Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits
associated with fast, automatic, and contactless spatial data collection with high resolution …

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

In recent years, grassland monitoring has shifted from traditional field surveys to remote-
sensing-based methods, but the desired level of accuracy has not yet been obtained. Multi …

In the context of Industry 4.0, one of the most significant challenges is enhancing efficiency
in sectors like agriculture by using intelligent sensors and advanced computing. Specifically …

A proper canopy light distribution in fruit trees can improve photosynthetic efficiency, which
is important for improving fruit yield and quality. Traditional methods of measuring light …

Drones, as mobile media of the present day, increase the operational and narrative
capabilities of television and accelerate the logistics of shooting. Unmanned aerial vehicles …

Despite technological growth and worldwide advancements in various fields, the agriculture
sector continues to face numerous challenges such as desertification, environmental …

With the growing demand for efficient solutions to face the challenges posed by population
growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a …

Managing agricultural activity encompasses technology, geographic information, spatial
data and geomatic tools as support techniques. In this framework, agricultural mapping is an …

Path planning of multi-unmanned aerial vehicles (multi-UAVs) in complex urban
environments is a challenging task, which suffers from low autonomous decision-making …