This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …

Nowadays, many image processing and machine learning (ML) methods are used in mango-
quality classification systems. Existing algorithms perform independently to capture the …

Object segmentation and recognition is an imperative area of computer vision andmachine
learning that identifies and separates individual objects within an image or video and …

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 …

Given the intricate, multifaceted nature of financial data in e-commerce enterprises, this
article presents a T-DPC algorithm for analyzing financial management in these businesses …

Researchers have been inspired to implement transformer models in solving machine vision
problems after their tremendous success with natural language tasks. Using the …

Due to its complex features and variations, dragon fruit is an exotic and aesthetically
pleasing fruit that poses a special challenge for precise and effective classification. To tackle …

It is a well-known fact that the quality of a seed highly impacts the germination of a rice seed.
The age of the seed is one of the primary key points in assessing the seed quality …

Few-shot remote sensing scene classification is one of the research topics in the field of
computer vision and few-shot learning, aiming to classify remote sensing scene through few …

The grading of mango is still a manual process in agriculture. Nowadays, mangoes are
classified based on human experience, which makes the grade not uniform for agricultural …