Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …

Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …

Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …

As an important indicator reflecting plant growth and canopy structure, accurate and rapid
monitoring of the leaf area index (LAI) is very important for modern precision agriculture. The …

A large number of studies have been published addressing sugarcane management and
monitoring to increase productivity and production as well as to better understand landscape …

Abstract Unmanned Aerial Vehicle (UAV) platforms and associated sensing technologies
are extensively utilized in precision agriculture. Using LiDAR and imaging sensors mounted …

The development of biodiversity-friendly agricultural landscapes is of major importance to
meet the sustainable development challenges of our time. The emergence of unmanned …

Estimation of yield is a major challenge in the production of many agricultural crops,
including sugarcane. Mapping the spatial variability of plant height (PH) and the stalk …