Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning modelsMendeley Data

Estimating and forecasting daily reference crop evapotranspiration in China with temperature-driven deep learning modelsMendeley Data

Accurately estimating and forecasting short-term daily reference crop evapotranspiration (ETo) is crucial for real-time irrigation decision-making and regional agricultural water management. Although the Penman-Monteith formula shows high accuracy, the requirement for excessive meteorological factor...

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Bibliographic Details
Main Authors: Jia Zhang, Yimin Ding, Lei Zhu, Yukuai Wan, Mingtang Chai, Pengpeng Ding
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Agricultural Water Management
Subjects:
Gated Recurrent Unit (GRU)
Long Short-Term Memory (LSTM)
Public weather forecast
15-day-ahead
Limited meteorological input
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377424006048
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