The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

Highlights•The role of Internet of Things in arable farming is reviewed.•Internet of Things is
leading arable farming to become data-driven.•Implementation and application are …

The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

This article describes a Voronoi-based path generation (VPG) algorithm for an energy-
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …

The problem of determining a collision free path within a region is an important area of
research in robotics. One significant aspect of this problem is coverage path planning, which …

This paper presents a multi-objective coverage flight path planning algorithm that finds
minimum length, collision-free, and flyable paths for unmanned aerial vehicles (UAV) in …

Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been
broadly utilized in various agricultural fields, such as crop management, crop monitoring …

Highlights•A complete coverage path planner for a fully autonomous tractor was
designed.•The planner automatically provides inner and outer-work paths in polygonal …

Path planning is one of the crucial problems of multi-machine cooperative navigation. In the
context of regional farmland operation, multiple agricultural machines often need to …

Highlights•The optimisation of agricultural routing planning can improve field operation.•The
collection of field data from previous studies is valuable as datasets.•A new hybrid algorithm …