The three previous industrial revolutions profoundly transformed agriculture industry from
indigenous farming to mechanized farming and recent precision agriculture. Industrial …

The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …

Abstract Internet of Things (IoT) has been a major influence in Agriculture since its
application to the sector. This paper provides an extensive review of the use of smart …

Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

Agriculture 4.0 is transforming farming livelihoods thanks to the development and adoption
of technologies such as artificial intelligence, the Internet of Things and robotics, traditionally …

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 …

Highlights•Nowadays, robotics as machinery for planting or harvesting is solved in different
countries.•However, harvest of crops like fruits and vegetables is still manually …

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 …

In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …

Accurate apple recognition is a vital step in the operation of robotic fruit picking. To improve
robot recognition ability and perception in three-dimensional (3D) space, an automatic …