Application of an expert system of X‐ ray micro computed tomography imaging for identification of Sitophilus oryzae infestation in stored rice grains-Reference-Cited by-同舟云学术

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Application of an expert system of X‐ ray micro computed tomography imaging for identification of Sitophilus oryzae infestation in stored rice grains

Published:2019-10-03 Issue:3 Volume:76 Page:952-960
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Manag Sci

Author:

Srivastava Shubhangi¹^ORCID,Mishra Gayatri¹^ORCID,Mishra Hari N¹

Affiliation:

1. Agricultural and Food Engineering DepartmentIndian Institute of Technology Kharagpur India

Funder

Ministry of Human Resource Development

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.5603

Reference35 articles.

1. Improving quality inspection of food products by computer vision––a review

2. Application of Image Texture Analysis for Evaluation of X-Ray Images of Fungal-Infected Maize Kernels

3. Recent developments and applications of image features for food quality evaluation and inspection – a review

4. Recent developments in the applications of image processing techniques for food quality evaluation

5. Discrimination of crumb grain visual appearance of organic and non-organic bread loaves by image texture analysis

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1. Applications of Computed Tomography (CT) in environmental soil and plant sciences;Soil and Tillage Research;2023-02

2. Advances in Environmentally Friendly Techniques and Circular Economy Approaches for Insect Infestation Management in Stored Rice Grains;Foods;2023-01-22

3. Current progress on innovative pest detection techniques for stored cereal grains and thereof powders;Food Chemistry;2022-12

4. Expeditious detection of Fusarium graminearum infection in rice by FTNIR using hierarchical cluster analysis;Food Chemistry Advances;2022-10

5. Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique;Chemometrics and Intelligent Laboratory Systems;2022-02

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