Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

M Guo, K Wang, H Lin, L Wang… - … Reviews in Food …, 2024 - Wiley Online Library
In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

A review of image processing applications based on Raspberry-Pi

HK Kondaveeti, D Bandi, SE Mathe… - 2022 8th …, 2022 - ieeexplore.ieee.org
Raspberry-Pi is one of the most powerful and widely used electronic prototyping board in the
modern era. It works as a mini-computer in terms of speed and efficiency. It can be used in …

[HTML][HTML] A sample weight and adaboost cnn-based coarse to fine classification of fruit and vegetables at a supermarket self-checkout

K Hameed, D Chai, A Rassau - Applied Sciences, 2020 - mdpi.com
The physical features of fruit and vegetables make the task of vision-based classification of
fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket …

Tomato ripeness and shelf-life prediction system using machine learning

K Goyal, P Kumar, K Verma - Journal of Food Measurement and …, 2024 - Springer
This study proposes an ensemble approach to develop a tomato ripeness and shelf life
prediction system based on defects and color intensity. The dataset has been created by …

Machine Vision in Industry 4.0: Applications, Challenges and Future Directions

P Kumar, D Singh, J Bhamu - Machine Vision for Industry 4.0, 2022 - taylorfrancis.com
Machine vision is a comprehensive set of sophisticated technologies that develop
capabilities in machines to make them self-aware and intelligent to get the visual …

[Retracted] Research on Machine Vision System Design Based on Deep Learning Neural Network

T Sun, J Cao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
A machine vision system (MVS) is a technology that can analyze and recognize still or
moving pictures using a computer. It is a branch of computer vision that looks like a security …

A lightweight network for vehicle detection based on embedded system

H Wu, Y Hua, H Zou, G Ke - The Journal of Supercomputing, 2022 - Springer
The target detection algorithm has a high accuracy rate for the detection of general objects.
However, for specific kinds of objects, especially those with complex application scenarios …

Improving 3D reconstruction for accurate measurement of appearance characteristics in shiny fruits using post-harvest particle film: A case study on tomatoes

M Masoudi, MR Golzarian, SS Lawson… - … and Electronics in …, 2024 - Elsevier
Besides the importance of internal quality, the textural quality properties of the product have
a remarkable effect on consumer satisfaction and market price. Mainly, the three …

湖南省主栽柑橘品质及贮藏性的比较.

郭静, 金燕, 廖满余, 张芬, 李娜… - Food Research & …, 2023 - search.ebscohost.com
为综合评价湖南省柑橘主栽品种的果实品质和贮藏性, 该文从湖南省不同主产区分别采摘4
个主栽柑橘品种'宫川'温州蜜柑,'辛女'椪柑, 冰糖橙和'纽荷尔'脐橙, 分别贮藏于通风库和冷库中 …

Machine learning combined with multi-feature fusion of vision and tactile sensation for quality grade evaluation of salted sea cucumber.

X Zhu, J Kang, W Shao, Y Liu, X Zhang, J Yang… - 2022 - cabidigitallibrary.org
The results of quality grade evaluation of salted sea cucumber have a direct effect on its
economic value. It is difficult to distinguish different grades of salted sea cucumber according …