Repository logoRepository logoRepository logoRepository logo
Repository logoRepository logoRepository logoRepository logo
  • Communities & Collections
  • Research Outputs
  • Employees
  • AAAHigh contrastHigh contrast
    EN PL
    • Log In
      Have you forgotten your password?
AAAHigh contrastHigh contrast
EN PL
  • Log In
    Have you forgotten your password?
  1. Home
  2. Bibliografia UPP
  3. Bibliografia UPP
  4. The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques
 
Full item page
Options

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Type
Journal article
Language
English
Date issued
2023
Author
Danielak, Marek
Przybył, Krzysztof 
Koszela, Krzysztof 
Faculty
Wydział Nauk o Żywności i Żywieniu
Wydział Inżynierii Środowiska i Inżynierii Mechanicznej
Journal
Sensors
DOI
10.3390/s23041787
Web address
https://www.mdpi.com/1424-8220/23/4/1787
Volume
23
Number
4
Pages from-to
art. 1787
Abstract (EN)
This article describes chemical and physical parameters, including their role in the storage, trade, and processing of potatoes, as well as their nutritional properties and health benefits resulting from their consumption. An analysis of the share of losses occurring during the production process is presented. The methods and applications used in recent years to estimate the physical and chemical parameters of potatoes during their storage and processing, which determine the quality of potatoes, are presented. The potential of the technologies used to classify the quality of potatoes, mechanical and ultrasonic, and image processing and analysis using vision systems, as well as their use in applications with artificial intelligence, are discussed.
Keywords (EN)
  • potato

  • tuber

  • quality assessment

  • sorting machines

  • grading

  • ultrasound

  • neural networks

  • machine vision

  • nondestructive method

  • noninvasive method

License
cc-bycc-by CC-BY - Attribution
Open access date
February 5, 2023
Fundusze Europejskie
  • About repository
  • Contact
  • Privacy policy
  • Cookies

Copyright 2025 Uniwersytet Przyrodniczy w Poznaniu

DSpace Software provided by PCG Academia