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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...
Autores principales: | Bo, Qiuyu, Cheng, Wuqun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
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 |
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