The rapid development of uncrewed aerial vehicles (UAVs) has significantly increased their
usefulness in various fields, particularly in remote sensing. This paper provides a …

The integration of unmanned aerial vehicles (UAVs) with artificial intelligence (AI) and
machine learning (ML) has fundamentally transformed precision agriculture by enhancing …

This article presents a combined route and path planning strategy to guide Skid–Steer
Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with …

This work proposes a Learning by Demonstration framework based on Dynamic Movement
Primitives (DMPs) that could be effectively adopted to plan complex activities in robotics …

This paper introduces a quantitative methodology for assessing drone pilot performance,
aiming to reduce drone-related incidents by understanding the human factors influencing …

With the global population growth and increasing food demand, the development of
precision agriculture has become particularly critical. In precision agriculture, accurately …

This study presents a new path-planning framework for precision agriculture, designed for
hedgerow systems, which combines cutting-edge technology and data analysis to enhance …

Path planning is one of the key elements for achieving rapid and stable flight when
unmanned aerial vehicles (UAVs) are conducting monitoring and inspection tasks at ultra …

Unmanned aerial vehicles (UAVs) have made significant advances in autonomous sensing,
particularly in the field of precision agriculture. Effective path planning is critical for …

Dynamic Motion Primitives (DMPs) only address the generalization problem for target
positions that are close to the demonstration position and in order to enhance the …