A Dataset of Common Asian Fruits for Quality Grading and Biodiversity Research

Published: 18 November 2024| Version 1 | DOI: 10.17632/bz65dz2pbj.1
Contributors:
Mayen Uddin Mojumdar,
,
,

Description

Description: "A Dataset of Common Asian Fruits for Quality Grading and Biodiversity Research" is a comprehensive dataset designed to facilitate advanced research in fruit quality assessment and biodiversity analysis. This dataset includes 3167 samples across six popular Asian fruit types: apple, banana, Burmese grape, mango, papaya, and tomato. Each fruit sample is categorized into three quality grades: good, medium, and bad. This structured categorization enables precise quality grading, providing a valuable reference for understanding the different quality standards for these fruits. Purpose of the Dataset: Support for Research and Development: Facilitates studies in quality grading and biodiversity analysis. Machine Learning Applications: Provides a well-labeled collection to aid in creating and testing algorithms for automated fruit grading. Biodiversity Insights: Enables the study of variations and characteristics across different Asian fruit species. Agricultural Improvement: Assists in enhancing agricultural practices through better quality assessment. Food Quality Control: Contributes to advancing food quality control systems by offering consistent quality grading data. Biodiversity Knowledge: Helps researchers and practitioners gain insights into fruit biodiversity. Data Collection Location: Local markets throughout Bangladesh, including Karwan Bazar (Tejgon, Dhaka-1225), Park Bajar (Tangail Sadar, Tangail-1900), Santos Bazar (University Road, Tangail-1902), and Jatrabari Bazar (Dhaka-1232).

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Institutions

Daffodil International University

Categories

Fruit, Agriculture

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