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Perlis Harumanis Mango Mass Estimation Data
Data Science and Analytics
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About
Harumanis mango (clone MA 128) images collected from the Fruit Collection Center at FAMA Perlis, Malaysia, constitute this dataset designed for agricultural computer vision tasks. The collection features 552 images resized to an A4 paper ratio of 8:10, capturing the fruit on top of blank A4 paper to serve as a visual cue for mass estimation. Created to address the scarcity of freely available mango image datasets that include grade and mass/weight data, this resource supports the development of automated systems for fruit grading and quality assessment.
Columns
- no: The mango sample number formatted as an image filename (e.g., [a|b].jpg).
- weight: The mass of the mango measured in the International System of Units (SI) kilograms (kg).
Distribution
The dataset comprises both image data and a tabular CSV file (
Harumanis_mango_weight.csv). The tabular data contains 546 valid records with a file size of approximately 7.78 kB. The associated image collection includes 552 files. The weight distribution ranges from a minimum of 0.25 kg to a maximum of 0.70 kg, with a mean mass of approximately 0.47 kg.Usage
- Mass Estimation Models: Training regression models to estimate fruit weight based on visual features.
- Automated Grading Systems: Developing algorithms for sorting mangoes by size and weight in agricultural processing.
- Image Classification: Classifying mango varieties (specifically Harumanis) or quality grades.
- Agricultural Research: Studying morphological characteristics of the MA 128 mango clone.
Coverage
- Geographic Scope: Data collected in Perlis, Malaysia.
- Subject Scope: Harumanis Mango (clone number MA 128).
- Visual Context: All samples are captured against a blank A4 paper background.
License
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Who Can Use It
- Agricultural Technologists: For developing smart farming and automated sorting machinery.
- Data Scientists: For benchmarking regression and image processing algorithms.
- Academic Researchers: For studies involving deep learning in agriculture and food quality assurance.
Dataset Name Suggestions
- MangoMassNet-552 Harumanis Collection
- Perlis Harumanis Mango Mass Estimation Data
- MA 128 Mango Image and Weight Dataset
- Harumanis Grading and Mass Regression Set
Attributes
Original Data Source: Perlis Harumanis Mango Mass Estimation Data
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