Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/1480
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dc.contributor.authorABABII, Victoren_US
dc.contributor.authorSUDACEVSCHI, Vioricaen_US
dc.contributor.authorMUNTEANU, Silviaen_US
dc.contributor.authorAXENTE, Ionen_US
dc.date.accessioned2022-11-09T10:40:39Z-
dc.date.available2022-11-09T10:40:39Z-
dc.date.issued2022-
dc.identifier.urihttp://cris.utm.md/handle/5014/1480-
dc.description.abstractThis elaboration is part of the field of Smart Agriculture, in particular it is intended to develop autonomous plant systems by applying chemical plant protection compounds to places affected by pests. The system is developed based on two models for data processing: a neural network for real-time processing and recognition of video images, which ensures the location of areas affected by pests, and a membrane computing model that ensures the translation of absolute location coordinates of affected areas of pests in positioning the chemical application system performed by the Delta arm.en_US
dc.language.isoenen_US
dc.subjectSmart Agriculture, chemical plant protection, areas affected by pestsen_US
dc.titleAgroBot: Intelligent Robotic System for Crop Maintenanceen_US
dc.typeAwarden_US
dc.relation.conferenceInventica 2022en_US
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.orcid0000-0002-0769-8144-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
Appears in Collections:02-Silver Medals
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