[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 …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in …, 2021‏ - Wiley Online Library
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms

X **, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020‏ - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches

JM Bioucas-Dias, A Plaza, N Dobigeon… - IEEE journal of …, 2012‏ - ieeexplore.ieee.org
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous
field view in hundreds or thousands of spectral channels with higher spectral resolution than …

A review of advanced techniques for detecting plant diseases

S Sankaran, A Mishra, R Ehsani, C Davis - Computers and electronics in …, 2010‏ - Elsevier
Diseases in plants cause major production and economic losses in agricultural industry
worldwide. Monitoring of health and detection of diseases in plants and trees is critical for …

Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review

G Elmasry, M Kamruzzaman, DW Sun… - Critical reviews in food …, 2012‏ - Taylor & Francis
The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for
quality assessment of food products encouraged the development of non-destructive …

[کتاب][B] Computer and machine vision: theory, algorithms, practicalities

ER Davies - 2012‏ - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

Recent developments in hyperspectral imaging for assessment of food quality and safety

H Huang, L Liu, MO Ngadi - Sensors, 2014‏ - mdpi.com
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly
gaining ground as a non-destructive, real-time detection tool for food quality and safety …

Application of machine vision systems in aquaculture with emphasis on fish: state‐of‐the‐art and key issues

M Saberioon, A Gholizadeh, P Cisar… - Reviews in …, 2017‏ - Wiley Online Library
Demands of aquatic products are increasing dramatically during past decades. Also quality
assurance has gradually received more attention by both producers and consumers. Thus …

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 …