Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning

Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning

Disease and pest diagnosis plays a critical role in managing and controlling the damage caused by plant diseases and pests. This study employs a content-based image retrieval approach to diagnose diseases and pests, suggesting similar candidate images to assist in decision-making. Previous research...

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Bibliographic Details
Main Authors: Dong Jin, Helin Yin, Yeong Hyeon Gu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Alexandria Engineering Journal
Subjects:
Image retrieval
Plant disease
Lightweight model
Metric learning
Feature extraction
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824015230
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http://www.sciencedirect.com/science/article/pii/S1110016824015230

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