Feasibility of detection of infested rice using an electronic nose-Reference-Cited by-同舟云学术

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Feasibility of detection of infested rice using an electronic nose

Published:2021-05 Issue: Volume:92 Page:101805
ISSN:0022-474X
Container-title:Journal of Stored Products Research
language:en
Short-container-title:Journal of Stored Products Research

Author:

Zhou Molin,Khir Ragab,Pan Zhongli,Campbell James F.,Mutters Randall,Hu Zhuoyan

Funder

California Rice Research Board

Publisher

Elsevier BV

Subject

Horticulture,Insect Science,Agronomy and Crop Science,Food Science

Reference19 articles.

1. Identifying stored-grain insects using near-infrared spectroscopy;Dowell;J. Econ. Entomol.,1999

2. Detecting stink bugs/damage in cotton utilizing a portable electronic nose;Henderson;Comput. Electron. Agric.,2010

3. Detection of insect infestation in museum objects by carbon dioxide measurement using FTIR;Koestler;Int. Biodeterior. Biodegrad.,2000

4. Discrimination of plant volatile signatures by an electronic nose: a potential technology for plant pest and disease monitoring;Laothawornkitkul;Environ. Sci. Technol.,2008

5. Volatiles as an indicator of fungal activity and differentiation between species, and the potential use of electronic nose technology for early detection of grain spoilage;Magan;J. Stored Prod. Res.,2000

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of the quality for rice with different storage humidity: An electronic nose combined with multiblock feature integration method;Measurement;2024-09

2. Distinguishing between Wheat Grains Infested by Four Fusarium Species by Measuring with a Low-Cost Electronic Nose;Sensors;2024-07-02

3. HCBiL-DMN: an effective food infestation detection from stored food grains using deep learning model;Multimedia Tools and Applications;2024-06-14

4. Identifying the authenticity and geographical origin of rice by analyzing hyperspectral images using unsupervised clustering algorithms;Journal of Food Composition and Analysis;2024-01

5. A rapid pesticide detection approach in food forensics using hyphenated technology of TLC-electronic nose;Food and Humanity;2023-12

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