RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust.

Carlos Suarez, David Griol, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Carlos SuarezDepartamento de Telemática, Facultad de Ingeniería Electrónica y Telecomunicaciones, Universidad del Cauca, Calle 5 No. 4-70, Popayán 190002, Colombia.

David GriolDepartment of Software Engineering, University of Granada, CITIC-UGR, Periodista Daniel Saucedo Aranda S/N, 18071 Granada, Spain.

Cristhian FigueroaDepartamento de Telemática, Facultad de Ingeniería Electrónica y Telecomunicaciones, Universidad del Cauca, Calle 5 No. 4-70, Popayán 190002, Colombia.ORCID 0000-0001-6697-886X

Juan Carlos CorralesDepartamento de Telemática, Facultad de Ingeniería Electrónica y Telecomunicaciones, Universidad del Cauca, Calle 5 No. 4-70, Popayán 190002, Colombia.ORCID 0000-0002-5608-9097

David Camilo CorralesDepartamento de Telemática, Facultad de Ingeniería Electrónica y Telecomunicaciones, Universidad del Cauca, Calle 5 No. 4-70, Popayán 190002, Colombia.ORCID 0000-0003-4717-3040

Funding

System based on knowledge engineering for the agroecological management of coffee rust grant 823 - Formation of high-level human capital for the regions - Cauca

6 · The paper itself

Abstract

Crop disease management in smart agriculture involves applying and using new technologies to reduce the impact of diseases on the quality of products. Coffee rust is a disease that factors such as poor agronomic management activities and climate conditions may favor. Therefore, it is crucial to identify the relationships between these factors and this disease to learn how to face its consequences and build intelligent systems to provide appropriate management or help farmers and experts make decisions accordingly. Nevertheless, there are no studies in the literature that propose ontologies to model these factors and coffee rust. This paper presents a new ontology called

Indexed as

BasidiomycotaPlant DiseasesAgricultureClimateWeathercoffeeontologiespest and disease managementrustsensorssmart agriculturesoftware applicationsweather

Identifiers

PMID36559966

DOI10.3390/s22249598

PMCPMC9787676

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LicenceCC BY

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