Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Barbara Teruel"'
Publikováno v:
Sensors, Vol 21, Iss 9, p 3169 (2021)
The use of deep learning models to identify lesions on cotton leaves on the basis of images of the crop in the field is proposed in this article. Cultivated in most of the world, cotton is one of the economically most important agricultural crops. It
Externí odkaz:
https://doaj.org/article/8f5edae187e946cbae36ba6b70b29814
Publikováno v:
Open Science Research VI ISBN: 9786553602120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::839d79e2e18dbae4248fe8006d93ba2b
https://doi.org/10.37885/220910047
https://doi.org/10.37885/220910047
Autor:
Barbara Teruel, Elaine C. de S. Alves, Clerivaldo J. Roccia, Francisco J. Arnold, Leonardo L. Bravo-Roger
Publikováno v:
Revista Brasileira de Engenharia Agrícola e Ambiental-Agriambi, Vol 16, Iss 12, Pp 1374-1380 (2012)
A potência de sinal é um importante parâmetro a ser considerado em um projeto de implantação de rede de sensores sem fio no meio agrícola. Este trabalho tem como objetivo coletar dados de qualidade de sinal transmitido entre uma estação base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::300ca7edaf46ef776a7d464458cfe256
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012001200016
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012001200016
Publikováno v:
Engenharia Agrícola, Vol 42, Iss 5 (2022)
ABSTRACT Action planning and decision-making in the sugarcane management chain depend on yield estimates, which, in turn, vary with the soil. This study aimed to describe an applicable method of classifying sugarcane productivity into three categorie
Externí odkaz:
https://doaj.org/article/17799fb893cf42f6b104715c46e62259
Autor:
Nelson Oliveros, Rodolpho Tinini, Daniel dos S. Costa, Rodrigo Ramos, Caio Wetterich, Bárbara Teruel
Publikováno v:
Engenharia Agrícola, Vol 41, Iss 4, Pp 475-484 (2021)
ABSTRACT Chlorophyll content is a widely used parameter for nutritional status diagnosis in sugarcane. This study aimed to develop a predictive model of chlorophyll content in sugarcane seedlings using spectral imagery analysis within the electromagn
Externí odkaz:
https://doaj.org/article/9a6ac05ead0543909bd9afe6d2ddd6c1
Autor:
Gian Oré, Marlon S. Alcântara, Juliana A. Góes, Bárbara Teruel, Luciano P. Oliveira, Jhonnatan Yepes, Valquíria Castro, Leonardo S. Bins, Felicio Castro, Dieter Luebeck, Laila F. Moreira, Rodrigo Cintra, Lucas H. Gabrielli, Hugo E. Hernandez-Figueroa
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1734 (2022)
This article presents a novel method for predicting the sugarcane harvesting date and productivity using a three-band imaging radar. Taking advantage of working with a multi-band radar, this system was employed to estimate the above-ground biomass (A
Externí odkaz:
https://doaj.org/article/28b8b79ecff94083800eb6cb61742b8a
Autor:
Gian Oré, Marlon S. Alcântara, Juliana A. Góes, Luciano P. Oliveira, Jhonnatan Yepes, Bárbara Teruel, Valquíria Castro, Leonardo S. Bins, Felicio Castro, Dieter Luebeck, Laila F. Moreira, Lucas H. Gabrielli, Hugo E. Hernandez-Figueroa
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 615 (2020)
Accurate, high-resolution maps of for crop growth monitoring are strongly needed by precision agriculture. The information source for such maps has been supplied by satellite-borne radars and optical sensors, and airborne and drone-borne optical sens
Externí odkaz:
https://doaj.org/article/2272209695be4a9db45c87765891b535
Autor:
Dieter Luebeck, Christian Wimmer, Laila F. Moreira, Marlon Alcântara, Gian Oré, Juliana A. Góes, Luciano P. Oliveira, Bárbara Teruel, Leonardo S. Bins, Lucas H. Gabrielli, Hugo E. Hernandez-Figueroa
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 778 (2020)
Differential synthetic aperture radar interferometry (DInSAR) has been widely applied since the pioneering space-borne experiment in 1989, and subsequently with the launch of the ERS-1 program in 1992. The DInSAR technique is well assessed in the cas
Externí odkaz:
https://doaj.org/article/2282060c150b492799420f461e7596d1
Autor:
Clerivaldo Roccia, Bárbara Teruel, Elaine C. de S. Alves, Francisco Arnold, Leonardo Bravo-Roger, Angelo Moretti, Marcos S. Gonçalves
Publikováno v:
Engenharia Agrícola, Vol 32, Iss 6, Pp 1165-1175 (2012)
The aim of this study was to perform an experimental study to evaluate the proper operation distance between the nodes of a wireless sensor network available on the market for different agricultural crops (maize, physic nut, eucalyptus). The experime
Externí odkaz:
https://doaj.org/article/aa7a55659c524099990a6192622f0094
Publikováno v:
Ciência Rural, Vol 38, Iss 3, Pp 705-710 (2008)
Apresenta-se o desenvolvimento de um equipamento microprocessado, com saída de corrente, para controle da velocidade de rotação do motor do ventilador de sistemas de ar forçado, usando inversor de freqüência. Através de programação (software
Externí odkaz:
https://doaj.org/article/493c52edab6c4699b9da2b7683712888