In the realm of fruit quality assessment, the demand for accurate identification methods has
grown significantly. Traditional measures, such as physical and chemical analyses, prove …

This study presents a comparative analysis of classical and deep learning approaches for
the classification of apple fruit quality, within the broader context of machine vision …

Nondestructive estimation of physicochemical properties, post-harvest physiology, and level
of ripeness of fruits is essential to their automated harvesting, sorting, and handling. Recent …

In the field of agriculture and food processing, quality evaluation is a significant parameter to
increase benefits and accommodations for individual life. The presence of diseases and …

Apples, esteemed as one of the most widely cultivated and consumed fruits globally, hold a
profound significance not only in the agricultural sector but also in human health and …

Fruits & other naturally occurring plant-based products change their temporal visual
appearance & smell when separated from their parent trees. The temporal visual …

The technology driven of pineapple size and maturity grading is a useful marketing strategy
to enhance proper utilization and increase of profits. This comprehensive paper introduces …

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 …

This work researched apple quality identification and classification from real images
containing complicated disturbance information (background was similar to the surface of …

Fruit protection is critical in the agricultural industry in the context of the global economy. The
general public has recently learned that various diseases are wreaking havoc on fruit …