Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ivan Lizarazo"'
Autor:
Ivan Lizarazo, Jorge Luis Rodriguez, Omar Cristancho, Felipe Olaya, Marlon Duarte, Flavio Prieto
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100138- (2023)
Potato Verticillium wilt is a harmful and widespread disease which causes losses between 20% and 50% of crop production in Colombia. Diagnostics of Verticillium wilt in potato crops is challenging due that the known symptoms are often associated with
Externí odkaz:
https://doaj.org/article/7e62f7db8d3c4733bff5406be4e423dd
Publikováno v:
Dyna, Vol 89, Iss 220 (2022)
A recurring problem in Geographic-Object Based Image Analysis (GEOBIA) is the need to tune each one of the three phases involved in the process, segmentation, feature selection, and classification. This paper presents the optimization of a GEOBIA-bas
Externí odkaz:
https://doaj.org/article/4d0c3e572c744fda84dd691890f17a16
Publikováno v:
Revista Cartográfica, Iss 104 (2021)
En la actualidad, una gran problemática a nivel global es la acelerada tasa de pérdida de bosques y los efectos que repercuten en la delicada estabilidad del medio ambiente. Colombia posee una de las mayores extensiones de bosque natural en el plan
Externí odkaz:
https://doaj.org/article/b6a59fad7457465f8d51964a97d5506e
Autor:
Salomón Ramírez, Ivan Lizarazo
Publikováno v:
Revista Cartográfica, Iss 94 (2019)
La identificación exacta de Sistemas Convectivos de Mesoescala (SCM) no es una tarea sencilla. En el presente trabajo se aplicaron los algoritmos de aprendizaje de máquina (ML) no paramétricos Máquinas de Soporte Vectorial (SVM), Árboles de Deci
Externí odkaz:
https://doaj.org/article/3f927a9b46d74485b9b34485d64856bb
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 2, Iss 6, Pp 33-40 (2014)
This paper describes the implementation of a prototype REST service for triangulation of point sets collected by mobile GPS receivers. The first objective of this paper is to test functionalities of an application, which exploits mobile devices’ ca
Externí odkaz:
https://doaj.org/article/07740da850cb4c90ae20992b90c8915c
Publikováno v:
DYNA, Volume: 89, Issue: 220, Pages: 43-53, Published: 29 AUG 2022
A recurring problem in Geographic-Object Based Image Analysis (GEOBIA) is the need to tune each one of the three phases involved in the process, segmentation, feature selection, and classification. This paper presents the optimization of a GEOBIA-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ed9f45efe3328eb503366005834c35
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532022000100043&lng=en&tlng=en
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532022000100043&lng=en&tlng=en
Publikováno v:
Revista Geográfica de Chile Terra Australis. 56:71-86
In this article, the purpose is to monitor the Thomas van der Hammen forest reserve, the largest urban forest reserve in Colombia between 1977 and 2017. The analysis focuses on the change that occurs in land cover for the northern zone of the city of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ecf10fff8abcd3c1f97ff85428f6d90
https://doi.org/10.23854/07199562.2020561.hurtado71
https://doi.org/10.23854/07199562.2020561.hurtado71
Autor:
Ivan Lizarazo, J. Leonardo Hurtado
Publikováno v:
Revista Cartográfica, Iss 104 (2021)
En la actualidad, una gran problemática a nivel global es la acelerada tasa de pérdida de bosques y los efectos que repercuten en la delicada estabilidad del medio ambiente. Colombia posee una de las mayores extensiones de bosque natural en el plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d025dda7c4576c025bfee02184c1f24
https://revistasipgh.org/index.php/rcar/article/view/1096
https://revistasipgh.org/index.php/rcar/article/view/1096
Publikováno v:
IGARSS
This paper proposes an automatic method for detection and mapping of Espeletia plants from aerial images acquired by UAV drone. The proposed approach integrated a computer vision for automatic extraction of training zones and tested on three well-est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3669c84602e7af82f2dbbf33080a2a0b
https://doi.org/10.1109/igarss47720.2021.9554263
https://doi.org/10.1109/igarss47720.2021.9554263
Autor:
Ivan Lizarazo, Salomon Ramirez
Publikováno v:
Revista Cartográfica, Iss 94 (2019)
La identificación exacta de Sistemas Convectivos de Mesoescala (SCM) no es una tarea sencilla. En el presente trabajo se aplicaron los algoritmos de aprendizaje de máquina (ML) no paramétricos Máquinas de Soporte Vectorial (SVM), Árboles de Deci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70fb980f0ccf6507b5ee1f7311dfacab
https://doi.org/10.35424/rcarto.i94.347
https://doi.org/10.35424/rcarto.i94.347