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Refinado por: Nome da Publicação: Computers and Electronics in Agriculture remover
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1
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
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Artigo 		Adicionar ao Meu Espaço

Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images

Victor Hugo Andrade Soares Moacir Antonelli Ponti; Ricardo José Gabrielli Barreto Campello

Computers and Electronics in Agriculture Kidlington v. 220, p. 1-18, May 2024

Kidlington 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3189619 )(Acessar)

2
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
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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

3
Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches
Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches
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Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches

Leonardo Felipe Maldaner Lucas de Paula Corrêdo; Tatiana Fernanda Canata; José Paulo Molin

Computers and Electronics in Agriculture Amsterdam v. 181, art. 105945, p. 1-9, 2021

Amsterdam 2021

Acesso online

4
Detection, classification, and mapping of coffee fruits during harvest with computer vision
Detection, classification, and mapping of coffee fruits during harvest with computer vision
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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)

5
Cattle counting in the wild with geolocated aerial images in large pasture areas
Cattle counting in the wild with geolocated aerial images in large pasture areas
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Cattle counting in the wild with geolocated aerial images in large pasture areas

Victor Hugo Andrade Soares Moacir Antonelli Ponti; Rodrigo Almeida Gonçalves; Ricardo José Gabrielli Barreto Campello

Computers and Electronics in Agriculture Kidlington v. 189, p. 1-14, 2021

Kidlington 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3039475 )(Acessar)

6
DropLeaf a precision farming smartphone tool for real-time quantification of pesticide application coverage
DropLeaf a precision farming smartphone tool for real-time quantification of pesticide application coverage
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DropLeaf a precision farming smartphone tool for real-time quantification of pesticide application coverage

Bruno Brandoli Machado Gabriel Spadon; Travis Esau; Patrick Hennessy; André Carlos Ponce de Leon Ferreira de Carvalho; Sihem Amer-Yahia; José Fernando Rodrigues Junior

Computers and Electronics in Agriculture Kidlington : Elsevier v. 180, p. 1-9, Jan. 2021

Kidlington 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3014956 )(Acessar)

7
Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control
Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control
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Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control

Heitor de Freitas Vieira Bruno Squizato Faiçal; Alef Vinicius Cardoso e Silva; Jó Ueyama

Computers and Electronics in Agriculture Amsterdam : Elsevier v. 173, p. 1-10. 2020

Amsterdam 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2995081 )(Acessar)

8
Analysis of green manure decomposition parameters in northeast Brazil using association rule networks
Analysis of green manure decomposition parameters in northeast Brazil using association rule networks
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Analysis of green manure decomposition parameters in northeast Brazil using association rule networks

Dario Brito Calçada Solange Oliveira Rezende; Mauro Sergio Teodoro

Computers and Electronics in Agriculture Kidlington : Elsevier v. 159, p. 34-41, Apr. 2019

Kidlington 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2930922 )(Acessar)

9
Methods of image acquisition and software development for leaf area measurements in pastures
Methods of image acquisition and software development for leaf area measurements in pastures
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Methods of image acquisition and software development for leaf area measurements in pastures

Adriano Rogério Bruno Tech André Luis Céspedes da Silva; Luiz Antonio Meira; Marcelo Eduardo Oliveira; Lilian Elgalise Techio Pereira

Computers and Electronics in Agriculture Amsterdam v. 153, p. 278-284, Oct. 2018

Amsterdam 2018

Localização: FZEA - Fac. Zoot. Eng. de Alimentos    (PCD 2018 Met )(Acessar)

10
Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables
Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables
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Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables

Rafael Vieira de Sousa Alex Vinicius da Silva Rodrigues; Mariana Gomes de Abreu; Rubens Andre Tabile; Luciane Silva Martello

Computers and Electronics in Agriculture Amsterdam v. 144, p. 37-43, 2018

Amsterdam 2018

Localização: FZEA - Fac. Zoot. Eng. de Alimentos    (PCD 2018 Pre )(Acessar)

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Deste Autor:

  1. Cugnasca, C
  2. Hirakawa, A
  3. Saraiva, A
  4. Corrêa, P
  5. Molin, J

Neste Assunto:

  1. Agricultura De Precisão
  2. Aprendizado Computacional
  3. Redes Neurais
  4. Aeronaves Não Tripuladas
  5. Cana-De-Açúcar

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

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