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#	Name
1	Leonardo Nascimento(leonardo.nascimento@alvorada.ifrs.edu.br)
2	Fedra Kruger(fedra.kruger@alvorada.ifrs.edu.br)
3	Júlia Isadora Rosa(julia.steimmetz@aluno.alvorada.ifrs.edu.br)
4	José Palazzo Oliveira(palazzo@inf.ufrgs.br)

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Reference

#	Reference
1	Almeida, J., Guizzardi, G., Falbo, R., and Sales, T. P. (2019). gufo: a lightweight implementation of the unified foundational ontology (ufo). URL http://purl. org/nemo/doc/gufo.
2	Arnaud, E., Hazekamp, T., Laporte, M.-A., Antezana, E., Andres Hernandez, L., Pot, D., Shrestha, R., Dreher, K., Castiblanco, V., Menda, N., et al. (2022). Crop ontology governance and stewardship framework.
3	Caracciolo, C., Stellato, A., Morshed, A., Johannsen, G., Rajbhandari, S., Jaques, Y., and Keizer, J. (2013). The agrovoc linked dataset. Semantic Web, 4(3):341–348.
4	Chollet, N., Bouchemal, N., and Ramdane-Cherif, A. (2023). Iot-enabled agroecology: Advancing sustainable smart farming through knowledge-based reasoning. In KEOD, pages 190–199.
5	Drury, B., Fernandes, R., Moura, M.-F., and de Andrade Lopes, A. (2019). A survey of semantic web technology for agriculture. Information Processing in Agriculture, 6(4):487–501.
6	Guizzardi, G., Fonseca, C., Benevides, A. B., Almeida, J., Porello, D., and Sales, T. (2018). Endurant types in ontology-driven conceptual modeling: Towards ontouml 2.0. In Conceptual Modeling - 37th International Conference, ER 2018, volume 11157 of Lecture Notes in Computer Science, pages 136–150. Springer.
7	Shrestha, R., Matteis, L., Skofic, M., Portugal, A., McLaren, G., Hyman, G., and Arnaud, E. (2012). Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the crop ontology developed by the crop communities of practice. Frontiers in physiology, 3:326.