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dc.contributor.authorKamilaris, A.
dc.contributor.authorPrenafeta-Boldú, F. X.
dc.contributor.otherProducció Animalca
dc.date.accessioned2020-05-25T13:46:25Z
dc.date.available2020-05-25T13:46:25Z
dc.date.issued2018-06-25
dc.identifier.citationKamilaris, A., and F. X. Prenafeta-Boldú. 2018. "A Review Of The Use Of Convolutional Neural Networks In Agriculture". The Journal Of Agricultural Science 156 (3): 312-322. Cambridge University Press (CUP). doi:10.1017/s0021859618000436.ca
dc.identifier.issn0021-8596ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/815
dc.description.abstractDeep learning (DL) constitutes a modern technique for image processing, with large potential. Having been successfully applied in various areas, it has recently also entered the domain of agriculture. In the current paper, a survey was conducted of research efforts that employ convolutional neural networks (CNN), which constitute a specific class of DL, applied to various agricultural and food production challenges. The paper examines agricultural problems under study, models employed, sources of data used and the overall precision achieved according to the performance metrics used by the authors. Convolutional neural networks are compared with other existing techniques, and the advantages and disadvantages of using CNN in agriculture are listed. Moreover, the future potential of this technique is discussed, together with the authors’ personal experiences after employing CNN to approximate a problem of identifying missing vegetation from a sugar cane plantation in Costa Rica. The overall findings indicate that CNN constitutes a promising technique with high performance in terms of precision and classification accuracy, outperforming existing commonly used image-processing techniques. However, the success of each CNN model is highly dependent on the quality of the data set used.ca
dc.format.extent29ca
dc.language.isoengca
dc.publisherCambridge University Pressca
dc.relation.ispartofJournal of Agricultural Scienceca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleA review of the use of convolutional neural networks in agricultureca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.terms6 mesosca
dc.relation.projectIDEC/H2020/665919/EU/Opening Sphere UAB-CEI to PostDoctoral Fellows/P-SPHEREca
dc.subject.udc63ca
dc.identifier.doihttps://doi.org/10.1017/S0021859618000436ca
dc.contributor.groupGestió Integral de Residus Orgànicsca


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