Work

Root-Zone Soil Moisture Forecasting

Year: 2026

Type: article

Abstract: Soil moisture prediction by using LSTM

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20825801

Author: Diaa Sheishah

Institution: University of Szeged

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7165765714

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