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Rodriguez Diaz, J A
~ 37000  Ergebnisse:
Personensuche X
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1

Attention is all water need: Multistep time series irrigati..:

González Perea, R. ; Camacho Poyato, E. ; Rodríguez Díaz, J.A.
Computers and Electronics in Agriculture.  218 (2024)  - p. 108723 , 2024
Link: https://doi.org/10.1016/..
 
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2

New memory-based hybrid model for middle-term water demand ..:

González Perea, R. ; Fernández García, I. ; Camacho Poyato, E..
Agricultural Water Management.  284 (2023)  - p. 108367 , 2023
Link: https://doi.org/10.1016/..
 
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3

A deep learning model for mapping the perturbation in press..:

Derardja, Bilal ; Fratino, Umberto ; Lamaddalena, Nicola..
Computers and Electronics in Agriculture.  199 (2022)  - p. 107136 , 2022
Link: https://doi.org/10.1016/..
 
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4

Forecasting of applied irrigation depths at farm level for ..:

González Perea, R. ; Camacho Poyato, E. ; Rodríguez Díaz, J.A.
Agricultural Water Management.  256 (2021)  - p. 107068 , 2021
Link: https://doi.org/10.1016/..
 
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5

The reina study: Effects on the lipid profile of pitavastat..:

Rodriguez, A. Diaz ; Rodríguez, E. Mendez ; Álvarez, J. Capón...
Atherosclerosis.  315 (2020)  - p. e198 , 2020
Link: https://doi.org/10.1016/..
 
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6

The reina study: Effects on safety of pitavastatin treatmen..:

Rodriguez, A. Diaz ; García, N. Crespo ; Álvarez, A. Fernández...
Atherosclerosis.  315 (2020)  - p. e198 , 2020
Link: https://doi.org/10.1016/..
 
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7

Comprehensive sizing methodology of smart photovoltaic irri..:

Mérida García, A. ; González Perea, R. ; Camacho Poyato, E...
Agricultural Water Management.  229 (2020)  - p. 105888 , 2020
Link: https://doi.org/10.1016/..
 
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8

Treatment of hypercholesterolemia in the secondary preventi..:

Rodriguez, A. Diaz ; Fernández, B. Díaz ; García, N. Crespo...
Atherosclerosis.  315 (2020)  - p. e198 , 2020
Link: https://doi.org/10.1016/..
 
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9

Diagnosis of aerogenic dyslipidemia in primary care in Spai:

Rodriguez, A. Diaz ; Álvarez, J. Capón ; Estrada, C. Cuello...
Atherosclerosis.  315 (2020)  - p. e197-e198 , 2020
Link: https://doi.org/10.1016/..
 
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10

Prediction of irrigation event occurrence at farm level usi..:

González Perea, R. ; Camacho Poyato, E. ; Montesinos, P..
Computers and Electronics in Agriculture.  157 (2019)  - p. 173-180 , 2019
Link: https://doi.org/10.1016/..
 
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11

Comparing the environmental and economic impacts of on- or ..:

Mérida García, A. ; Gallagher, J. ; McNabola, A....
Renewable Energy.  140 (2019)  - p. 895-904 , 2019
Link: https://doi.org/10.1016/..
 
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12

Prediction of applied irrigation depths at farm level using..:

González Perea, R. ; Camacho Poyato, E. ; Montesinos, P..
Agricultural Water Management.  206 (2018)  - p. 229-240 , 2018
Link: https://doi.org/10.1016/..
 
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13

Hydro-power energy recovery in pressurized irrigation netwo..:

García Morillo, J. ; McNabola, A. ; Camacho, E...
Agricultural Water Management.  204 (2018)  - p. 17-27 , 2018
Link: https://doi.org/10.1016/..
 
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14

Coupling irrigation scheduling with solar energy production..:

Mérida García, A. ; Fernández García, I. ; Camacho Poyato, E...
Journal of Cleaner Production.  175 (2018)  - p. 670-682 , 2018
Link: https://doi.org/10.1016/..
 
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15

Optimal Design of Pressurized Irrigation Networks to Minimi..:

Fernández García, I. ; Montesinos, P. ; Camacho Poyato, E..
Water Resources Management.  31 (2017)  6 - p. 1995-2010 , 2017
Link: https://doi.org/10.1007/..
 
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