Durian farmers and exporters face significant challenges in determining the ripeness and quality of durians, which directly impacts their market value and suitability for export or domestic sale. Traditional methods of assessing durian quality, such as manual tapping and visual inspection, are labor-intensive, subjective, and often lack consistency. This can lead to inaccurate grading, resulting in financial losses and reduced client satisfaction.
To address these challenges, a specialized solution is needed to automate and standardize durian quality assessment, ensuring accurate ripeness detection and optimized distribution decisions.