Abstract Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a
remarkable development in recent decades. In agriculture, they have changed farming …

Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …

Accurate prediction of food crop yield is of great significance for global food security and
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …

Background Faba bean is an important legume crop in the world. Plant height and yield are
important traits for crop improvement. The traditional plant height and yield measurement …

Unmanned aerial vehicles (UAVs) have emerged as a promising platform for determining
the dynamic phenotypic traits of crops in the field in a rapid and cost-effective manner. Crop …

Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …

Hyperspectral aerial imagery is becoming increasingly available due to both technology
evolution and a somewhat affordable price tag. However, selecting a proper UAV+ …

Above-ground biomass (AGB) is an important basis for the formation of crop yield. The
accurate estimation of maize AGB based on unmanned aerial vehicle (UAV) images is …

LNC (leaf nitrogen content) in crops is significant for diagnosing the crop growth status and
guiding fertilization decisions. Currently, UAV (unmanned aerial vehicles) remote sensing …