Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 5 von 43

Details

Autor(en) / Beteiligte
Titel
Comparison of X-ray computed tomography and magnetic resonance imaging to detect pest-infested fruits: A pilot study
Ist Teil von
  • Nuclear Engineering and Technology, 2022, 54(2), , pp.514-522
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2022
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Non-destructive testing (NDT) technology is a widely used inspection method for agricultural products. Compared with the conventional inspection method, there is no extensive sample preparation for NDT technology, and the sample is not damaged. In particular, NDT technology is used to inspect the internal structure of agricultural products infested by pests. The introduction and spread of pests during the import and export process can cause significant damage to the agricultural environment. Until now, pest detection in agricultural products and quarantine processes have been challenging because they used external inspection methods. However, NDT technology is advantageous in these inspection situations. In this pilot study, we investigated the feasibility of X-ray computed tomography (X-ray CT) and magnetic resonance imaging (MRI) to identify pest infestation in agricultural products. Three kinds of artificially pest-infested fruits (mango, tangerine, and chestnut) were non-destructively inspected using X-ray CT and MRI. X-ray CT was able to identify all pest infestations in fruits, while MRI could not detect the pest-infested chestnut. In addition, X-ray CT was superior to the quarantine process than MRI based on the contrast-to-noise ratio (CNR), image acquisition time, and cost. Therefore, X-ray CT is more appropriate for the pest quarantine process of fruits than MRI.
Sprache
Englisch
Identifikatoren
ISSN: 1738-5733
eISSN: 2234-358X
DOI: 10.1016/j.net.2021.07.015
Titel-ID: cdi_nrf_kci_oai_kci_go_kr_ARTI_9928464

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX