The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …

Despite the perception people may have regarding the agricultural process, the reality is that
today's agriculture industry is data-centered, precise, and smarter than ever. The rapid …

Deep learning achieved high success of fruit-on-plant detection such as on apple. Most of
studies on apple detection identified all target fruits as one class regardless of fruit condition …

Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

Affected by global economic pressure and epidemics, sustainable agriculture has received
widespread attention from farmers and agricultural engineers. Throughout history …

Smart farming employs intelligent systems for every domain of agriculture to obtain
sustainable economic growth with the available resources using advanced technologies …

This study reviews the advancement of apple-related technology in six distinct domains:
pruning, pollinating, thinning, bagging, harvesting, and sorting. Firstly, the pruning section …

In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …

Multi-target recognition and positioning using robots in orchards is a challenging task in
modern precision agriculture owing to the presence of complex noise disturbance, including …