Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Angela María Castaño-Marín"'
Autor:
Angela María Castaño-Marín, Diego Fernando Sánchez-Vívas, Julio Martin Duarte-Carvajalino, Gerardo Antonio Góez-Vinasco, Gustavo Alfonso Araujo-Carrillo
Publikováno v:
AgriEngineering, Vol 5, Iss 1, Pp 325-337 (2023)
Gross primary productivity (GPP) is an essential parameter to assess the efficiency of terrestrial ecosystems on carbon transfer. Although GPP is regularly measured with eddy covariance (EC) systems, these are restricted to the tower footprint area,
Externí odkaz:
https://doaj.org/article/722fd9840b904c899ebd95df783a0046
Autor:
Fabio Ernesto Martínez-Maldonado, Angela María Castaño-Marín, Gerardo Antonio Góez-Vinasco, Fabio Ricardo Marin
Publikováno v:
Climate, Vol 10, Iss 9, p 127 (2022)
Estimating gross primary production (GPP) is important to understand the land–atmosphere CO2 exchange for major agroecosystems. Eddy covariance (EC) measurements provide accurate and reliable information about GPP, but flux measurements are often n
Externí odkaz:
https://doaj.org/article/9f711cec7f4d4725a16ced826b782cb5
Autor:
Fabio Ernesto Martínez-Maldonado, Angela María Castaño-Marín, Gerardo Antonio Góez-Vinasco, Fabio Ricardo Marin
Publikováno v:
Water, Vol 13, Iss 22, p 3223 (2021)
Potato farming is relevant for global carbon balances and greenhouse emissions, of which gross primary productivity (GPP) is one of the main drivers. In this study, the net carbon ecosystem exchange (NEE) was measured using the Eddy Covariance (EC) m
Externí odkaz:
https://doaj.org/article/f611dd869c8e4ed79649727f93a59ca8
Autor:
Julio Martin Duarte-Carvajalino, Elías Alexander Silva-Arero, Gerardo Antonio Góez-Vinasco, Laura Marcela Torres-Delgado, Oscar Dubán Ocampo-Paez, Angela María Castaño-Marín
Publikováno v:
Horticulturae, Vol 7, Iss 7, p 176 (2021)
This work presents quantitative detection of water stress and estimation of the water stress level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and state of the art machine learning algorithms: random decision fore
Externí odkaz:
https://doaj.org/article/3834210ead5d40619246294c5e6b6d8f
Autor:
Angela María Castaño Marín, Nestor Miguel Riaño Herrera, Andrés Javier Peña Quiñones, Víctor Hugo Ramirez Builes, Arley Valencia Salazar, Apolinar Figueroa Casas, Gerardo Antonio Góez Vinasco
Publikováno v:
Acta Agronómica, Vol 66, Iss 1, Pp 27-34 (2017)
This paper presents the conceptualization, methodological adjustment and experimental application of the micrometeorological technique eddy covariance - EC, to measure energy, water vapor and CO2 fluxes in two coffee agroecosystems: the first under f
Externí odkaz:
https://doaj.org/article/2638ea27ebc84df19b0316b3025412e1
Autor:
Oscar Dubán Ocampo-Paez, Laura Marcela Torres-Delgado, Julio Martin Duarte-Carvajalino, Angela María Castaño-Marín, Elías Alexander Silva-Arero, Gerardo Antonio Góez-Vinasco
Publikováno v:
Horticulturae, Vol 7, Iss 176, p 176 (2021)
Horticulturae
Volume 7
Issue 7
Horticulturae
Volume 7
Issue 7
This work presents quantitative detection of water stress and estimation of the water stress level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and state of the art machine learning algorithms: random decision fore
Autor:
Gustavo Alfonso Araujo-Carrillo, Julio Martín Duarte-Carvajalino, Diego Fernando Sánchez-Vivas, Gerardo Antonio Góez-Vinasco, Ángela María Castaño-Marín
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTGross primary productivity (GPP) is an essential parameter to estimate the efficiency of carbon transfer in terrestrial ecosystems. The daily GPP has been monitored in the past using mainly optical satellite imagery. However, GPP has never be
Externí odkaz:
https://doaj.org/article/cf777017c967452191d3d7ebd669b46c
Autor:
Gerardo Antonio Góez-Vinasco, Fabio Ernesto Martínez-Maldonado, Angela María Castaño-Marín, Fabio Ricardo Marin
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Water
Volume 13
Issue 22
Water, Vol 13, Iss 3223, p 3223 (2021)
Universidade de São Paulo (USP)
instacron:USP
Water
Volume 13
Issue 22
Water, Vol 13, Iss 3223, p 3223 (2021)
Potato farming is relevant for global carbon balances and greenhouse emissions, of which gross primary productivity (GPP) is one of the main drivers. In this study, the net carbon ecosystem exchange (NEE) was measured using the Eddy Covariance (EC) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36640997a6102de8db5c50028604d878
Autor:
Andrés Javier Peña Quiñones, Víctor Hugo Ramírez Builes, Apolinar Figueroa Casas, Angela María Castaño Marín, Néstor Miguel Riaño Herrera, Arley Valencia Salazar, Gerardo Antonio Góez Vinasco
Publikováno v:
Acta Agronómica, Vol 66, Iss 1, Pp 27-34 (2017)
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
This paper presents the conceptualization, methodological adjustment and experimental application of the micrometeorological technique eddy covariance - EC, to measure energy, water vapor and CO2 fluxes in two coffee agroecosystems: the first under f
Autor:
Antonio Ortiz-Álvarez, Stanislav Magnitskiy, Elías Alexander Silva-Arero, Caren Rodríguez-Medina, Xavier Argout, Ángela María Castaño-Marín
Publikováno v:
Agronomy, Vol 13, Iss 10, p 2490 (2023)
The objective of this study was to determine Cd accumulation under water-deficit conditions by young cacao plants. The study was conducted under greenhouse conditions. Two full-sib families (IMC67 × PA121 and SCA6 × PA121), obtained through control
Externí odkaz:
https://doaj.org/article/9a10c2fc95014a0b97bfc338c221de2d