri, S Agrawal, JM Chatterjee - Scientific programming, 2022 - Wiley Online Library
Recognizing and authenticating wheat varieties is critical for quality evaluation in the grain
supply chain, particularly for methods for seed inspection. Recognition and verification of …
supply chain, particularly for methods for seed inspection. Recognition and verification of …
Hyperspectral imaging to classify and monitor quality of agricultural materials
Hyperspectral imaging has been acknowledged as an emerging technology for monitoring
quality parameters and improving grading of agricultural materials, such as field crops (eg …
quality parameters and improving grading of agricultural materials, such as field crops (eg …
Automated classification of brain images using wavelet-energy and biogeography-based optimization
It is very important to early detect abnormal brains, in order to save social and hospital
resources. The wavelet-energy was a successful feature descriptor that achieved excellent …
resources. The wavelet-energy was a successful feature descriptor that achieved excellent …
Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality–a comprehensive review
GM ElMasry, S Nakauchi - Biosystems engineering, 2016 - Elsevier
Highlights•Describing fundamental configuration and working principles of hyperspectral
systems.•The paper underscores the theoretical and practical issues of hyperspectral …
systems.•The paper underscores the theoretical and practical issues of hyperspectral …