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AMDPWE: Alphonso Mango Dataset for Precision Weight Estimation.

Akshatha Prabhu¹, N Shobha Rani¹

¹Department of Computer Science, School of Computing, Mysuru Campus, Amrita Vishwa Vidyapeetham, India.

|December 6, 2023

Summary

This summary is machine-generated.

Automatic visual inspection systems estimate Alphonso mango weight and size using image analysis. This technology aids in precise quality assessment and ensures consistency for market demand.

Keywords:

Alphonso mangoes Computer vision Mango processing Mass estimation Sustainable technology

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Area of Science:

Agricultural Engineering
Computer Vision
Horticulture

Background:

Alphonso mangoes, known as the 'king of mangoes', are a significant crop in India.
Accurate quality assessment, particularly weight and size, is crucial for market demand and consumer preference.
Traditional methods of fruit quality assessment can be time-consuming and subjective.

Purpose of the Study:

To develop and evaluate an automated visual inspection system for estimating Alphonso mango weight and size.
To integrate precision weighing mechanisms with image analysis for efficient quality assessment.
To ensure consistency in fruit size and quality for marketability.

Main Methods:

Utilized a dataset of 71 Alphonso mango images captured in a controlled environment with a resolution of 2048x1536.
Employed image analysis, computer vision, and artificial intelligence algorithms for weight estimation.
Extracted vision-based features such as area, convex area, and minor axis from two orientations of each fruit image.

Main Results:

The automated system precisely estimates fruit weight, a key quality parameter.
The system aids in ensuring consistency in fruit size across batches, influencing consumer preference.
Integration of precision weighing mechanisms offers a quick and accurate method for marketplace assessment.

Conclusions:

Automated visual inspection systems offer an intelligent intervention for objective and efficient Alphonso mango quality assessment.
The developed system has the potential to improve quality control in the mango industry.
Precision weight and size estimation are vital for meeting market demands and enhancing consumer satisfaction.