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 …

A review of developments in the rapidly developing field of deep learning is presented.
Recommendations are made for original contributions to the literature, as opposed to …

This paper presents a novel approach to fruit detection using deep convolutional neural
networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a …

To perform robust and efficient fruit detection in orchards is challenging since there are a
number of variances in the working environments. Recently, deep-learning have shown a …

Selective weed treatment is a critical step in autonomous crop management as related to
crop health and yield. However, a key challenge is reliable and accurate weed detection to …

Abstract Development of an accurate and reliable fruit detection system is a challenging
task. There are many complex conditions in orchard environments, such as changing …

In agricultural production, the branches and leaves of green peppers are severely blocked
due to the dense plant distribution. This makes the identification of green peppers difficult …

In this letter, we present a new robotic harvester (Harvey) that can autonomously harvest
sweet pepper in protected cropping environments. Our approach combines effective vision …

The global economy is now under threat due to the ongoing domestic and international
lockdown for COVID-19. Many have already lost their jobs, and businesses have been …

In-field mango fruit sizing is useful for estimation of fruit maturation and size distribution,
informing the decision to harvest, harvest resourcing (eg, tray insert sizes), and marketing. In …