Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data

Md. Samiul Basir, Samuel Noel, Dennis Buckmaster, Muhammad Ashik-E-Rabbani

Open source

DOI: 10.3390/agriculture14030333
Published: 2024-02-20
Container: Agriculture
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/agriculture14030333,
  title = {Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data},
  author = {Md. Samiul Basir and Samuel Noel and Dennis Buckmaster and Muhammad Ashik-E-Rabbani},
  year = {2024},
  journal = {Agriculture},
  doi = {10.3390/agriculture14030333},
  url = {https://doi.org/10.3390/agriculture14030333}
}

RIS

TY  - JOUR
TI  - Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data
AU  - Md. Samiul Basir
AU  - Samuel Noel
AU  - Dennis Buckmaster
AU  - Muhammad Ashik-E-Rabbani
PY  - 2024
JO  - Agriculture
DO  - 10.3390/agriculture14030333
UR  - https://doi.org/10.3390/agriculture14030333
ER  -

APA

Basir, M. S., Noel, S., Buckmaster, D., & Ashik-E-Rabbani, M. (2024). Enhancing Subsurface Soil Moisture Forecasting: A Long Short-Term Memory Network Model Using Weather Data. Agriculture. https://doi.org/10.3390/agriculture14030333

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crossref · retrieved 2026-09-26T00:39:25.467Z