Due to the accelerated growth of the world's population, food security and sustainable
agricultural practices have become essential. The incorporation of Artificial Intelligence (AI) …

In this chapter, we present an autonomous monitoring robot platform for agricultural farms
and fields that is built using low-cost off-the-shelf hardware and open source software so as …

Producing food in a sustainable way is becoming very challenging today due to the lack of
skilled labor, the unaffordable costs of labor when available, and the limited returns for …

Agricultural robots must navigate challenging dynamic and semi-structured environments.
Recently, environmental modelling using LiDAR-based SLAM has shown promise in …

Autonomous navigation is crucial for achieving the full automation of agricultural research
and production management using agricultural robots. In this paper, we present a vision …

To support the hypothesis that embracing robotics has the potential to address farming
challenges and, at the same time, replace large and complex farm machinery, this article …

Autonomous navigation of a robot in agricultural fields is essential for every task from crop
monitoring to weed management and fertilizer application. Many current approaches rely on …

The application of autonomous robots in agriculture is gaining increasing popularity thanks
to the high impact it may have on food security, sustainability, resource-use efficiency …

Small robots that can operate under the plant canopy can enable new possibilities in
agriculture. However, unlike larger autonomous tractors, autonomous navigation for such …

This paper describes a method of building a semantic map of a greenhouse for a robot path
planning. Existing mapping methods only consider whether there are obstacles in a certain …