Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Brenon Diennevan Souza Barbosa"'
Autor:
Nicole Lopes Bento, Gabriel Araújo E Silva Ferraz, Rafael Alexandre Pena Barata, Lucas Santos Santana, Brenon Diennevan Souza Barbosa, Leonardo Conti, Valentina Becciolini, Giuseppe Rossi
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 263-275 (2022)
Photogrammetric data are systematically used in several segments. Products such as Digital Terrain Models (DTMs) provide detailed surface information, however the geometric reliability of these products is questionable compared to data collected by t
Externí odkaz:
https://doaj.org/article/239239ce2ead4213b8b01d232619c426
Autor:
Nicole Lopes Bento, Gabriel Araújo e Silva Ferraz, Rafael Alexandre Pena Barata, Daniel Veiga Soares, Lucas Santos Santana, Brenon Diennevan Souza Barbosa
Publikováno v:
AgriEngineering, Vol 4, Iss 1, Pp 207-215 (2022)
Digital agriculture is fundamental to potential improvements in the field by optimizing processes and providing intelligent decision making. This study aims to calculate the height and canopy diameter of recently transplanted coffee plants over three
Externí odkaz:
https://doaj.org/article/da3f86cb640d491b83f5e027409f2737
Autor:
Brenon Diennevan Souza Barbosa, Gabriel Araújo e Silva Ferraz, Lucas Costa, Yiannis Ampatzidis, Vinay Vijayakumar, Luana Mendes dos Santos
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss , Pp 100010- (2021)
Unmanned Aerial Vehicles (UAVs) combined with machine learning have a great potential for crop yield estimation. In this study, a UAV equipped with an RGB (Red, Green, Blue) camera and computer vision algorithms were used to estimate coffee tree heig
Externí odkaz:
https://doaj.org/article/4eb8aeb781f448199c531f1e9cd3c6c9
Autor:
Gabriel Araújo e Silva Ferraz, Brenon Diennevan Souza Barbosa, Étore Francisco Reynaldo, Sthéfany Airane dos Santos, Jose Roberto Moreira Ribeiro Gonçalves, Patrícia Ferreira Ponciano Ferraz
Publikováno v:
Dyna, Vol 86, Iss 209, Pp 289-297 (2019)
This study aimed to characterize the spatial variability of pH in soils of two farms in the state of Paraná, Brazil, based on two different sampling methods used in precision agriculture, by means of geostatistical analyzes. The first method of samp
Externí odkaz:
https://doaj.org/article/02cf3d5af10a4de4bf835eafc195cf57
Autor:
Diogo Tubertini Maciel, Letícia Aparecida Gonçalves Xavier, Brenon Diennevan Souza Barbosa, Gabriel Araújo e Silva Ferraz, Adriano Valentim Diotto, Luana Mendes dos Santos
Publikováno v:
Precision Agriculture. 21:1227-1241
The advance of digital agriculture combined with computational tools and Unmanned Aerial Vehicles (UAVs) has enabled the collection of data for reliably extracting vegetation indices and biophysical parameters derived from the Structure from Motion (
Autor:
Gabriel Araújo e Silva Ferraz, Leonardo Conti, Luana Mendes dos Santos, Brenon Diennevan Souza Barbosa, Adriano Valentim Diotto, Giuseppe Rossi, Marco Thulio Andrade
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6401-6409 (2020)
Leaf area is a component of crop growth and yield prediction models. Few studies have used the structure from motion (SfM) algorithm, which is based on the principles of traditional stereophotogrammetry, to obtain the leaf area index (LAI). Thus, the
Autor:
Brenon Diennevan Souza Barbosa, Diego José Carvalho Alonso, Fábio Moreira da Silva, Miguel Angel Diaz Herrera, Rafael de Oliveira Faria, Daniel Veiga Soares, Gabriel Araújo e Silva Ferraz
Publikováno v:
Coffee Science. 15:1-5
Precision coffee growing is a concept that implies the use of precision agriculture techniques in coffee plantations. For the coffee growing, the precision electronic resources coupled to the harvesters are very scarce. Thereby, the harvest of coffee
Autor:
João Luiz Jacintho, Brenon Diennevan Souza Barbosa, Sthéfany Airane dos Santos, Gabriel Araújo e Silva Ferraz, Patrícia Ferreira Ponciano Ferraz
Publikováno v:
Engineering in Agriculture; Vol. 29 (2021): Publicação Contínua; 254-262
Revista Engenharia na Agricultura-REVENG; v. 29 (2021): Publicação Contínua; 254-262
Engenharia na Agricultura
Universidade Federal de Viçosa (UFV)
instacron:UFV
Revista Engenharia na Agricultura-REVENG; v. 29 (2021): Publicação Contínua; 254-262
Engenharia na Agricultura
Universidade Federal de Viçosa (UFV)
instacron:UFV
Precision Agriculture techniques, such as the management of spatial variability of crop attributes, have been studied for several crops. However, few studies have been performed on Tifton 85 bermudagrass. Thus, this work aimed to analyse the spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dbc8ccfad8d53aaf3e1fb005eef3e08
https://periodicos.ufv.br/reveng/article/view/12556
https://periodicos.ufv.br/reveng/article/view/12556
Autor:
Patrícia Ferreira Ponciano Ferraz, Marcelo Silva de Oliveira, L. M. Gonçalves, Brenon Diennevan Souza Barbosa, Gabriel Araújo e Silva Ferraz, Carlos J. da Silva
Publikováno v:
Revista Brasileira de Engenharia Agrícola e Ambiental-Agriambi, Vol 23, Iss 3, Pp 223-228
Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.3 2019
Revista Brasileira de Engenharia Agrícola e Ambiental
Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
Revista Brasileira de Engenharia Agrícola e Ambiental, Volume: 23, Issue: 3, Pages: 223-228, Published: MAR 2019
Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.3 2019
Revista Brasileira de Engenharia Agrícola e Ambiental
Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
Revista Brasileira de Engenharia Agrícola e Ambiental, Volume: 23, Issue: 3, Pages: 223-228, Published: MAR 2019
Noise is one of the harmful and stressful physical agents present in the workplace. Research performed with geostatistics to adjust the semivariogram of tractor noise were performed using the Gaussian and spherical model. In this way, the aim was to
Autor:
José Roberto Moreira Ribeiro Gonçalves, Brenon Diennevan Souza Barbosa, L. M. Gonçalves, Gabriel Araújo e Silva Ferraz, Étore Francisco Reynaldo
Publikováno v:
ENERGIA NA AGRICULTURA. 33:373-378
Este trabalho teve como objetivo avaliar os dados de pH e matéria orgânica (MO) do solo obtidos de forma direta por um sensor de contato móvel (Veris SMP), e compara-los com os dados destes mesmos atributos químicos determinados por método tradi