Smart agriculture or precision farming is a rapidly evolving multidisciplinary field
encompassing knowledge from agriculture, technology, data science, and environmental …

Pest target identification in agricultural production environments is challenging due to the
dense distribution, small size, and high density of pests. Additionally, changeable …

Research on develo** a smart security system is based on Artificial Intelligence with an
unmanned aerial vehicle (UAV) to detect and monitor alert situations, such as fire accidents …

Software is increasingly vital, with automated systems regulating critical functions. As
development demands grow, manual code review becomes more challenging, often making …

Pest infestations in tea gardens are one of the common issues encountered during tea
cultivation. This study introduces an improved YOLOv8 network model for the detection of …

Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …

In addition to favoring production, innovations in agriculture may have many positive
environmental impacts such as reductions in agrochemicals application, saving water and …

The use of deep learning in unmanned aerial vehicles (UAVs), or drones, has greatly
improved various technologies by making complex tasks easier, faster, and requiring less …