Toward Grapevine Digital Ampelometry Through Vision Deep Learning Models-Reference-Cited by-同舟云学术

Toward Grapevine Digital Ampelometry Through Vision Deep Learning Models

Published:2023-05-01 Issue:9 Volume:23 Page:10132-10139
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Magalhães Sandro Costa¹^ORCID,Castro Luís²^ORCID,Rodrigues Leandro¹^ORCID,Padilha Tiago Cerveira³^ORCID,de Carvalho Frederico⁴^ORCID,Neves dos Santos Filipe²^ORCID,Pinho Tatiana²^ORCID,Moreira Germano¹^ORCID,Cunha Jorge⁵^ORCID,Cunha Mário¹^ORCID,Silva Paulo³^ORCID,Moreira António Paulo¹^ORCID

Affiliation:

1. INESC TEC—Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Porto, Portugal

2. INESC TEC—Instituto de Engenharia de Sistenas, Tecnologia e Ciência, Porto, Portugal

3. Vimetrica Agro, Nogueira da Regedoura, Portugal

4. School of Engineering, University of Trás-os-Monte e Alto Douro (UTAD), Vila Real, Portugal

5. Estação Vitivinícola Nacional, Instituto Nacional de Investigação Agrária e Veterinária (INIAV), Dois Portos, Portugal

Funder

Funda??o para a Ci?ncia e a Tecnologia

European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10113769/10087281.pdf?arnumber=10087281

Reference33 articles.

1. NIH Image to ImageJ: 25 years of image analysis

2. Feature Extraction By Using Deep Learning: A Survey

3. The Analysis of Plants Image Recognition Based on Deep Learning and Artificial Neural Network

4. Deep Residual Learning for Image Recognition

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