[HTML][HTML] Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review

J Wieme, K Mollazade, I Malounas, M Zude-Sasse… - biosystems …, 2022 - Elsevier
Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

A comprehensive review of high throughput phenotyping and machine learning for plant stress phenotyping

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

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 …

Recent progress of hyperspectral imaging on quality and safety inspection of fruits and vegetables: a review

YY Pu, YZ Feng, DW Sun - … Reviews in Food Science and Food …, 2015 - Wiley Online Library
Objective quality assessment and efficacious safety surveillance for agricultural and food
products are inseparable from innovative techniques. Hyperspectral imaging (HSI), a rapid …

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 …

Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion

S Weng, P Tang, H Yuan, B Guo, S Yu, L Huang… - … Acta Part A: Molecular …, 2020 - Elsevier
The phenomena of rice adulteration and shoddy rice arise continuously in high-quality rice
and reduce the interests of producers, consumers and traders. Hyperspectral imaging (HSI) …

Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars

S Eshkabilov, A Lee, X Sun, CW Lee… - Computers and Electronics …, 2021 - Elsevier
The analyses of online quality measurements of four lettuce cultivars (Rex, Tacitus, Black
Seeded Simpson, Flandria) using hyperspectral image processing techniques have been …

Sensing technologies for precision phenotyping in vegetable crops: current status and future challenges

P Tripodi, D Massa, A Venezia, T Cardi - Agronomy, 2018 - mdpi.com
Increasing the ability to investigate plant functions and structure through non-invasive
methods with high accuracy has become a major target in plant breeding and precision …

Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data

PK Yadav, T Burks, Q Frederick, J Qin, M Kim… - Frontiers in Plant …, 2022 - frontiersin.org
Identification and segregation of citrus fruit with diseases and peel blemishes are required to
preserve market value. Previously developed machine vision approaches could only …

Intelligent detection for fresh‐cut fruit and vegetable processing: Imaging technology

T Tang, M Zhang, AS Mujumdar - Comprehensive reviews in …, 2022 - Wiley Online Library
Fresh‐cut fruits and vegetables are healthy and convenient ready‐to‐eat foods, and the final
quality is related to the raw materials and each step of the cutting unit. It is necessary to …