Dragon fruit, known for its rich antioxidant content and low-calorie attributes, has garnered
significant attention as a health-promoting fruit. Its economic value has also surged due to …

This study proposes a novel approach for the classification of date fruits using image
processing, convolutional neural networks (CNN), and explainable artificial intelligence (AI) …

Automated fruit classification is a stimulating problem in the fruit growing and retail industrial
chain as it assists fruit growers and supermarket owners to recognize variety of fruits and the …

This research investigates Deep Convolutional Neural Networks (Deep CN-Ns) for
classifying the ripeness of mangosteen according to market segments, which can be divided …

Humans have the intrinsic ability to determine if fruit is fresh. However, there has not been
much interest in deep learning research that aims to create a fruit grading system based on …

Fruit freshness grading is an innate ability of humans. However, there was not much work
focusing on creating a fruit grading system based on digital images in deep learning. The …

The Philippine Guyabano fruit has a sweet flavor and a soft heart-shaped spine. The existing
process of evaluating and rating the quality of the fruit is done manually, using the traditional …

As technology progresses, automation is increasingly gaining importance, and one area
where it holds significant potential is fruit classification. This research endeavors to develop …

Application of artificial intelligence methods in agriculture is gaining research attention with
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …

The implementations of deep learning combined with other methods such as transfer
learning and data augmentation in oil palm fresh fruit bunch (FFB) ripeness classification …