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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 …
[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
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 …
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 …
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 …
An extensive review on agricultural robots with a focus on their perception systems
A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …
necessary for survival in the form of food and various other products. Additionally, it serves …
Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
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 …
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 …