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

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

History

Journal

Agricultural Water Management

Volume

307

Article number

109124

Pagination

1-12

Location

Amsterdam, The Netherlands

Publisher DOI

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

Open access

Yes

ISSN

0378-3774

eISSN

1873-2283

Language

Eng

Publication classification

C1 Refereed article in a scholarly journal

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

Licence

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

Journal

Volume

Article number

Pagination

Location

Publisher DOI

Open access

ISSN

eISSN

Language

Publication classification

Publisher

Publication URL

Usage metrics

Categories

Keywords

Licence

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