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Akademický článek

Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning

Autor: G. Veena, Deepa Gupta, Vani Kanjirangat

Publikováno v: IEEE Access, Vol 11, Pp 138375-138398 (2023)

We propose a novel approach that uses semi-supervised learning to extract triplets from domain-specific texts and create a Knowledge Graph (KG), with a focus on the agricultural domain. Building domain specific knowledge graphs can be challenging due

Externí odkaz: https://doaj.org/article/985cc49512034479ae8bc97c33757601

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Responses of soil enzymatic activity to rice residue management technologies and fertilizer levels in the rice rhizosphere on a clay loam

Autor: G. Veena Madhuri, null V. Sailaja, null T.V. Sridhar

Publikováno v: Ecology, Environment and Conservation. 29:487-491

Crop residues returned to the soil can maintain or enhance soil quality and productivity through favourable effects on soil properties and life-support processes. The field experiment was conducted during the kharif season of 2021-2022 at the Agricul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d68a421fe156158fd711430b4169446a
https://doi.org/10.53550/eec.2023.v29i03s.083

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