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dc.contributor.authorCarbajal, Jhony
dc.contributor.authorQuispe, Grimaldo
dc.contributor.authorChavez-Arias, Heyul
dc.contributor.authorRaymundo-Ibanez, Carlos
dc.contributor.authorDominguez, Francisco
dc.date.accessioned2021-06-02T12:47:04Z
dc.date.available2021-06-02T12:47:04Z
dc.date.issued2019-11-01
dc.identifier.doi10.1109/CONCAPANXXXIX47272.2019.8976963
dc.identifier.urihttp://hdl.handle.net/10757/656305
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.en_US
dc.description.abstractThe incidence of the disease in horticultural crops is one of the important problems that affect the production of fruits, vegetables and flowers. Regular monitoring of crops for early diagnosis and treatment with pesticides or removal of the affected crop is part of the solution to minimize crop loss. The monitoring of crops by human labor is expensive, time consuming, prone to errors due to insufficient knowledge of the disease and highly repetitive at different stages of crop growth. These needs have motivated to design the mobile robot with vision sensors for navigation through the field. The robot has been designed in the Autodesk Inventor software. Programming for navigation is done in the Arduino Mega 2560 tool. Image capture has been performed using the RGB camera. Image processing for the identification of the disease and its representation in a graphical user interface has been performed using an algorithm in MATLAB R2018B that interacts with the Arduino tool through a communication bus. The system developed consists of the design of a prototype that uses simple and cost effective equipment such as Raspberry Pi, RGB camera, two motors and sensors that allow the autonomous fumigation of corn crops.en_US
dc.formatapplication/htmlen_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.urlhttps://ieeexplore.ieee.org/abstract/document/8976963en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectimage processingen_US
dc.subjectpesticide sprayeren_US
dc.subjectRaspberry Pien_US
dc.titleMobile Robot for the Spraying of Corn Crops with autonomous navigation camera for the Plains of the Andesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.journal2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019en_US
dc.description.peerreviewRevisión por pareses_PE
dc.identifier.eid2-s2.0-85084959267
dc.identifier.scopusidSCOPUS_ID:85084959267
dc.source.journaltitle2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
dc.source.volume2019-November
dc.identifier.isni0000 0001 2196 144X


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