Detection of Artificially Ripen Mango Using Image Processing-Reference-Cited by-同舟云学术

Detection of Artificially Ripen Mango Using Image Processing

Published:2021 Issue: Volume: Page:759-769
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
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Author:

Rahman Md Mahbubur,Islam S. M. Taohidul,Biswas Md. Alif,Bepery Chinmay

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4087-9_61

Reference8 articles.

1. Sahu D, Potdar RM (2017) Defect identification and maturity detection of mango fruits using image analysis. Am J Artif Intel 1(1):5–14. https://doi.org/10.11648/j.ajai.20170101.12

2. Karthika R, Ragadevi KVM, Asvini N (2017) Detection of artificially rip-ened fruits using image processing. Int J Adv Sci Eng Res 2(1)

3. Prieto C, Carolina D (2014) Classification of oranges by maturity, using image processing techniques. In: Proceedings of 3rd IEEE international congress of engineering mechatronics and automation (CIIMA), pp 1–5

4. Gongal A, Amatya S, Karkee M, Zhang Q, Lewis K (2015) Sensors and systems for fruit detection and localization: a review. Comput Electron Agric 116:8–19

5. Rocha A, Hauagge DC, Wainer J, Goldenstein S (2010) Automatic fruit and vegetable classification from images. Comput Electron Agric 70(1):96–104

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1. Physiological and biochemical variations of naturally ripened mango (Mangifera Indica L.) with synthetic calcium carbide and ethylene;Scientific Reports;2024-01-24

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3. Detection of Artificially Ripened Fruits using Machine Learning;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14