Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique-Reference-Cited by-同舟云学术

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique

Published:2023-03 Issue: Volume:155 Page:106611
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Hadipour-Rokni Ramazan,Askari Asli-Ardeh Ezzatollah,Jahanbakhshi Ahmad,Esmaili paeen-Afrakoti Iman,Sabzi Sajad

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference38 articles.

1. Field capture of male Mediterranean fruit flies (Diptera: tephritidae) in traps baited with varying amounts of trimedlure;Shelly;Fla. Entomol.,2020

2. Evaluation of type, color of traps and different attractants in attracting and capturing of Mediterranean fruit fly Ceratitis capitata (WIED.);Abu-Ragheef;Plant Archives,2020

3. Chemical composition of essential oil from Tetradenia riparia and its attractant activity for mediterranean fruit fly, Ceratitis capitata;Blythe;Nat. Prod. Commun.,2020

4. Mediterranean fruit fly, ceratitis capitata (wiedemann) (insecta: Diptera: tephritidae);Thomas;Environ. Data Inf. Serv.,2004

5. Manipulation of the microbiota of mass-reared Mediterranean fruit flies Ceratitis capitata (Diptera: tephritidae) improves sterile male sexual performance;Ami;ISME J.,2010

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