One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

As an important indicator reflecting plant growth and canopy structure, accurate and rapid
monitoring of the leaf area index (LAI) is very important for modern precision agriculture. The …

In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …

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

Rice is a very essential food for the survival of human society. Most of the people focus on
production of rice for their financial gain as well as their survival in the society. Rice …

LiDAR data are becoming increasingly available, which has opened up many new
applications. One such application is crop type map**. Accurate crop type maps are …

This study aimed to characterize vineyard vegetation thorough multi-temporal monitoring
using a commercial low-cost rotary-wing unmanned aerial vehicle (UAV) equipped with a …

It is important to recognize the rice image captured by unmanned aerial vehicle (UAV) for
monitoring the growth of rice and preventing the diseases and pests. Aiming at the image …

Recent years have witnessed enormous interest in the application of Unmanned Aerial
Systems (UAS) for precision agriculture. This study presents a novel approach to use multi …

Automated feature extraction from drone-based image point clouds (DIPC) is of paramount
importance in precision agriculture (PA). PA is blessed with mechanized row seedlings to …