Over the last decade, the use of unmanned aerial vehicles (UAVs) for plant phenoty** and
field crop monitoring has significantly evolved and expanded. These technologies have …

Food crisis is a matter of prime importance because it becomes more severe as the global
population grows. Among the solutions to this crisis, breeding is deemed one of the most …

The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height
estimates as a high-throughput plant phenoty** trait was explored. An experiment over …

Trellised fruiting-wall training systems are becoming standard for modern apple orchards
due to their high fruit yield and quality, and their suitability to robotic operations in pruning …

Precision Agriculture is a cyclic optimization process where data have to be collected from
the field, analysed and evaluated and finally used for decision making for site-specific …

Efficient monitoring of crop traits such as biomass and nitrogen uptake is essential for an
optimal application of nitrogen fertilisers. However, currently available remote sensing …

Sugarcane is a multifunctional crop mainly used for sugar and renewable bioenergy
production. Accurate and timely estimation of the sugarcane yield before harvest plays a …

Plant height (PH) is an important agronomical parameter to assess the growth status in
upland rice fields. Recently, field-based phenoty** using unmanned aerial vehicles …

Monitoring the development of vegetation height through time provides a key indicator of
crop health and overall condition. Traditional manual approaches for monitoring crop height …

3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been
shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in …