Annotated Datasets of Oil Palm Fruit Bunch Piles for Ripeness Grading Using Deep Learning.

ABSTRACT: The quality of palm oil is strongly influenced by the maturity level of the fruit to be processed into palm oil. Many studies have been carried out for detecting and classifying the maturity level of oil palm fruit to improve the quality with the use of computer vision. However, most of these studies use datasets in the form of images of oil palm fresh fruit bunches (FFB) with incomplete categorization according to real conditions in palm oil mills. Therefore, this study introduces a new complete dataset obtained directly from palm oil mills in the form of videos and images with different categories in accordance with the real conditions faced by the grading section of the palm oil mill. The video dataset consists of 45 videos with a single category of FFB videos and 56 videos with a colle

SUBMITTER: Suharjito 

PROVIDER: S-EPMC9899224 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature