Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN

Koksal Kapucuoglu; Murvet Kirci

doi:10.23919/ELECO54474.2021.9677637

Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN

Koksal Kapucuoglu
, Murvet Kirci

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92% to 98%.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	373-377
Sayfa sayısı	5
ISBN (Elektronik)	9786050114379
DOI'lar	https://doi.org/10.23919/ELECO54474.2021.9677637
Yayın durumu	Yayınlandı - 2021
Etkinlik	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Türkiye Süre: 25 Kas 2021 → 27 Kas 2021

Yayın serisi

Adı	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Ülke/Bölge	Türkiye
Şehir	Virtual, Bursa
Periyot	25/11/21 → 27/11/21

Bibliyografik not

Publisher Copyright:
© 2021 Chamber of Turkish Electrical Engineers.

Belgeye Erişim

10.23919/ELECO54474.2021.9677637

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kapucuoglu, K., & Kirci, M. (2021). Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 (pp. 373-377). (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO54474.2021.9677637

@inproceedings{01a077a0f26c4d42af2cb0cdd8d786ea,

title = "Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN",

abstract = "In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92\% to 98\%.",

author = "Koksal Kapucuoglu and Murvet Kirci",

note = "Publisher Copyright: {\textcopyright} 2021 Chamber of Turkish Electrical Engineers.; 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 ; Conference date: 25-11-2021 Through 27-11-2021",

year = "2021",

doi = "10.23919/ELECO54474.2021.9677637",

language = "English",

series = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "373--377",

booktitle = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

address = "United States",

}

Kapucuoglu, K & Kirci, M 2021, Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN. in 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 373-377, 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Türkiye, 25/11/21. https://doi.org/10.23919/ELECO54474.2021.9677637

Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN. / Kapucuoglu, Koksal; Kirci, Murvet.
2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 373-377 (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN

AU - Kapucuoglu, Koksal

AU - Kirci, Murvet

PY - 2021

Y1 - 2021

N2 - In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92% to 98%.

AB - In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92% to 98%.

UR - https://www.scopus.com/pages/publications/85125286591

U2 - 10.23919/ELECO54474.2021.9677637

DO - 10.23919/ELECO54474.2021.9677637

M3 - Conference contribution

AN - SCOPUS:85125286591

T3 - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

SP - 373

EP - 377

BT - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

Kapucuoglu K, Kirci M. Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN. In 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 373-377. (2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021). doi: 10.23919/ELECO54474.2021.9677637

Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap