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Recent Advances in Grain Quality Monitoring
Authors: Mohammad Nadimi,
Mridula Buragohain,
Jitendra Paliwal
Identifier: CSBE23247
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Published in: CSBE-SCGAB Technical Conferences » AGM Lethbridge 2023
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Description: With the global population increasing rapidly, there is a growing need for technologies to enhance food production. Ensuring sustainability and traceability in food production has become a priority, leading researchers to explore innovative techniques for monitoring the quality of agri-food products, particularly grains, during post-harvest handling. These techniques need to be precise, non-destructive, environmentally friendly, and capable of real-time analysis. This study provides a concise overview of eight non-destructive techniques for monitoring grain quality, with a specific focus on wheat as a staple food worldwide. The discussed techniques include near-infrared spectroscopy, colour imaging, near-infrared hyperspectral imaging, mid-infrared spectroscopy, X-ray imaging, thermal imaging, acoustic sensors, and electronic nose. Each technique?s state-of-the-art advantages and challenges are thoroughly examined. In this analysis, the techniques are classified based on their commercial readiness, as some are still in the research stage while others have already been adopted by the industry. The review highlights the dynamic landscape of grain quality monitoring by shedding light on the latest developments in sensor technology and data mining. These advancements are expected to have a significant impact on grain handling facilities, including reducing losses, optimizing unit operations, decreasing energy consumption, and improving relationships between the facilities and end-users. Through an extensive review of the existing literature, untapped potential has been revealed in non-destructive techniques for enhancing the quantity and quality of grains. Overall, this literature review provides valuable insights for researchers and practitioners, empowering them to improve grain quality monitoring and minimize losses in grain handling facilities.
Keywords: Grain Quality, Non-destructive, sensor technology, data mining
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Volume:
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Date: 2023-07-23
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Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
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Type: Presentation
Format:
Publication type: Text.Abstract
Source:
Relation:
Coverage: North_America
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
DOI:
Description: With the global population increasing rapidly, there is a growing need for technologies to enhance food production. Ensuring sustainability and traceability in food production has become a priority, leading researchers to explore innovative techniques for monitoring the quality of agri-food products, particularly grains, during post-harvest handling. These techniques need to be precise, non-destructive, environmentally friendly, and capable of real-time analysis. This study provides a concise overview of eight non-destructive techniques for monitoring grain quality, with a specific focus on wheat as a staple food worldwide. The discussed techniques include near-infrared spectroscopy, colour imaging, near-infrared hyperspectral imaging, mid-infrared spectroscopy, X-ray imaging, thermal imaging, acoustic sensors, and electronic nose. Each technique?s state-of-the-art advantages and challenges are thoroughly examined. In this analysis, the techniques are classified based on their commercial readiness, as some are still in the research stage while others have already been adopted by the industry. The review highlights the dynamic landscape of grain quality monitoring by shedding light on the latest developments in sensor technology and data mining. These advancements are expected to have a significant impact on grain handling facilities, including reducing losses, optimizing unit operations, decreasing energy consumption, and improving relationships between the facilities and end-users. Through an extensive review of the existing literature, untapped potential has been revealed in non-destructive techniques for enhancing the quantity and quality of grains. Overall, this literature review provides valuable insights for researchers and practitioners, empowering them to improve grain quality monitoring and minimize losses in grain handling facilities.
Keywords: Grain Quality, Non-destructive, sensor technology, data mining
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2023-07-23
Technical field:
Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
Session name:
Other information:
Type: Presentation
Format:
Publication type: Text.Abstract
Source:
Relation:
Coverage: North_America
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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