2026-10-13T18:21:02Z https://data.mendeley.com/oai

oai:data.mendeley.com/bz65dz2pbj.1 2024-11-18T12:04:06Z

Mojumdar, Mayen Uddin A Dataset of Common Asian Fruits for Quality Grading and Biodiversity Research Mendeley Data 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). Fruit Agriculture Mamun, Md Al Islam, Shahrin Hasan, Rifat Dataset doi:10.17632/bz65dz2pbj.1 oai:data.mendeley.com/bz65dz2pbj.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/bz65dz2pbj 2024-11-18T12:04:06Z