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dc.contributor.author
Capraro Fuentes, Flavio Andres  
dc.contributor.author
Tosetti Sanz, Santiago Ramon  
dc.contributor.author
Campillo Manrique, Pedro Lucio  
dc.date.available
2021-10-12T16:06:46Z  
dc.date.issued
2020-02  
dc.identifier.citation
Capraro Fuentes, Flavio Andres; Tosetti Sanz, Santiago Ramon; Campillo Manrique, Pedro Lucio; Sensor Network For Monitoring And Fault Detection In Drip Irrigation Systems Based On Embedded Systems; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 18; 2; 2-2020; 383-391  
dc.identifier.uri
http://hdl.handle.net/11336/143286  
dc.description.abstract
New methodologies in precision irrigation, aimed at monitoring and controlling the irrigation based on the crop water demand, allow to improve the water use efficiency in the agricultural production process. Measuring the soil water content to determine how much and when to irrigate is one way to control the crop irrigation. This work presents the development and setup of a wireless monitoring network of measurement stations based on embedded systems, that concentrate measurement of soil moisture, pressure in the irrigation lines, and water flow. A base station coordinates the communication with the measurement stations, saves the data in a local database and then upstream the data to a web server so the information can be remotely accessed. The design of the measurement stations is based on a microcontroller, MC9S08QE32 from NXP, while the base station is based on a Raspberry Pi3. The communication between the nodes is performed at 470MHz in a mesh mode configuration. In order to show the performance and reliability of the proposed system, results obtained from three irrigation treatments monitoring in a tomato crop are presented.  
dc.format
application/pdf  
dc.language.iso
spa  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
MICROCONTROLLER  
dc.subject
SENSORS  
dc.subject
SOFTWARE  
dc.subject
EMBEDDED SYSTEMS  
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PRECISION AGRICULTURE  
dc.subject.classification
Sistemas de Automatización y Control  
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Sensor Network For Monitoring And Fault Detection In Drip Irrigation Systems Based On Embedded Systems  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-04-28T20:42:54Z  
dc.identifier.eissn
1548-0992  
dc.journal.volume
18  
dc.journal.number
2  
dc.journal.pagination
383-391  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Capraro Fuentes, Flavio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.description.fil
Fil: Tosetti Sanz, Santiago Ramon. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.description.fil
Fil: Campillo Manrique, Pedro Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.journal.title
IEEE Latin America Transactions  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.inaoep.mx/~IEEElat/index.php/transactions/article/view/2964/409  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9085294/  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2020.9085294