Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

Nguyen, D; de Voil, P; Potgieter, A; Dang, YP; Orton, TG; Nguyen, Duc Thanh; Nguyen, TT; Chapman, SC

Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

https://hdl.handle.net/10779/DRO/DU:28200350

journal contribution

posted on 2025-01-14, 00:55 authored by D Nguyen, P de Voil, A Potgieter, YP Dang, TG Orton, Duc Thanh NguyenDuc Thanh Nguyen, TT Nguyen, SC Chapman

Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

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DOI - Is version of https://doi.org/10.1016/j.agwat.2024.109124

Location

Amsterdam, The Netherlands

Open access

Yes

Language

Eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Agricultural Water Management

Volume

307

Article number

109124

Pagination

1-12

ISSN

0378-3774

eISSN

1873-2283

Publisher

Elsevier BV

Publication URL

https://doi.org/10.1016/j.agwat.2024.109124

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Keywords

Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)Generic health relevance Cross-modal attention Transformer Machine learning APSIM Soil Plant Plant available water content

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CC BY 4.0

Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

History

Related Materials

Location

Open access

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Volume

Article number

Pagination

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eISSN

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