Banana disease diagnosis using computer vision and machine learning methods-Reference-Cited by-同舟云学术

Banana disease diagnosis using computer vision and machine learning methods

Published:2020-07-06 Issue:6 Volume:12 Page:6537-6556
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Athiraja A.,Vijayakumar P.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02273-8.pdf

Reference22 articles.

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2. Behera SK, Rath AK, Mahapatra A et al (2020) Identification, classification & grading of fruits using machine learning & computer intelligence: a review. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-020-01865-8

3. Butola BS, Sharma PK, Singh Y, Amin Y (2015) Arduino based supervision of banana ripening stages. In: 1st IEEE International Conference on Next Generation Computing Technologies (NGCT), doi: 10.1109/NGCT.2015.7375254.

4. Chowdhury A, Bera TK, Ghoshal D, Chakraborty B (2015) Studying the electrical impedance variations in banana ripening using electrical impedance spectroscopy (EIS). In: Proceedings of the Third IEEE International Conference on Computer, Communication, Control and Information Technology (C3IT), doi: 10.1109/C3IT.2015.7060196.

5. David Cook C, Andrew Taylor S, Rachel Meldrum A, Drenth A (2015) Potential economic impact of panama disease (tropical race 4) on the Australian Banana Industry. J Plant Dis Prot 122(5–6):229–237

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