Recently, a rapid advancement in using unmanned aerial vehicles (UAVs) for yield
prediction (YP) has led to many YP research findings. This study aims to visualize the …

Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …

Recent advancements in high-throughput phenoty** have led to the use of drones with
RGB sensors for evaluating plant traits. This study explored the relationships between …

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 …

In Peru, common bean varieties adapt very well to arid zones, and it is essential to
strengthen their evaluations accurately during their phenological stage by using remote …

Plants respond to biotic and abiotic pressures by changing their biophysical and
biochemical aspects, such as reducing their biomass and develo** chlorosis, which can …

The advancement of technology associated with the field, especially the use of unmanned
aerial vehicles (UAV) coupled with multispectral cameras, allows us to monitor the condition …

Smooth bromegrass (Bromus inermis) is a perennial, high-quality forage grass. However, its
seed yield is influenced by agronomic practices, climatic conditions, and the growing year …

Accurate identification of crop phenology timing is crucial for agriculture. While remote
sensing tracks vegetation changes, linking these to ground-measured crop growth stages …

This research investigates the biodiversity and ecological status of the Fraxinus sogdiana
Bunge forests within Charyn Canyon, Kazakhstan, a unique ecosystem known for its high …