External Features-Based Approach to Date Grading and Analysis with Image Processing

The analysis and classification of dates is based on their external features: size, appearance, shape, colour. process currently performed manually after harvesting as part the post-harvesting process. Grading tedious because it usually results in time delays, product quality risks, associated with cost delays well. Although use computers information technology has seen tremendous growth many small large sectors, been its infancy cultivation fruit dates. Using image processing algorithms, we can enhance human vision capabilities through make images easier to comprehend. A major objective computer vision-based algorithms for classifying sorting procedure fully automated by minimizing manual component involved This paper presents an processing-based algorithm that uses machine learning techniques extract characteristics colour intensity homogeneity, allowing us grade a more timely manner. In order obtain results, extracted appearance date algorithm. It used validation element dates-fruit be evaluated prior selection both separate groups. study managed achieve rate 95% accuracy data classification. Doi: 10.28991/ESJ-2022-06-04-03 Full Text: PDF