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1
Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion
Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion
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Artigo 		Adicionar ao Meu Espaço

Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion

Mark Spekken Sytze de Bruin; José Paulo Molin; Gerd Sparovek

Computers and Electronics in Agriculture Oxford v. 124, p. 194–210, June 2016

Oxford 2016

Acesso online

2
Yield mapping methods for manually harvested crops
Yield mapping methods for manually harvested crops
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Yield mapping methods for manually harvested crops

A.F Colaço R.G Trevisan; F.H.S Karp; Jose Paulo Molin

Computers and Electronics in Agriculture v. 177, art. 105693, p. 1-14, 2020

Amsterdam 2020

Item não circula. Consulte sua biblioteca.(Acessar)

3
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

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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
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

6
Yield mapping methods for manually harvested crops
Yield mapping methods for manually harvested crops
Material Type:
Artigo 		Adicionar ao Meu Espaço

Yield mapping methods for manually harvested crops

Colaço, A.F. ; Trevisan, R.G. ; Karp, F.H.S. ; Molin, J.P.

Computers and electronics in agriculture, 2020-10, Vol.177, p.105693, Article 105693 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Deste Autor:

  1. Molin, J
  2. Martello, M
  3. Maldaner, L
  4. Canata, T
  5. Corrêdo, L

Neste Assunto:

  1. Agricultura De Precisão
  2. Aprendizado Computacional
  3. Colheita
  4. Cana-De-Açúcar
  5. Yield Map

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

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