Identification of Rice Leaf Blight Disease by  Using Image Processing Techniques

Oğuzhan SOYDAN; Alper TANER

Makale detayları

Identification of Rice Leaf Blight Disease by Using Image Processing Techniques

Yazarlar:

Oğuzhan SOYDAN | Alper TANER

Yayıncı:

Ondokuz Mayıs University

Dergi:

Anadolu Journal of Agricultural Sciences 2022 Vol.37 Issue 2, pp.341-360

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

Türkçe

Document ID (Org No.):

2000865754

Sıklık:

Aylık

eISSN:

1308-8769

pISSN:

1308-8750

Anahtar kelimeler:

Özet:

 

In rice plant, accurate and timely detection of diseases helps to start agricultural practices on time and thus reduces economic losses significantly. For this purpose, image processing techniques were used to identify and classify the rice leaf blight disease (Pyricularia oryzae Cav.). In image processing, a clustering method was used for the segmentation of the diseased part, the non-diseased part and the background. Images of rice leaf blight disease were taken both from the ground and with the aid of a drone. Levenberg-Marquardt training algorithm was preferred in artificial neural networks model. While the RMS, R2 and error values of the test data of MEITG proposed for identification were 0.000017, 0.9999 and 0.019%, respectively, they were found as 0.000007, 0.9999 and 0.002% for MERITD. The MCITG and MCRITD models presented for classification were found to have classification success rates of 92.2 percent and 100 percent, respectively. The results obtained for the identification and classification of rice leaf blight disease show the feasibility and effectiveness of the proposed model.

Makale detayları

Identification of Rice Leaf Blight Disease by Using Image Processing Techniques

Yazarlar:

Oğuzhan SOYDAN | Alper TANER

Yayıncı:

Ondokuz Mayıs University

Dergi:

Anadolu Journal of Agricultural Sciences 2022 Vol.37 Issue 2, pp.341-360

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

Türkçe

Document ID (Org No.):

2000865754

Sıklık:

Aylık

eISSN:

1308-8769

pISSN:

1308-8750

Artificial neural networks

Rice leaf blight disease

Disease detection

Sayı

Makale detayları

Identification of Rice Leaf Blight Disease by Using Image Processing Techniques

Yazarlar: Oğuzhan SOYDAN | Alper TANER

Yayıncı: Ondokuz Mayıs University

Dergi: Anadolu Journal of Agricultural Sciences 2022 Vol.37 Issue 2, pp.341-360

Belge Tipi: Makale

Yayın Tarihi: 6/2022

Belge Dili: Türkçe

Document ID (Org No.): 2000865754

Sıklık: Aylık

eISSN: 1308-8769

pISSN: 1308-8750

Artificial neural networks

Rice leaf blight disease

Disease detection

Sayı

Yazarlar:

Oğuzhan SOYDAN | Alper TANER

Yayıncı:

Ondokuz Mayıs University

Dergi:

Anadolu Journal of Agricultural Sciences 2022 Vol.37 Issue 2, pp.341-360

Belge Tipi:

Makale

Yayın Tarihi:

6/2022

Belge Dili:

Türkçe

Document ID (Org No.):

2000865754

Sıklık:

Aylık

eISSN:

1308-8769

pISSN:

1308-8750