Small-object detection is a challenging task in computer vision due to the limited training
samples and low-quality images. Transfer learning, which transfers the knowledge learned …

In recent years, computer vision (CV) has made enormous progress and is providing great
possibilities in analyzing images for object detection, especially with the application of …

In agriculture, early detection and localization of plant diseases in time using deep learning
techniques can help farmers contain the spread of plant diseases. In this work, we apply …

Artificial Intelligence (AI) has changed how processes are developed, and decisions are
made in the agricultural area replacing manual and repetitive processes with automated and …

During the growth stage of soybean seedlings, it is crucial to quickly and precisely identify
them for emergence rate assessment and field management. Traditional manual counting …

With the widespread application of LiDAR and camera, the integration of LiDAR and camera
has become an urgent issue. In this study, we proposed a optimal layout method for …

Unmanned aerial vehicle (UAV), also known as drone is one of the most interesting
emerging technologies with a wide range of applications including agriculture, surveillance …