Wood identification based on macroscopic images using deep and transfer learning approaches Department of Computer Engineering, Seydişehir Ahmet Cengiz Faculty of Engineering, Necmettin Erbakan University, Konya, Turkey DOI 10.7717/peerj.17021 Academic Editor Aristóteles Góes-Neto Subject Areas Agricultural Science, Data Mining and Machine Learning, Natural Resource Management, Forestry Keywords Wood identification, Transfer learning, ShuffleNet Copyright © Licence This is an open access...