Unmanned aerial vehicles (UAV) and the sensors they can be equipped with are becoming
more technologically advanced and common place within the agricultural industry. The …

Drones are being used for agriculture monitoring in many different crops. Nevertheless, the
use of drones for green areas' evaluation is limited, and information is scattered. In this …

One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …

Recent research on the application of remote sensing and deep learning‐based analysis in
precision agriculture demonstrated a potential for improved crop management and reduced …

Remote sensing can be used for precision nutrient management to assess plant nitrogen (N)
status in a spatially detailed and real-time manner. Despite recent advances in satellite-and …

This research paper focuses on providing an algorithm by which (Unmanned Aerial
Vehicles) UAVs can be used to provide optimal routes for agricultural applications such as …

Monitoring within-field crop variability at fine spatial and temporal resolution can assist
farmers in making reliable decisions during their agricultural management; however, it …

Reflectance-based vegetation indices can be valuable for assessing crop nitrogen (N) status
and predicting grain yield. While proximal sensors have been widely studied in agriculture …

Accurate and timely monitoring of biomass in breeding nurseries is essential for evaluating
plant performance and selecting superior genotypes. Traditional methods for phenotyping …

Farmers, agencies, agricultural research community and firms require access to tools to
analyze and estimate stressed and productive regions to obtain higher yield. At present, this …