The agri-food sector is an endless source of expansion for nourishing a vast population, but
there is a considerable need to develop high-standard procedures through intelligent and …

Background Food assurance systems (FAS) that are critical for protecting the quality and
safety of food products can be defined as a systematic approach to ensuring the safety …

The goal of this research was to look into how artificial intelligence (AI) and machine
learning (ML) techniques are being used in food industry and to come up with future …

The detection of drones or unmanned aerial vehicles is a crucial component in protecting
safety-critical infrastructures and maintaining privacy for individuals and organizations. The …

Drone detection is an important yet challenging task in the context of object detection. The
development of robust and reliable drone detection systems requires large amounts of …

Recently, the lack of expansion joint gaps on highway bridges in Korea has been
increasing. In particular, with the increase in the number of days during the summer …

The detection of drones using radars is a problem of great importance due to the wide
proliferation of drones that are being used in a variety of applications. In this paper, we …

A challenge of detecting and identifying drones has emerged due to the significant increase
in recreational and commercial drones operating range, payload size, and overall …

Nutrition is vital for human survival. It is essential to reduce food waste, streamline the supply
chain, and improve food logistics, delivery, and safety. Artificial intelligence and machine …

Drones or unmanned aerial vehicles (UAVs) have rapidly spread all over the world and are
becoming widely popular in major cities for personal and commercial use. It has also been …