DOMATES HASTALIĞI TAHMINI IÇIN GERÇEK ZAMANLI UYGULAMA

Year 2022, Volume: 30 Issue: 1, 90 - 95, 15.04.2022

Doğukan Demirci Esmanur Saraçbaşı Emre Emrah İsmail Uzun Yakup Genç , Kemal Özkan

https://doi.org/10.31796/ogummf.969487

Cited By: 2

https://izlik.org/JA32CU95NP

Abstract

Hem ülkesel hem de dünyanın önemli bir besin kaynağı olan domates bitkisinin hastalıklarının önceden belirlenmesi önemlidir. Bu çalışmada literatürdeki standart veri setlerine ilaveten toplanan saha verileri kullanarak yaygın olan alternaria ve mildiyö hastalıkların tespiti için bir yöntem önerilmiştir. Derin öğrenmede sıklıkla kullanılan Resnet50 mimarisi ile %97 oranında hastalıklar doğru olarak belirlenmiştir. Geliştirilen mimari mobil cihaza uygulanmış sonuçları çiftçilerle paylaşılmıştır.

Keywords

Domates hastalığı , Resnet50 , Mobil uygulama

Supporting Institution

Tübitak

Project Number

3191179

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