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Capítulo de Libro
Smart Agriculture Based on Cyber-Physical Systems
dc.creator | Larios Marín, Diego Francisco | es |
dc.creator | Molina Cantero, Francisco Javier | es |
dc.date.accessioned | 2022-05-26T15:17:55Z | |
dc.date.available | 2022-05-26T15:17:55Z | |
dc.date.issued | 2022-01 | |
dc.identifier.citation | Larios Marín, D.F., y Molina Cantero, F.J. (2022). Smart Agriculture Based on Cyber-Physical Systems. En AI knowledge transfer from the university to society: applications in high-impact sectors (pp. 104-108). Estados Unidos: Taylor and Francis. | |
dc.identifier.isbn | 9781003276609 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133710 | |
dc.description.abstract | The general objective of the project is to develop a cyber-physical system based on low-cost portable multispectral IoT nodes and Artificial Intelligence that allows the most relevant parameters that influence olive quality to be measured in a simple and economical way, with the benefit of assisting the farmer in making a decision about when to collect the olive from the olive tree and its processing for production in both table olives and olive oil. | es |
dc.format | application/pdf | es |
dc.format.extent | 5 p. | es |
dc.language.iso | eng | es |
dc.publisher | Taylor and Francis | es |
dc.relation.ispartof | AI knowledge transfer from the university to society: applications in high-impact sectors | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Smart Agriculture Based on Cyber-Physical Systems | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://www.taylorfrancis.com/books/oa-mono/10.1201/9781003276609/ai-knowledge-transfer-university-society-jos%C3%A9-guadix-mart%C3%ADn-milica-lilic-marina-rosales-mart%C3%ADnez | es |
dc.identifier.doi | 10.1201/9781003276609 | es |
dc.contributor.group | Universidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industrial | es |
dc.publication.initialPage | 104 | es |
dc.publication.endPage | 108 | es |
dc.relation.publicationplace | Estados Unidos | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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molina-cantero_2022_smart.pdf | 112.2Kb | ![]() | Ver/ | |