A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and Classification

A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and Classification

The rapid advancement in smart agriculture has introduced significant challenges, including data scarcity, complex and diverse disease features, and substantial background interference in agricultural scenarios. To address these challenges, a disease detection method based on few-shot learning and d...

Full description

Saved in:
Bibliographic Details
Main Authors: Huachen Zhou, Weixia Li, Pei Li, Yifei Xu, Lin Zhang, Xingyu Zhou, Zihan Zhao, Enqi Li, Chunli Lv
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Plants
Subjects:
sunflower disease diagnosis
few-shot learning
deep learning in agriculture
attention mechanism
Online Access:https://www.mdpi.com/2223-7747/14/3/339
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2223-7747/14/3/339

Similar Items