Search Results - "SILVA, ROUVERSON PEREIRA DA"

Refine Results
  1. 1

    Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction by Oliveira, Mailson Freire de, Ortiz, Brenda Valeska, Morata, Guilherme Trimer, Jiménez, Andrés-F, Rolim, Glauco de Souza, Silva, Rouverson Pereira da

    Published in Remote sensing (Basel, Switzerland) (01-12-2022)
    “…Methods using remote sensing associated with artificial intelligence to forecast corn yield at the management zone level can help farmers understand the…”
    Get full text
    Journal Article
  2. 2

    Development of an electrohydraulic drive system for the vibrating conveyor belt of the peanut digger-inverter by Ferezin, Evaldo, da Silva, Rouverson Pereira, Dos Santos, Adão Felipe, Zerbato, Cristiano

    Published in PloS one (30-10-2018)
    “…Hydraulic systems are equipment widely used in stationary industrial equipment and in moving agricultural equipment and construction machines. Currently, the…”
    Get full text
    Journal Article
  3. 3

    The times, movements and operational efficiency of mechanized coffee harvesting in sloped areas by Tavares, Tiago de Oliveira, de Oliveira, Bruno Rocca, Silva, Vantuir de Albuquerque, Pereira da Silva, Rouverson, Dos Santos, Adão Felipe, Okida, Estela Silva

    Published in PloS one (28-05-2019)
    “…Coffee farms have been adopting the microterraces system, a technique that reduces the effect of the slope by moving the soil between the crop lines. In this…”
    Get full text
    Journal Article
  4. 4
  5. 5

    UAVs to Monitor and Manage Sugarcane: Integrative Review by Barbosa Júnior, Marcelo Rodrigues, Moreira, Bruno Rafael de Almeida, Brito Filho, Armando Lopes de, Tedesco, Danilo, Shiratsuchi, Luciano Shozo, Silva, Rouverson Pereira da

    Published in Agronomy (Basel) (01-03-2022)
    “…Pilotless aircraft systems will reshape our critical thinking about agriculture. Furthermore, because they can drive a transformative precision and digital…”
    Get full text
    Journal Article
  6. 6

    Mapping Gaps in Sugarcane by UAV RGB Imagery: The Lower and Earlier the Flight, the More Accurate by Barbosa Júnior, Marcelo Rodrigues, Tedesco, Danilo, Corrêa, Rafael de Graaf, Moreira, Bruno Rafael de Almeida, Silva, Rouverson Pereira da, Zerbato, Cristiano

    Published in Agronomy (Basel) (01-12-2021)
    “…Imagery data prove useful for mapping gaps in sugarcane. However, if the quality of data is poor or the moment of flying an aerial platform is not compatible…”
    Get full text
    Journal Article
  7. 7

    Loss sampling methods for soybean mechanical harvest by Strini Paixão, Carla Segatto, Voltarelli, Murilo Aparecido, Costa Souza, Jarlyson Brunno, De Brito Filho, Armando Lopes, Silva, Rouverson Pereira da

    Published in Bioscience journal (12-08-2022)
    “…Harvesting is one of the most important stages of the agricultural production process. However, the lack of monitoring during this operation and the absence of…”
    Get full text
    Journal Article
  8. 8
  9. 9
  10. 10

    Does the Soil Tillage Affect the Quality of the Peanut Picker? by Lopes de Brito Filho, Armando, Morlin Carneiro, Franciele, Costa Souza, Jarlyson Brunno, Luns Hatun de Almeida, Samira, Patias Lena, Bruno, Pereira da Silva, Rouverson

    Published in Agronomy (Basel) (01-04-2023)
    “…Machine harvesting is an essential step of crop production, considering a dynamic operation, and is subject to losses due to several factors that affect its…”
    Get full text
    Journal Article
  11. 11

    Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural Networks by Souza, Jarlyson Brunno Costa, de Almeida, Samira Luns Hatum, Freire de Oliveira, Mailson, Santos, Adão Felipe dos, Filho, Armando Lopes de Brito, Meneses, Mariana Dias, Silva, Rouverson Pereira da

    Published in Agronomy (Basel) (01-07-2022)
    “…The monitoring and determination of peanut maturity are fundamental to reducing losses during digging operation. However, the methods currently used are…”
    Get full text
    Journal Article
  12. 12
  13. 13

    A High-Throughput Imagery Protocol to Predict Functionality upon Fractality of Carbon-Capturing Biointerfaces by Moreira, Bruno Rafael de Almeida, Brito Filho, Armando Lopes de, Barbosa Júnior, Marcelo Rodrigues, Silva, Rouverson Pereira da

    Published in Agronomy (Basel) (01-02-2022)
    “…Surface quality is key for any adsorbent to have an effective adsorption. Because analyzing an adsorbent can be costly, we established an imagery protocol to…”
    Get full text
    Journal Article
  14. 14

    Quality of cut and basecutter blade configuration for the mechanized harvest of green sugarcane by Toledo, Anderson de, Silva, Rouverson Pereira da, Furlani, Carlos Eduardo Angeli

    Published in Scientia agricola (01-12-2013)
    “…Quality control is used to evaluate processes and products, and is a powerful tool for reducing variability. The objective of this study was to evaluate the…”
    Get full text
    Journal Article
  15. 15

    Potential of using tatistical quality control in agriculture 4.0 by Silva, Rouverson Pereira da, Santos, Adão Felipe dos, Oliveira, Bruno Rocca de, Souza, Jarlyson Brunno Costa, Oliveira, Danilo Tedesco de, Carneiro, Franciele Morlin

    Published in Ciência agronômica (2020)
    “…ABSTRACT Agriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, and sensors for use in agricultural…”
    Get full text
    Journal Article
  16. 16

    Variability of harvest loss in relation to physiological characteristics of cotton by Kazama, Elizabeth Haruna, Silva, Rouverson Pereira da, Carneiro, Franciele Morlin, Teixeira, Daniel de Bortoli, Vale, Welington Gonzaga do, Pereira, Gener Tadeu

    Published in Acta scientiarum. Agronomy (01-01-2020)
    “…Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton…”
    Get full text
    Journal Article
  17. 17

    Convolutional neural networks in predicting cotton yield from images of commercial fields by Tedesco-Oliveira, Danilo, Pereira da Silva, Rouverson, Maldonado, Walter, Zerbato, Cristiano

    Published in Computers and electronics in agriculture (01-04-2020)
    “…[Display omitted] •Images of the cotton plants in commercial fields were acquired by a mobile device.•We present an approach robust exploring environmental…”
    Get full text
    Journal Article
  18. 18

    MECHANICAL HARVESTING OF COFFEE IN HIGH SLOPE by SANTINATO, FELIPE, SILVA, ROUVERSON PEREIRA DA, SILVA, VANTUIR DE ALBUQUERQUE, SILVA, CARLOS DIEGO DA, TAVARES, TIAGO DE OLIVEIRA

    Published in Caatinga (01-09-2016)
    “…ABSTRACT Brazilian coffee farming is carried out both on flat and steep lands. In flat areas, mechanized operations are intensive; however, in steep slope…”
    Get full text
    Journal Article
  19. 19

    Mechanized fertilization: individual application of nitrogen, phosphorus and potassium in sugarcane by Carneiro, Franciele Morlin, Furlani, Carlos Eduardo Angeli, Ormond, Antonio Tassio Santana, Kazama, Elizabeth Haruna, Silva, Rouverson Pereira da

    Published in Ciência agronômica (01-04-2017)
    “…With the expansion of areas of sugarcane cultivation, mechanised fertilisation is essential for providing improved operational performance, optimising the…”
    Get full text
    Journal Article
  20. 20

    Rate errors in sprayer turning and circular movements: PWM valve as compensation system and why spray boom size matters by Carreira, Vinicius dos Santos, Pereira da Silva, Rouverson

    Published in Crop protection (01-01-2022)
    “…Variations in pesticide application can comprise the efficacy. Among them, turning and circular movements (TCM) generate rate errors, harming the crop and…”
    Get full text
    Journal Article