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Year | Number of Results |
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2021 | 1 |
2022 | 2 |
2023 | 1 |
2024 | 0 |
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Review of technology advances to assess rice quality traits and consumer perception.
Food Res Int. 2023 Oct;172:113105. doi: 10.1016/j.foodres.2023.113105. Epub 2023 Jun 11.
Food Res Int. 2023.
PMID: 37689840
Review.
Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning.
Aznan A, Gonzalez Viejo C, Pang A, Fuentes S.
Aznan A, et al.
Sensors (Basel). 2022 Nov 9;22(22):8655. doi: 10.3390/s22228655.
Sensors (Basel). 2022.
PMID: 36433249
Free PMC article.
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Rapid Assessment of Rice Quality Traits Using Low-Cost Digital Technologies.
Aznan A, Gonzalez Viejo C, Pang A, Fuentes S.
Aznan A, et al.
Foods. 2022 Apr 19;11(9):1181. doi: 10.3390/foods11091181.
Foods. 2022.
PMID: 35563907
Free PMC article.
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Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies.
Aznan A, Gonzalez Viejo C, Pang A, Fuentes S.
Aznan A, et al.
Sensors (Basel). 2021 Sep 23;21(19):6354. doi: 10.3390/s21196354.
Sensors (Basel). 2021.
PMID: 34640673
Free PMC article.
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