Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants-Reference-Cited by-同舟云学术

Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

Published:2022-06-10 Issue:4 Volume:21 Page:3717-3745
ISSN:1541-4337
Container-title:Comprehensive Reviews in Food Science and Food Safety
language:en
Short-container-title:Comp Rev Food Sci Food Safe

Author:

Soni Aswathi¹^ORCID,Dixit Yash²^ORCID,Reis Marlon M.²^ORCID,Brightwell Gale¹³^ORCID

Affiliation:

1. Food System Integrity, Consumer Food Interface AgResearch Ltd Palmerston North New Zealand

2. Food Informatics, Smart Foods AgResearch Ltd Palmerston North New Zealand

3. New Zealand Food Safety Science Research Centre Palmerston North New Zealand

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1541-4337.12983

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5. Al‐Sarayreh M. Reis M. M. Yan W. Q. &Klette R.(2019) September 3–5.A sequential CNN approach for foreign object detection in hyperspectral images[Paper presentation]. The International Conference on Computer Analysis of Images and Patterns Salerno Italy.

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