MangoFruitDefect

Published: 2 January 2024| Version 1 | DOI: 10.17632/jnp9tmyrt6.1
Contributors:
, N Shobha Rani

Description

Around 1500+ Alphonso mango dataset with defects captured in controlled environment. Details in paper: Towards importance of comprehensive color features analysis using iterative golden ratio proportions for Alphonso mango ripening stage classification by adapting to natural progressive ripening method. https://www.sciencedirect.com/science/article/pii/S0889157523007470 Cite the below work if you are using datasets shared. Prabhu, A., Rani, N. S., & Nandi, C. S. (2023). Towards Importance of Comprehensive Color Features Analysis using Iterative Golden Ratio Proportions for Alphonso Mango Ripening Stage Classification by Adapting to Natural Progressive Ripening Method. Journal of Food Composition and Analysis, 105873.

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Computing

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