Year: 2025
Type: conference-paper
Abstract: This work presents an architecture called CarboFarm, that encompasses an ontology for the syntactic and semantic integration of heterogeneous databases related to the agricultural domain. By utilizing ontology, we contribute to the standardization and interpretation of domain concepts and add semantic information to support the generation of GHG (Greenhouse Gas) inventories on farms. The Artificial Intelligence (AI) component processes integrated data to derive GHG information. The inventories can identify imbalances between emissions and gas stocks, helping search for solutions to neutralize emissions. We conducted a that using CarboFarm can support the balancing of gases.
Authors: Luiz Santos, Regina Braga, José Maria N. David
Institution: Universidade Federal de Juiz de Fora
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDGs: Climate action, Zero hunger
Open Access status: gold
OpenAlex ID: W4410158456