Tomato Fungal Disease Diagnosis Using Few-Shot Learning Based on Deep Feature Extraction and Cosine Similarity

Tomato Fungal Disease Diagnosis Using Few-Shot Learning Based on Deep Feature Extraction and Cosine Similarity

Tomato fungal diseases can cause significant economic losses to farmers. Advanced disease detection methods based on symptom recognition in images face challenges when identifying fungal diseases in tomatoes, especially with limited training images. This study utilized novel techniques designed for...

Full description

Bibliographic Details
Main Authors: Seyed Mohamad Javidan, Yiannis Ampatzidis, Ahmad Banakar, Keyvan Asefpour Vakilian, Kamran Rahnama
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:AgriEngineering
Subjects:
cosine similarity
deep learning
few-shot learning
image processing
intelligent method
one-shot learning
Online Access:https://www.mdpi.com/2624-7402/6/4/238

Internet

https://www.mdpi.com/2624-7402/6/4/238

Similar Items