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The offered frameworks are evaluated with a public leaf database. From the simulation results, it is confirmed that the deep CNN-based deep learning framework demonstrates superior classification performance than the handcraft feature based approach.<\/jats:p>","DOI":"10.4018\/ijaeis.2020040104","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T10:22:24Z","timestamp":1582280544000},"page":"44-57","source":"Crossref","is-referenced-by-count":22,"title":["A Comparative Study of Deep Learning Models With Handcraft Features and Non-Handcraft Features for Automatic Plant Species Identification"],"prefix":"10.4018","volume":"11","author":[{"given":"Shamik","family":"Tiwari","sequence":"first","affiliation":[{"name":"UPES University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJAEIS.2020040104-0","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2011.021007"},{"key":"IJAEIS.2020040104-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.03.028"},{"key":"IJAEIS.2020040104-2","unstructured":"Ehsanirad, A., & Kumar, S. 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