YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment.

ABSTRACT:

Introduction

The accurate and rapid detection of ginseng fruits in natural environments is crucial for the development of intelligent harvesting equipment for ginseng fruits. Due to the complexity and density of the growth environment of ginseng fruits, some newer visual detection methods currently fail to meet the requirements for accurate and rapid detection of ginseng fruits. Therefore, this study proposes the YOLO-Ginseng detection method.

Methods

Firstly, this detection method innovatively proposes a plug-and-play deep hierarchical perception feature extraction module called C3f-RN, which incorporates a sliding window mechanism. Its unique structure enables the interactive processing of cross-window feature information, expanding the deep perception field of the network

SUBMITTER: Xie Z 

PROVIDER: S-EPMC11618388 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature