A review of previous studies to automate the location of fruit on trees using computer vision
methods wasperformed. The main features of these approaches are described, paying …

采用2R-GB 色差分量, 通过Ostu 自适应阈值算法进行图像分割, 利用形态运算消除分割后随机
噪声, 并对分割区域进行标记, 利用区域面积和区域最小外接矩形长宽比参数进一步去除背景 …

While much of modern agriculture is based on mass mechanized production, advances in
sensing and manipulation technologies may facilitate precision autonomous operations that …

Highlights•An algorithm for recognising litchi under varying illumination was developed.•A
label template-based matching algorithm was proposed for unstructured …

Within the present study, a system for the automated harvest of Gerbera jamesonii pedicels
with the help of image analytic methods was developed. The study can be divided mainly …

Machine vision and image processing have been increasingly used for
agriculturalapplications especially for detection of crop status and quality, and crop …

We describe the system control architecture of a large orange harvesting robot. This robot
has two independent electrically driven telescopic arms mounted on a common platform …

Artificial vision systems are powerful tools for the automatic guiding of fruit harvesting robots,
a novel method based on chromatic aberration map and luminance map is developed to …

This paper presents the study on half of the citrus fruit image data acquired from a cold
mirror bi-camera acquisition system. The ultimate objective of this project is to extend a …