Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ivan F. Mondragon"'
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3752 (2023)
UAV-based multispectral imagery was used to characterize and associate the canopy features of the Moriche palm with the maturity state of its fruits, by correlating variations in the palm’s reflectance at different wavelengths throughout the phenol
Externí odkaz:
https://doaj.org/article/6e4bf70269f4446cac41674a5956474f
Autor:
Daniel Bonilla, Manuela Bravo, Stephany P. Bonilla, Angela M. Iragorri, Diego Mendez, Ivan F. Mondragon, Catalina Alvarado-Rojas, Julian D. Colorado
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 770 (2023)
Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients. In this context, physical rehabilitation plays a fundamental role for gradually recov
Externí odkaz:
https://doaj.org/article/b879e814cbc74600b9b8e5ba628534a4
Autor:
Andres F. Duque, Diego Patino, Julian D. Colorado, Eliel Petro, Maria C. Rebolledo, Ivan F. Mondragon, Natalia Espinosa, Nelson Amezquita, Oscar D. Puentes, Diego Mendez, Andres Jaramillo-Botero
Publikováno v:
Sensors, Vol 23, Iss 13, p 5917 (2023)
The use of Unmanned Aerial Vehicle (UAV) images for biomass and nitrogen estimation offers multiple opportunities for improving rice yields. UAV images provide detailed, high-resolution visual information about vegetation properties, enabling the ide
Externí odkaz:
https://doaj.org/article/f18632447a204ec381eb0b420fe0f5ee
Autor:
Carolina Medicis, Sergio Gonzalez, Yezid A. Alvarado, Hermes A. Vacca, Ivan F. Mondragon, Rodolfo García, Giovanni Hernandez
Publikováno v:
Materials, Vol 15, Iss 18, p 6326 (2022)
Several recent studies have attempted to formulate printable cementitious materials to meet the printing requirements, but these materials are designed to work with specific printing equipment and printing configurations. This paper aims to systemati
Externí odkaz:
https://doaj.org/article/4b0536a7b6a84a799a647e4ac17b6b69
Publikováno v:
Forests, Vol 13, Iss 5, p 655 (2022)
This paper presents an integrated aerial system for the identification of Amazonian Moriche palm (Mauritia flexuosa) in dense forests, by analyzing the UAV-captured RGB imagery using a Mask R-CNN deep learning approach. The model was trained with 478
Externí odkaz:
https://doaj.org/article/83604a7758b54249b4a6a1408fa061bb
Autor:
Colorado, Daniel Bonilla, Manuela Bravo, Stephany P. Bonilla, Angela M. Iragorri, Diego Mendez, Ivan F. Mondragon, Catalina Alvarado-Rojas, Julian D.
Publikováno v:
Bioengineering; Volume 10; Issue 7; Pages: 770
Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients. In this context, physical rehabilitation plays a fundamental role for gradually recov
Autor:
Jaramillo-Botero, Andres F. Duque, Diego Patino, Julian D. Colorado, Eliel Petro, Maria C. Rebolledo, Ivan F. Mondragon, Natalia Espinosa, Nelson Amezquita, Oscar D. Puentes, Diego Mendez, Andres
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 5917
The use of Unmanned Aerial Vehicle (UAV) images for biomass and nitrogen estimation offers multiple opportunities for improving rice yields. UAV images provide detailed, high-resolution visual information about vegetation properties, enabling the ide
Autor:
Martha Manrique, Iván F. Mondragón, Leonardo Flórez-Valencia, Luisa Montoya, Ananías García, Carmen Alicia Mera, Angelika Kuhlmann, Fabricio Guillén, Michelle Cortés, María Lucía Gutiérrez Gómez
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Currently, multiple tools exist to teach and learn anatomy, but finding an adequate activity is challenging. However, it can be achieved through haptic experiences, where motivation is the means of a significant learning process.
Externí odkaz:
https://doaj.org/article/4f80d3e992d24701bc96f02d2b168e37
Autor:
Ivan F. Mondragon Pascual Campoy, José R. Valverde, Rafael P. Mellado, Clara A. García-Herrero, Sonia Gullón
Publikováno v:
BMC Microbiology, Vol 19, Iss 1, Pp 1-13 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
instname
BMC Microbiology
Digital.CSIC. Repositorio Institucional del CSIC
instname
BMC Microbiology
[Background] Streptomyces lividans is an appealing host for the production of proteins of biotechnological interest due to its relaxed exogenous DNA restriction system and its ability to secrete proteins directly to the medium through the major Sec o
Autor:
Mc. Rebolledo, Diego Patino, Julian Colorado, Carol Martinez, Eliel Petro, Carlos A. Devia P, Ivan F. Mondragon B, Juan P. Rojas B
Publikováno v:
2018 International Conference on Unmanned Aircraft Systems (ICUAS).
In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive syst