Derin öğrenme yöntemleri ve yapay sinir ağı tabanlı NDVI değerleri ile çeltik bitkisi hastalıkların tespiti/ İrfan Ökten ; İrfan Ökten; danışman Uğur Yüzgeç.

By:

Ökten, İrfan

Language: Turkish Series: Ref | No: 10474125 | Ref | No: 10474125Publisher: Bilecik : Bilecik Şeyh Edebali Üniversitesi 2022Description: XIII, 89 sayfa: resimli; 30 cm. + 1CD-ROMContent type:

metin

Media type:

aracısız

Carrier type:

cilt

Subject(s):

LOC classification:

Tez 773

Online resources:

Click here to access online

Dissertation note: Tez (Doktora) -- Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü Elektronik ve Bilgisayar Mühendisliği Anabilim Dalı, Bilecik, .

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Thesis	Prof. Dr. Azmi Özcan Kütüphanesi			Depo	Tez/773 (Browse shelf(Opens below))					Available			T0000773

Kaynakça var.

İngilizce Eser Adı: Detection of diseases in rice plant with deep learning methods and artificial network based NDVI values.

Tez (Doktora) -- Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü Elektronik ve Bilgisayar Mühendisliği Anabilim Dalı, Bilecik, .

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