Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality-Reference-Cited by-同舟云学术

Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality

Published:2022-04-20 Issue: Volume: Page:1-31
ISSN:1040-8398
Container-title:Critical Reviews in Food Science and Nutrition
language:en
Short-container-title:Critical Reviews in Food Science and Nutrition

Author:

An Dong¹²³⁴,Zhang Liu¹²³⁴^ORCID,Liu Zhe⁵,Liu Jincun¹²³⁴,Wei Yaoguang¹²³⁴

Affiliation:

1. National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China

2. Key Laboratory of Smart Farming Technologies for Aquatic Animals and Livestock, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China

3. Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, China

4. College of Information and Electrical Engineering, China Agricultural University, Beijing, China

5. College of Land Science and Technology, China Agricultural University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,General Medicine,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10408398.2022.2066062

Reference139 articles.

1. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

2. Determining damage levels in wheat caused by Sunn pest (Eurygaster integriceps) using visible and near-infrared spectroscopy

3. Taking the leap between analytical chemistry and artificial intelligence: A tutorial review

4. Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

5. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging

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