Fruit Ripeness Classification with Few-Shot Learning-Reference-Cited by-同舟云学术

Fruit Ripeness Classification with Few-Shot Learning

Published:2022 Issue: Volume: Page:715-720
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Ng Hui-Fuang,Lo Jie-Jin,Lin Chih-Yang,Tan Hung-Khoon,Chuah Joon-Huang,Leung Kar-Hang

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8129-5_109

Reference17 articles.

1. Abdul Rahman Abdul Rahim, N.A.Z.: An overview of fruit supply chain in Malaysia. J. Mekanikal 1(37), 36–46 (2014)

2. Federal Agricultural Marketing Authority: FAMA marketing main statistic 2011, 5th edn. Ministry of Agriculture and Agro-based Industry (2011)

3. Asia Farming: Banana farming information guide. http://www.asiafarming.com/banana-farming-information-guide/. Accessed 12 Jan 2020

4. Ibrahim, N.U.A., Aziz, S. Abd., Nawi, N.M.: Novel impedance measurement technique for soluble solid content determination of banana. Pertanika J. Sci. Technol. 25(2), 519–526 (2017)

5. Mustafa, N.B.A. et. al.: Image processing of an agriculture produce: determination of size and ripeness of a banana. In: IEEE International Symposium on Information Technology 2008, vol. 1, pp. 1–7 (2008)

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