Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Davis Jr, Clodoveu Augusto"'
Autor:
Monteiro, Cristiano Martins, Machado, Claudia A. Soares, Lage, Mariana de Oliveira, Berssaneti, Fernando Tobal, Davis Jr., Clodoveu Augusto, Quintanilha, José Alberto
Publikováno v:
In Procedia Manufacturing 2019 39:1968-1976
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Information and Data Management; Vol 8 No 1 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 67
Journal of Information and Data Management; v. 8 n. 1 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 67
Journal of Information and Data Management; v. 8, n. 1 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 67
Journal of Information and Data Management; v. 8 n. 1 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 67
Journal of Information and Data Management; v. 8, n. 1 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 67
Geographic information of public interest is routinely produced by several public agencies. At the same time, the use of smartphones and other mobile devices generates an increasing amount of unofficial georeferenced data. Although official data have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6ce18870d4f28017e8be36bd7e53b614
https://seer.ufmg.br/index.php/jidm/article/view/379
https://seer.ufmg.br/index.php/jidm/article/view/379
Autor:
Andrade, Livia Naiara, Vieira, Tatiana Grossi Chquiloff, Lacerda, Wilian Soares, Volpato, Margarete Marin Lordelo, Davis Jr, Clodoveu Augusto
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 8 No. 1 (2013); 78-90
Coffee Science; Vol. 8 Núm. 1 (2013); 78-90
Coffee Science; v. 8 n. 1 (2013); 78-90
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 8 Núm. 1 (2013); 78-90
Coffee Science; v. 8 n. 1 (2013); 78-90
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
The coffee is extremely important activity in southern of Minas Gerais and techniques for estimating acreage, seeking reliable crop forecasts are being intensely investigated. It is presented in this study, an application of Artificial Neural Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::aa85fc7f70160d55181ebe49f9cc1b34
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/363
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/363
Publikováno v:
Advances in Conceptual Modeling: ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM & ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings; 2014, p228-233, 6p