Data Representation in Crop Cultivation Events
The article details the creation of the TomatoEventOntology, encompassing events associated with tomato cultivation. These events are categorized into two groups: domain events, which signify the various stages tomatoes undergo during their growth, and emergency events, which denote critical issues that could potentially reduce yields if left unattended. The TomatoEventOntology is designed to seamlessly integrate with ZEMELA, an intelligent agricultural ecosystem. It incorporates intelligent components that utilize the ontology to warn farmers about pertinent events in tomato cultivation, thereby enhancing agricultural efficiency.
Authors
- Asya Stoyanova-Doycheva (ORCID: https://orcid.org/0000-0002-0129-5002)
- Ivan Stoyanov (ORCID: https://orcid.org/0000-0002-1939-3479)
- Georgi Cholakov (ORCID: https://orcid.org/0000-0001-7971-8434)
- Emil Doychev (ORCID: https://orcid.org/0000-0002-0306-0311)
Institutions
- Plovdiv University (BG)
- Bulgarian Academy of Sciences (BG)
- Institute of Information and Communication Technologies (BG)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/is61756.2024.10705218
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00