Literature DB >> 32247450

Emerging thermal imaging techniques for seed quality evaluation: Principles and applications.

Gamal ElMasry1, Ramadan ElGamal2, Nasser Mandour2, Pere Gou3, Salim Al-Rejaie4, Etienne Belin5, David Rousseau5.   

Abstract

Due to the massive progress occurred in the past few decades in imaging, electronics and computer science, infrared thermal imaging technique has witnessed numerous technological advancement and smart applications in non-destructive testing and quality monitoring of different agro-food produces. Thermal imaging offers a potential non-contact imaging modality for the determination of various quality traits based on the infrared radiation emitted from target foods. The technique has been moved from just an exploration method in engineering and astronomy into an effective tool in many fields for forming unambiguous images called thermograms eventuated from the temperature and thermal properties of the target objects. It depends principally on converting the invisible infrared radiation emitted by the objects into visible two-dimensional temperature data without making a direct contact with the examined objects. This method has been widely used for different applications in agriculture and food science and technology with special applications in seed quality assessment. This article provides an overview of thermal imaging theory, briefly describes the fundamentals of the system and explores the recent advances and research works conducted in quality evaluation of different sorts of seeds. The article comprehensively reviewed research efforts of using thermal imaging systems in seed applications including estimation of seed viability, detection of fungal growth and insect infections, detection of seed damage and impurities, seed classification and variety identification.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Grain; Quality; Seed; Temperature; Thermal imaging; Thermography

Year:  2020        PMID: 32247450     DOI: 10.1016/j.foodres.2020.109025

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  5 in total

Review 1.  A Method for Measuring Contact Points in Human-Object Interaction Utilizing Infrared Cameras.

Authors:  Jussi Hakala; Jukka Häkkinen
Journal:  Front Robot AI       Date:  2022-02-14

Review 2.  Progress on Infrared Imaging Technology in Animal Production: A Review.

Authors:  Shuailong Zheng; Changfan Zhou; Xunping Jiang; Jingshu Huang; Dequan Xu
Journal:  Sensors (Basel)       Date:  2022-01-18       Impact factor: 3.576

3.  Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images.

Authors:  Adam Dlesk; Karel Vach; Karel Pavelka
Journal:  Sensors (Basel)       Date:  2022-02-20       Impact factor: 3.576

4.  All-Dielectric Transreflective Angle-Insensitive Near-Infrared (NIR) Filter.

Authors:  Ayesha Shaukat; Rahila Umer; Frazer Noble; Khalid Mahmood Arif
Journal:  Nanomaterials (Basel)       Date:  2022-07-23       Impact factor: 5.719

5.  Slight crack identification of cottonseed using air-coupled ultrasound with sound to image encoding.

Authors:  Chi Zhang; Wenqian Huang; Xiaoting Liang; Xin He; Xi Tian; Liping Chen; Qingyan Wang
Journal:  Front Plant Sci       Date:  2022-09-15       Impact factor: 6.627

  5 in total

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