Humidity forecasting in a potato plantation using time-series neural models

Author:

Yartu Mercedes,Cambra CarlosORCID,Navarro Milagros,Rad CarlosORCID,Arroyo ÁngelORCID,Herrero ÁlvaroORCID

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference21 articles.

1. Agricultural Production Crops, https://ec.europa.eu/eurostat/statistics-explained/index.php/Agricultural_production_-_crops#Potatoes_and_sugar_beet, last ac-cessed 09/02/2020.

2. Yearly Statistics, https://www.mapa.gob.es/es/estadistica/temas/publicaciones/anuario-de-estadistica/2018/default.aspx?parte=3&capitulo=07&grupo=3&seccion=2, last accessed 09/02/2020.

3. Irrigation management under water scarcity;Pereira;Agric. Water Manag.,2002

4. M. Yartu, C. Cambra, M. Navarro, C. Rad, A. Arroyo, A. Herrero, Neural models to predict irrigation needs of a potato plantation. 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), pp 600–613.

5. Evapotranspi-ration for irrigated agriculture using orbital satellites;Althoff;Biosci. J.,2019

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