Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Juan Antonio Bellido-Jiménez"'
Autor:
Juan Antonio Bellido-Jiménez, Javier Estévez, Joaquin Vanschoren, Amanda Penélope García-Marín
Publikováno v:
Agronomy, Vol 12, Iss 3, p 656 (2022)
Accurately forecasting reference evapotranspiration (ET0) values is crucial to improve crop irrigation scheduling, allowing anticipated planning decisions and optimized water resource management and agricultural production. In this work, a recent sta
Externí odkaz:
https://doaj.org/article/93c0729951b04dc489b754703f4ea4f1
Publikováno v:
Atmosphere, Vol 12, Iss 9, p 1158 (2021)
The presence of missing data in hydrometeorological datasets is a common problem, usually due to sensor malfunction, deficiencies in records storage and transmission, or other recovery procedures issues. These missing values are the primary source of
Externí odkaz:
https://doaj.org/article/24025d4ff7a44b36b4abf67bddf9e1c4
Publikováno v:
Water, Vol 12, Iss 7, p 1909 (2020)
Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present many limitations due to t
Externí odkaz:
https://doaj.org/article/4128c9de77d94706b71d8de28158c37a
Autor:
Juan Antonio Bellido-Jiménez, Javier Estévez, Joaquin Vanschoren, Amanda Penélope García-Marín
Publikováno v:
Agronomy, 12(3):656. Multidisciplinary Digital Publishing Institute (MDPI)
Agronomy 12(3), 656 (2022)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Agronomy; Volume 12; Issue 3; Pages: 656
Agronomy 12(3), 656 (2022)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Agronomy; Volume 12; Issue 3; Pages: 656
Accurately forecasting reference evapotranspiration (ET0) values is crucial to improve crop irrigation scheduling, allowing anticipated planning decisions and optimized water resource management and agricultural production. In this work, a recent sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd4202e81844e2af24cc1d787cc33014
http://www.scopus.com/inward/record.url?scp=85126464849&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85126464849&partnerID=8YFLogxK
Publikováno v:
The 3rd International Electronic Conference on Atmospheric Sciences.
One of the most crucial variables in Agricultural Meteorology is Solar Radiation (Rs), although it is measured in a very limited number of weather stations due to its high cost in both installation and maintenance. Moreover, the quality of the data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b4e7e56612256aea6db7fb40734bac
https://doi.org/10.3390/ecas2020-08116
https://doi.org/10.3390/ecas2020-08116
Publikováno v:
Water 12(7), 1909 (2020)
Helvia: Repositorio Institucional de la Universidad de Córdoba
Universidad de Córdoba
Water
Volume 12
Issue 7
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Water, Vol 12, Iss 1909, p 1909 (2020)
Helvia: Repositorio Institucional de la Universidad de Córdoba
Universidad de Córdoba
Water
Volume 12
Issue 7
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Water, Vol 12, Iss 1909, p 1909 (2020)
Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present many limitations due to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfec015b0e149d51713f0c4f651caa98
http://hdl.handle.net/10396/20293
http://hdl.handle.net/10396/20293
Publikováno v:
Applied Energy. 298:117211
The measure of solar radiation is costly, as well as its maintenance and calibration needs; therefore, reliable datasets are scarce. In this work, several machine learning models to predict solar radiation have been developed and assessed at nine loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8bd9f7633591668b53987a0f8a8b23a
https://doi.org/10.1016/j.apenergy.2021.117211
https://doi.org/10.1016/j.apenergy.2021.117211
Publikováno v:
Agricultural Water Management. 245:106558
The estimation of Reference Evapotranspiration (ET0) is crucial to estimate crop water requirements, especially in developing countries and areas with scarce water resources. In these regions, the impossibility of collecting all the required data to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f353eaf0419804f2f3e92377af9770
https://doi.org/10.1016/j.agwat.2020.106558
https://doi.org/10.1016/j.agwat.2020.106558