Intelligent Control of Agricultural Irrigation through Water Demand Prediction Based on Artificial Neural Network

In irrigated areas, the intelligent management and scientific decision-making of agricultural irrigation are premised on the accurate estimation of the ecological water demand for different crops under different spatiotemporal conditions. However, the existing estimation methods are blind, slow, or...

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Detalles Bibliográficos
Autores principales: Bo, Qiuyu, Cheng, Wuqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632377/
https://www.ncbi.nlm.nih.gov/pubmed/34858494
http://dx.doi.org/10.1155/2021/7414949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632377/
https://www.ncbi.nlm.nih.gov/pubmed/34858494
http://dx.doi.org/10.1155/2021/7414949

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