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Digvir S. Jayas

Digvir S. Jayas

D-Index & Metrics

Engineering and Technology

D-Index
77
Citations
17938
World Ranking
675
National Ranking
26

Research.com Recognitions

  • 2009 - Fellow of the Royal Society of Canada Academy of Science
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Digvir S. Jayas is affiliated with the University of Manitoba in Canada and specializes primarily in Agricultural and Biological Sciences, with a notable focus on several subfields including Plant Science, Insect Science, Nutrition and Dietetics, Food Science, and Analytical Chemistry.

Their research output spans a range of topics, with a strong emphasis on pest control and food quality. Key topics addressed in their work include:

  • Insect Pest Control Strategies
  • Insect and Pesticide Research
  • Food composition and properties
  • Insect Utilization and Effects
  • Spectroscopy and Chemometric Analyses
  • Insect Resistance and Genetics
  • Heavy Metals in Plants

Recent publications by Jayas cover diverse aspects of food science and stored product pest management. Notable papers include:

  • Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis-NIR (400-1000 nm) hyperspectral imaging, 2020, Journal of Food Science and Technology
  • Applications of X-ray micro-computed tomography and small-angle X-ray scattering techniques in food systems: A concise review, 2022, Journal of Food Engineering
  • Movement and behavioral response of stored product insects under stored grain environments - A review, 2020, Journal of Stored Products Research
  • Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review, 2023, Comprehensive Reviews in Food Science and Food Safety
  • Implications of Blending Pulse and Wheat Flours on Rheology and Quality Characteristics of Baked Goods: A Review, 2022, Foods

Jayas frequently publishes in the following venues:

  • Journal of Stored Products Research
  • Foods
  • Environmental Entomology
  • Journal of Economic Entomology
  • Comprehensive Reviews in Food Science and Food Safety

The scientist collaborates regularly with several coauthors, with notable frequent collaborators including Fuji Jian, Vimala S. K. Bharathi, Jitendra Paliwal, T. Anukiruthika, and Chithra Karunakaran.

In addition to journal articles, Jayas has contributed to book publications, including a work published in 2023 titled Image Processing: Advances in Applications and Research by Nova Publishers.

Recognition for Jayas's contributions includes being a Fellow of the Royal Society of Canada since 2009 and membership in The Canadian Academy of Engineering.

Best Publications

  • Nanotechnology for the Food and Bioprocessing Industries.

    Suresh Neethirajan;Digvir S. Jayas

  • Non-uniform Temperature Distribution During Microwave Heating of Food Materials—A Review

    R. Vadivambal;D. S. Jayas

  • Pulsed electric field processing of foods: a review.

    S. Jeyamkondan;D. S. Jayas;R. A. Holley

  • Changes in quality of microwave-treated agricultural products—a review

    R. Vadivambal;D.S. Jayas

  • Detection techniques for stored-product insects in grain

    S. Neethirajan;C. Karunakaran;D.S. Jayas;N.D.G. White

  • Applications of Thermal Imaging in Agriculture and Food Industry—A Review

    R. Vadivambal;Digvir S. Jayas

  • REVIEW OF THIN-LAYER DRYING AND WETTING EQUATIONS

    Digvir S. Jayas;Stefan Cenkowski;Stanislaw Pabis;William E. Muir

  • Carbon Dioxide (CO2) Sensors for the Agri-food Industry—A Review

    S. Neethirajan;D. S. Jayas;S. Sadistap

  • Stored-grain ecosystems.

    D. S. Jayas;N. D. G. White;W. E. Muir

  • Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging

    C.B. Singh;D.S. Jayas;J. Paliwal;N.D.G. White

  • Classification of cereal grains using machine vision: I. Morphology models.

    S. Majumdar;D. S. Jayas

  • Extraction of Spectral Information from Hyperspectral Data and Application of Hyperspectral Imaging for Food and Agricultural Products

    Lankapalli Ravikanth;Digvir S. Jayas;Noel D. G. White;Paul G. Fields

  • CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: III. TEXTURE MODELS

    S. Majumdar;D. S. Jayas

  • Modified atmosphere storage of grains meats fruits and vegetables

    D.S. Jayas;S. Jeyamkondan;S. Jeyamkondan

  • Hyperspectral imaging to classify and monitor quality of agricultural materials

    S. Mahesh;D.S. Jayas;J. Paliwal;N.D.G. White

  • Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes

    S. Mahesh;A. Manickavasagan;D.S. Jayas;J. Paliwal

  • Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging

    Chandra B. Singh;Digvir S. Jayas;Jitendra Paliwal;Noel D. G. White

  • CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: IV. COMBINED MORPHOLOGY, COLOR, AND TEXTURE MODELS

    S. Majumdar;D. S. Jayas

  • Storage and drying of grain in Canada: low cost approaches

    Digvir S. Jayas;Noel D.G. White

  • Cereal Grain and Dockage Identification using Machine Vision

    J Paliwal;N.S Visen;D.S Jayas;N.D.G White

Frequent Co-Authors

Jitendra Paliwal
Jitendra Paliwal University of Manitoba
Suresh Neethirajan
Suresh Neethirajan Dalhousie University
Shahab Sokhansanj
Shahab Sokhansanj University of British Columbia
Michael S. Freund
Michael S. Freund Dalhousie University
Richard A. Holley
Richard A. Holley University of Manitoba
Da-Wen Sun
Da-Wen Sun University College Dublin
Shahin Rafiee
Shahin Rafiee University of Tehran
Hongbin Pu
Hongbin Pu South China University of Technology
Ronald R. Marquardt
Ronald R. Marquardt University of Manitoba
Rachid Lahlali
Rachid Lahlali École Normale Supérieure

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