ET and ET0: Bi-LSTM and HS-Bi-LSTM

Name: ET and ET0: Bi-LSTM and HS-Bi-LSTM
Creator: Xiaohui Yan
Published: 2022-06-28T00:00:00+08:00

Zenodo2022-06-28 更新2026-04-07 收录

蒸散发预测

农业水文时间序列分析

数据链接：

https://zenodo.org/record/6774567 数据链接链接失效反馈

官方服务：

资源简介：

ET and ET0: Bi-LSTM and HS-Bi-LSTM

提供机构：

Xiaohui Yan

创建时间：

2022-06-28

IoT Sensor Node Data

农业物联网

蒸散发预测

The data is collected from the deployed IoT sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics such as soil moisture and soil temperature a

DataCite Commons2024-11-21 更新90

The weather data and ETo of the four stations.

农业灌溉优化

蒸散发预测

The shortage of available water resources and climate change are major factors affecting agricultural irrigation. In order to improve the irrigation water use efficiency, it is necessary to predict th

Figshare2023-04-18 更新40

IoT Sensor Node Data

农业物联网

蒸散发预测

The data is collected from the deployed sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics and environmental parameters, which are essentia

Mendeley Data30

Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (MIROC6-Future period)

气候水文模拟

蒸散发预测

Regridding Global CMIP6 GCMs datasets(0.5 degree) case of MIROC66 Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiat

NIAID Data Ecosystem50

Universal Model for Multi-Factor Forecasting and Estimation of ETo

蒸散发预测

智能农业

Evapotranspiration is a pivotal process in the ecosystem, and accurately forecasting short-term daily reference crop evapotranspiration (ETo) is of paramount importance for real-time irrigation decisi

DataCite Commons2025-05-01 更新40

ET and ET0: Bi-LSTM and HS-Bi-LSTM

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