Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

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 …

This paper presents the development of an on-line surface defect system using
hyperspectral images for jujubes. A push-broom hyperspectral system was built for …

At present, the apple grading system usually conveys apples by a belt or rollers. This usually
leads to low hardness or expensive fruits being bruised, resulting in economic losses. In …

A quality detection system for the “Red Fuji” apple in Luochuan was designed for automatic
grading. According to the Chinese national standard, the grading principles of apple …

In existing machine vision technology for fruit defects, the hue appears different, and the
defect area is small due to the irregularity of illumination reflection from the surface incident …

A fuzzified decision tree (DT)-based computer vision system was developed in this study for
classification of common Iranian teas. Images of different tea categories, including five green …

This study addresses the underlying challenges of computer vision adoption in the Kenyan
agricultural sector and how to solve these hurdles to commercialize this technology …

The appearance quality of apples directly affects their price. To realize apple grading
automatically, it is necessary to find an effective method for detecting apple surface defects …