Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/8524
Full metadata record
DC FieldValueLanguage
dc.rights.licenseBY-NC-ND-
dc.contributor.authorStamenković, Zoran-
dc.contributor.authorRandjić, Siniša-
dc.contributor.authorSantamaria, Ignacio-
dc.contributor.authorMarkovic, Dusan-
dc.contributor.authorVan Vaerenbergh, Steven-
dc.contributor.authorPešović, Uroš-
dc.date.accessioned2020-09-19T15:59:36Z-
dc.date.available2020-09-19T15:59:36Z-
dc.date.issued2018-
dc.identifier.issn2161-2528-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/8524-
dc.description.abstract© 2018 IEEE. A decision support system (DSS) able to protect/treat plants and crops taking into account the temporal and spatial variability of physical, environmental, and agricultural parameters has been described. It is based on remote sensing and the most sophisticated machine learning techniques: Gaussian processes and deep neural networks. An example of knowledge extraction and actionable rule definition has been presented too.-
dc.rightsopenAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.sourceProceedings of the International Spring Seminar on Electronics Technology-
dc.titleDecision Support System for Plant and Crop Treatment and Protection Based on Wireless Sensor Networks-
dc.typeconferenceObject-
dc.identifier.doi10.1109/ISSE.2018.8443682-
dc.identifier.scopus2-s2.0-85053353192-
Appears in Collections:Faculty of Agronomy, Čačak
Faculty of Technical Sciences, Čačak

Page views(s)

221

Downloads(s)

13

Files in This Item:
File Description SizeFormat 
10.1109-ISSE.2018.8443682.pdf482.02 kBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons