Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services-Reference-Cited by-同舟云学术

Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services

Published:2023-07 Issue: Volume:75 Page:102105
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Hamesse Charles,Andreo Verónica,Rodriguez Gonzalez Carla,Beumier Charles,Rubio Jorge,Porcasi Ximena,Lopez Laura,Guzman Claudio,Haelterman Rob,Shimoni Michal,Scavuzzo C. Marcelo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference31 articles.

1. Abt Associates, 2022. MECVision: Using computer vision to identify and count mosquito eggs. URL:https://github.com/abtassociates/mecvision.

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3. Towards a workflow for operational mapping of Aedes aegypti at urban scale based on remote sensing;Andreo;Remote Sens. Appl.: Soc. Environ.,2021

4. Spatial distribution of Aedes aegypti oviposition temporal patterns and their relationship with environment and Dengue incidence;Andreo;Insects,2021

5. A comparison of mosquito densities, weather and infection rates of Aedes aegypti during the first epidemics of Chikungunya (2014) and Zika (2016) in areas with and without vector control in Puerto Rico;Barrera;Med. Vet. Entomol.,2019

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1. Convolutional neural network-based real-time mosquito genus identification using wingbeat frequency: A binary and multiclass classification approach;Ecological Informatics;2024-05

2. EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs;Parasites & Vectors;2023-10-02