Neural Models to Predict Irrigation Needs of a Potato Plantation-Reference-Cited by-同舟云学术

Neural Models to Predict Irrigation Needs of a Potato Plantation

Published:2020-08-29 Issue: Volume: Page:600-613
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Yartu Mercedes,Cambra Carlos^ORCID,Navarro Milagros,Rad Carlos^ORCID,Arroyo Ángel^ORCID,Herrero Álvaro^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-57802-2_58

Reference16 articles.

1. Agricultural Production Crops. https://ec.europa.eu/eurostat/statistics-explained/index.php/Agricultural_production_-_crops#Potatoes_and_sugar_beet . Accessed 02 Sept 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 . Accessed 02 Sept 2020

3. Pereira, L.S., Oweis, T., Zairi, A.: Irrigation management under water scarcity. Agric. Water Manag. 57, 175–206 (2002)

4. Althoff, D., Alvino, F.C.G., Filgueiras, R., Aleman, C.C., da Cunha, F.F.: Evapotranspiration for irrigated agriculture using orbital satellites. Bioscience Journal 35, 670–678 (2019)

5. Shitu, A., Tadda, M., Danhassan, A.: Irrigation water management using smart control systems: a review. Bayero Journal of Engineering and Technology 13, 2449–2539 (2018)

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