Datalogic Model for Image Recognition by Convolutional Neural Network Using Cloud Services

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dc.contributor.authorMazurets, O.
dc.contributor.authorMolchanova, M.
dc.contributor.authorKlimenko, V.
dc.contributor.authorKlopotivskyi, D.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:30:48Z
dc.date.available2024-12-10T18:30:48Z
dc.date.issued2024
dc.description.abstractThe developed database and information system from the research for recognizing potato fruit diseases by a convolutional neural network using cloud services allows for the rapid detection of diseases, which helps farmers make effective decisions on the application of control measures and plant protection. In addition, given its high accuracy (0.96 per 100 training epochs), the software can be used as a tool for research and monitoring plant health in agriculture and for developing new methods and technologies to increase yields and reduce crop losses.
dc.identifier.citationMazurets O., Molchanova M., Klimenko V., Klopotivskyi D. Datalogic Model for Image Recognition by Convolutional Neural Network Using Cloud Services. Proceedings of XXII International Scientific and Practical Conference «Modern Scientific Research: Theoretical and Practical Aspects». May 8-10, 2024. Oslo, Norway. 2024. Pp. 64-68
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17236
dc.language.isoen
dc.titleDatalogic Model for Image Recognition by Convolutional Neural Network Using Cloud Services
dc.typeСтаття
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