[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 …
Near infrared spectroscopy: A mature analytical technique with new perspectives–A review
C Pasquini - Analytica chimica acta, 2018 - Elsevier
Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
[HTML][HTML] Programmable black phosphorus image sensor for broadband optoelectronic edge computing
Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …
significantly reduce the communication latency and power consumption for machine vision …
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
Machine learning‐enabled smart sensor systems
Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …
the past decade have made it possible to collect, analyze, and interpret an unprecedented …
Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
N Caporaso, MB Whitworth, ID Fisk - Applied spectroscopy reviews, 2018 - Taylor & Francis
Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information
about the chemical properties of a material and their spatial distribution. It represents an …
about the chemical properties of a material and their spatial distribution. It represents an …
[HTML][HTML] 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 …
Machine vision system for food grain quality evaluation: A review
Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …
market acceptability, storage stability, processing quality, and overall consumer acceptance …
Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification
Chilling injury, as a physiological disorder in cucumbers, occurs after the fruit has been
subjected to low temperatures. It is thus desirable to detect chilling injury at early stages …
subjected to low temperatures. It is thus desirable to detect chilling injury at early stages …