Mango Variety and Grading Dataset

An experiment is performed on the proposed dataset for automated classification and grading of harvested mangoes to facilitate farmers in delivering high-quality mangoes on time for export, and a high accuracy is achieved using Convolutional Neural Network. Researchers and students can use this dataset to develop, test and evaluate different computer vision algorithms to contribute the improving agriculture sector.

The provided dataset can be consider as a benchmark for testing and comparing the performance of different state-of-the-arts. We would like to thank the Haji Ghulam Muhammad Mangana mango farm (Registered) Multan Pakistan for database collection and (MRI) Mango Research Institute, Multan for guidance about the standardized grading of mango.