Innovation Owner
นาง Jiraporn Sripinyowanich Jongyingcharoen
Advisor
Details
The AI-based acoustic system for durian maturity classification is designed to address inconsistencies in fruit ripeness by analyzing sound signals from tapping. This non-destructive method aims to improve harvesting accuracy and reduce post-harvest losses.
This project aims to standardize durian grading, a vital economic crop for Thailand, through the following approach: * Core Technology: Utilizes AI to analyze acoustic signals generated by tapping the durian fruit to determine its maturity level. * Key Advantages: Provides a non-destructive, rapid, and objective assessment that minimizes human error. * Target Users: Farmers, packing houses, retailers, and exporters. * Impact: Enhances decision-making for harvesting, reduces post-harvest waste, and boosts consumer confidence, aligning with national precision agriculture initiatives.
Objective
The objectives of this project are to design, develop, and evaluate the performance of an AI-based acoustic system for classifying the maturity of durian fruit.
- To design and develop an AI-based acoustic system for durian maturity classification.
- To test and evaluate the performance of the AI-based acoustic system for durian maturity classification.
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