Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery | Zendy

Noor Abdulhafed Sehree | Zendy; Abdulsattar Mohammed Khidhir | Zendy

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Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery

Author(s) -

Noor Abdulhafed Sehree,

Abdulsattar Mohammed Khidhir

Publication year - 2022

Publication title -

indonesian journal of electrical engineering and computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.241

H-Index - 17

eISSN - 2502-4760

pISSN - 2502-4752

DOI - 10.11591/ijeecs.v27.i1.pp92-101

Subject(s) - artificial intelligence , computer science , convolutional neural network , deep learning , aerial image , aerial imagery , metric (unit) , transfer of learning , artificial neural network , remote sensing , photogrammetry , field (mathematics) , pattern recognition (psychology) , contextual image classification , computer vision , image (mathematics) , engineering , geography , mathematics , operations management , pure mathematics

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