Due to the advantages of small size, lightweight, and simple operation, the unmanned aerial
vehicle (UAV) has been widely used, and it is also becoming increasingly convenient to …

The application of Deep Learning models in fruit analysis has garnered significant attention
due to its potential to revolutionize the agricultural sector and enhance crop monitoring. This …

In recent years, there have been significant advances in deep learning and road marking
recognition due to machine learning and artificial intelligence. Despite significant progress, it …

Detecting and eliminating sprouted potatoes is a basic measure before potato storage,
which can effectively improve the quality of potatoes before storage and reduce economic …

The object detection algorithm is one of the core technologies of the intelligent rubber
tapping robot, but most of the existing detection algorithms cannot effectively meet the …

In this study the effectiveness of using Basalt Fiber Reinforced Polymer (BFRP) for
strengthening and repairing concrete beams after pre-damage was investigated. Four-point …

The ripeness of tomatoes is crucial to determining their shelf life and quality. Most of the
current methods for picking and sorting tomatoes take a long time, so this paper aims to …

A close relationship has been observed between the growth and development of kiwi fruit
and the pollination of the kiwi flower. Flower overlap, flower tilt, and other problems will affect …

The traditional approach for analyzing the quality of arecanuts is based on their external
appearance. However, using machine learning and deep learning techniques, automated …

Abstract (Aim) Aiming at the problem that there are a large number of small object nodules
that are difficult to detect in lung images, detection methods based on improved YOLOv7 are …