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

Controlled environment agriculture (CEA) is an unconventional production system that is
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …

This paper presents the development, testing and validation of SWEEPER, a robot for
harvesting sweet pepper fruit in greenhouses. The robotic system includes a six degrees of …

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 …

Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …

Toxin-antitoxin (TA) systems are a large group of small genetic modules found in
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …

This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

Recognition and 3D positional estimation of apples during harvesting from a robotic platform
in a moving vehicle are still challenging. Fruit clusters, branches, foliage, low resolution, and …

The fully autonomous harvesting of oyster mushrooms in the greenhouse requires the
development of a reliable and robust harvesting robot. In this paper, we propose an oyster …

In view of the continuous increase in labor costs for complex picking tasks, there is an urgent
demand for intelligent harvesting robots in the global fresh fruit cultivation industry. Fruit …