Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

Achieving the rapid and accurate detection of apple flowers in natural environments is
essential for yield estimation and the development of an automatic flower thinner. A real-time …

Fruit loading and packaging are still labor-intensive tasks during postharvest
commercialization, of which the key issues is to realize the real-time detection and …

In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …

Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …

In order to realize on-line detection of defective apples on a two-lane fruit sorting machine,
an inspection module was constructed using NIR cameras and a diffuse illumination …

Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …

Apple grading is an essential part of the apple marketing process to achieve high profits. In
this paper, an improved YOLOv5 apple grading method is proposed to address the …

Abstract Contemporary Artificial Intelligence technologies allow for the employment of
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …