MAEVa: A hybrid approach for matching agroecological experiment variables

Source variables or observable properties used to describe agroecological experiments are heterogeneous, nonstandardized, and multilingual, which makes them challenging to understand, explain, and use in cropping system modeling and multicriteria evaluations of agroecological system performance. Dat...

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Autors principals:	Oussama Mechhour, Sandrine Auzoux, Clément Jonquet, Mathieu Roche
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-12-01
Col·lecció:	Natural Language Processing Journal
Matèries:	Observable properties Corpus-based similarity Hybrid-based similarity Pretrained Language Models (PLMs) Large Language Models (LLMs)
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2949719125000561
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