Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …

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 …

Early assessment of crop development is a key aspect of precision agriculture. Shortening
the time of response before a deficit of irrigation, nutrients and damage by diseases is one of …

Field-scale corn yield prediction before harvest can assist farmers in better organizing their
resources. Machine learning-based pipelines for analyzing remote sensing imagery offer an …

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 …

The aim was to evaluate if maize (Zea mays L.) grain and silage yield can be estimated from
unmanned aerial systems (UAS) imagery. A fixed-wing UAS was used to collect imagery …

Accurate and prompt estimation of geospatial soybean yield (SY) is critical for the producers
to determine key factors influencing crop growth for improved precision management …

Corn grain moisture (CGM) is critical to estimate grain maturity status and schedule harvest.
Traditional methods for determining CGM range from manual scouting, destructive …

CONTEXT Reliable stability zone delineation requires considering spatial variability from
each year and temporal variability across at least three years. Yet, in cases where farms lack …