Research and development of autonomous mobile robotic solutions that can perform
several active agricultural tasks (pruning, harvesting, mowing) have been growing. Robots …

Manual assessments of plant phenotypes in the field can be labor-intensive and inefficient.
The high-throughput field phenotyping systems and in particular robotic systems play an …

Abstract Large-scale, high-accuracy, and adaptive three-dimensional (3D) perception are
the basic technical requirements for constructing a practical and stable fruit-picking robot …

Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …

This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

The agriculture industry is in need of substantially increasing crop yield to meet growing
global demand. Selective breeding programs can accelerate crop improvement but …

This research aims to develop a farm management emulation tool that enables agrifood
producers to effectively introduce advanced digital technologies, like intelligent and …

In this research, we proposed a stereo visual simultaneous localisation and mapping
(SLAM) system that efficiently works in agricultural scenarios without compromising the …

Research efforts for development of agricultural robots that can effectively perform tedious
field tasks have grown significantly in the past decade. Agricultural robots are complex …

Automated in-field data gathering is essential for crop monitoring and management and for
precision farming treatments. To this end, consumer-grade digital cameras have been …