A Deep Neural Network Architecture to Model Reference Evapotranspiration Using a Single Input Meteorological Parameter

Hydro-agrological research considers the reference evapotranspiration (ETo), driven by meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo modelling based on a single meteorological parameter would be beneficial in places where the collection of climatic...

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Detalles Bibliográficos
Autores principales: Ravindran, Sowmya Mangalath, Bhaskaran, Santosh Kumar Moorakkal, Ambat, Sooraj Krishnan Nair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486967/
http://dx.doi.org/10.1007/s40710-021-00543-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486967/
http://dx.doi.org/10.1007/s40710-021-00543-x

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