Abstract In recent years, Light Detection and Ranging (LiDAR) technology has been one of
the most innovative subjects in laser scanning, remote sensing, and object detection …

Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Fruit detection and localization will be essential for future agronomic management of fruit
crops, with applications in yield prediction, yield mapping and automated harvesting. RGB-D …

Crop sensing technologies to aid nitrogen management in grain crops have been the focus
of an important element of Precision/Digital Agriculture research. We review sensor-based …

Highlights•Autonomous ground and aerial vehicles can lead to improve agriculture
management.•A collaborative scheme based on a multi-phase approach is …

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 …

Yield monitoring and geometric characterization of crops provide information about orchard
variability and vigor, enabling the farmer to make faster and better decisions in tasks such as …

The implementation of breeding methods requires the creation of a large and genetically
diverse training population. Large-scale experiments are needed for the rapid acquisition of …

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 …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …