An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment

An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment

This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy...

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Bibliographic Details
Main Authors: Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Plants
Subjects:
weed detection
agricultural image analysis
latent diffusion transformer
real-time monitoring
deep learning
Online Access:https://www.mdpi.com/2223-7747/13/22/3192
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