Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft
System) development. Because of their low cost and small size, these devices have the …

Unmanned farms employ a variety of sensors, automated systems, and data analysis
techniques to enable fully automated and intelligent management. This not only heightens …

Traditional target detection algorithms have difficulty to adapt complex environmental
changes and have limited applicable scenarios. However, the deep-learning-based target …

Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …

Due to the high demands on military and commercial applications, the development of UAVs
(unmanned aerial vehicles) has become increasingly important in recent years. In this …

Drones have been widely applied in the precision agriculture sector in the past few years.
Incorporating artificial intelligence (AI), sensors, microcontrollers, and the Internet of Things …

In dry regions, gardens and trees within the urban space are of considerable significance.
These gardens are facing harsh weather conditions and environmental stresses; on the …

Abstract Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile
applicability. With UAVs' growth in availability and applications, they are now of vital …

General target detection with deep learning has made tremendous strides in the past few
years. However, small target detection sometimes is associated with insufficient sample size …

The accurate evaluation of crop damage by wild animals is crucial for farmers when seeking
compensation from insurance companies or other institutions. One of the game species that …