Using Mobile Image Recognition System for Nonwood Species Identification in the Field

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dc.contributor.authorShaikh, Noor Ahmed
dc.contributor.authorMallah, Ghulam Ali
dc.contributor.authorKaraş, İsmail Rakıp
dc.contributor.authorAkay, Abdullah Emin
dc.date.accessioned2026-02-08T15:04:48Z
dc.date.available2026-02-08T15:04:48Z
dc.date.issued2018
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractNon-wood forest products (NWFPs) provide important source of income for millions of households world-wide especially for those in rural areas. Especially nonwood plants are main source of income for rural people in many parts of the world. These plants are also consumed by local people for health, nutrition and many other needs. In order to ensure benefits of NWFPs, it is important to identify nonwood plants and determine their population distribution. However, plant identification by using manual method is a complex task to fulfill especially in varying conditions in the field. The leaves are often used to identify plant species based on their visible characteristics. Image recognition systems have been developed to identify plant species by using leaf image. Comparing manual plant identification systems, image recognition systems are easier and, in most cases, more accurate alternatives. In recent years, some mobile applications have been developed to assist people to identify plants by taking pictures of their leaves using smart phones. In this study, it was aimed to investigate the capabilities of the most common mobile image recognition systems in identification of plant species based on leaf images.
dc.identifier.doi10.38088/jise.498910
dc.identifier.endpage50
dc.identifier.issn2602-4217
dc.identifier.issue2
dc.identifier.startpage40
dc.identifier.urihttps://doi.org/10.38088/jise.498910
dc.identifier.urihttps://hdl.handle.net/20.500.12885/4197
dc.identifier.volume2
dc.language.isoen
dc.publisherBursa Teknik Üniversitesi
dc.relation.ispartofJournal of Innovative Science and Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20260207
dc.subjectEngineering
dc.subjectMühendislik
dc.titleUsing Mobile Image Recognition System for Nonwood Species Identification in the Field
dc.typeReview Article

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