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Refinado por: Nome da Publicação: Computers and Electronics in Agriculture remover
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1
A system for plant detection using sensor fusion approach based on machine learning model
A system for plant detection using sensor fusion approach based on machine learning model
Material Type:
Artigo 		Adicionar ao Meu Espaço

A system for plant detection using sensor fusion approach based on machine learning model

Leonardo Felipe Maldaner José Paulo Molin; Tatiana Fernanda Canata; Maurício Martello

Computers and Electronics in Agriculture Amsterdam v. 189, art. 106382, p. 1-11, 2021

Amsterdam 2021

Acesso online

2
Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm
Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm
Material Type:
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Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm

Ana Cláudia dos Santos Luciano Michelle Cristina Araújo Picoli; Daniel Garbellini Duft; Jansle Vieira Rocha; Manoel Regis Lima Verde Leal; Guerric le Maire

Computers and Electronics in Agriculture Amsterdam v. 18, art. 4106063, p. 1-10, 2021

Amsterdam 2021

Item não circula. Consulte sua biblioteca.(Acessar)

3
Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning
Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning
Material Type:
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Discrimination of ingestive behavior in sheep using an electronic device based on a triaxial accelerometer and machine learning

Magno do Nascimento Amorim Silvia Helena Nogueira Turco; Daniel dos Santos Costa; Iara Jeanice Souza Ferreira; Wedson Pereira da Silva; Antonio Leopoldo Cardoso Sabino; Késia Oliveira da Silva-Miranda

Computers and Electronics in Agriculture Amsterdam v. 218, art. 108657, p. 1-8, 2024

Amsterdam 2024

Item não circula. Consulte sua biblioteca.(Acessar)

4
Corrigendum to "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]
Corrigendum to "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]
Material Type:
Artigo 		Adicionar ao Meu Espaço

Corrigendum to "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]

Robson Mateus Freitas Silveira Débora Andréa Evangelista Façanha; Concepta McManus; Luis Alberto Bermejo Asensio; Iran José Oliveira da Silva

Computers and Electronics in Agriculture Amsterdam v. 218, art. 108673, p. 1, 2024

Amsterdam 2024

Item não circula. Consulte sua biblioteca.(Acessar)

5
Detection, classification, and mapping of coffee fruits during harvest with computer vision
Detection, classification, and mapping of coffee fruits during harvest with computer vision
Material Type:
Artigo 		Adicionar ao Meu Espaço

Detection, classification, and mapping of coffee fruits during harvest with computer vision

Helizani Couto Bazame José Paulo Molin; Daniel Althoff; Maurício Martello

Computers and Electronics in Agriculture Amsterdam v. 183, art. 106066, p. 1-11, 2021

Amsterdam 2021

Item não circula. Consulte sua biblioteca.(Acessar)

6
Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee
Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee
Material Type:
Artigo 		Adicionar ao Meu Espaço

Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee

Winston Pinheiro Claro Gomes Luís Gonçalves; Clíssia Barboza da Silva; Wanessa Roberta Melchert

Computers and Electronics in Agriculture Amsterdam v. 198, art. 107097, p. 1-9, June 2022

Amsterdam 2022

Item não circula. Consulte sua biblioteca.(Acessar)

7
Automated acoustic detection of a cicadid pest in coffee plantations
Automated acoustic detection of a cicadid pest in coffee plantations
Material Type:
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Automated acoustic detection of a cicadid pest in coffee plantations

João Paulo Lemos Escola Rodrigo Capobianco Guido; Ivan Nunes da Silva; Alexandre Moraes Cardoso; Douglas Henrique Bottura Maccagnand; Artur Kenzo Dezotti

Computers and Electronics in Agriculture Amsterdam, 2020 v. 169, 105215, 2020

Amsterdam 2020

Item não circula. Consulte sua biblioteca.(Acessar)

8
Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques a review
Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques a review
Material Type:
Artigo 		Adicionar ao Meu Espaço

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques a review

Camila Maione Fernando Barbosa Junior; Rommel Melgaço Barbosa

Computers and Electronics in Agriculture Amsterdam v. 157, p. 436-446, 2019

Amsterdam 2019

Localização: FCFRP - Fac. Ciên. Farm. Ribeirão Preto    (pcd 3009743 Estantes Deslizantes )(Acessar)

9
Deep4Fusion a Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits
Deep4Fusion a Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits
Material Type:
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Deep4Fusion a Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits

Lucas de Souza Rodrigues Edmar Caixeta Filho; Kenzo Sakiyama; Mateus Figueiredo Santos; Liana Jank; Camilo Carromeu; Eloise Silveira; Edson Takashi Matsubara; José Marcato Júnior; Wesley Nunes Gonçalves

Computers and Electronics in Agriculture Kidlington v. 211, p. 1-14, Aug. 2023

Kidlington 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3142904 )(Acessar)

10
Intelligent methodologies An integrated multi-modeling approach to predict adaptive mechanisms in farm animals
Intelligent methodologies An integrated multi-modeling approach to predict adaptive mechanisms in farm animals
Material Type:
Artigo 		Adicionar ao Meu Espaço

Intelligent methodologies An integrated multi-modeling approach to predict adaptive mechanisms in farm animals

Robson Mateus Freitas Silveira Débora Andréa Evangelista Façanha; Concepta McManus; Luis Alberto Bermejo Asensio; Iran José Oliveira da Silva

Computers and Electronics in Agriculture Amsterdam v. 216, art. 108502, p. 1-11, 2024

Amsterdam 2024

Item não circula. Consulte sua biblioteca.(Acessar)

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Deste Autor:

  1. Silva, I
  2. Silva, C
  3. Bermejo Asensio, L
  4. Silveira, R
  5. McManus, C

Neste Assunto:

  1. Aprendizado Computacional
  2. Inteligência Artificial
  3. Agricultura De Precisão
  4. Algoritmos
  5. Redes Neurais

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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