Research on Precise Segmentation and Center Localization of Weeds in Tea Gardens Based on an Improved U-Net Model and Skeleton Refinement Algorithm

Research on Precise Segmentation and Center Localization of Weeds in Tea Gardens Based on an Improved U-Net Model and Skeleton Refinement Algorithm

The primary objective of this research was to develop an efficient method for accurately identifying and localizing weeds in ecological tea garden environments, aiming to enhance the quality and yield of tea production. Weed competition poses a significant challenge to tea production, particularly d...

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Bibliographic Details
Main Authors: Zhiyong Cao, Shuai Zhang, Chen Li, Wei Feng, Baijuan Wang, Hao Wang, Ling Luo, Hongbo Zhao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agriculture
Subjects:
tea garden weeds
complex environment
ASPP
center localization
Online Access:https://www.mdpi.com/2077-0472/15/5/521
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