Artificial Intelligence in Smart Agriculture: Modified Evolutionary Optimization Approach for Plant Disease Identification

Jalal Sadoon Hameed Al-Bayati, Burak Berk Ustundag

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

7 Atıf (Scopus)

Özet

Apple leaf disease is a critical factor affecting the production and consistency of apples. Typically, the current diagnostic equipment requires significant time to diagnose diseases; thus, farmers also overlook the best opportunity to avoid and cure diseases. Detecting apple leaf diseases is a significant research issue, and its primary goal is to find an appropriate technique for diagnosing leaf diseases. This article attempted to suggest a way to diagnose apple plant leaf disease using the Deep Neural Network (DNN). The architecture of the PDDS (Plant Disease Detection System) is planned. The Robust Speed Up Feature (SURF), which allows achieving greater identification and classification precision, is used to remove functionalities and to refine the Modified Grasshopper Optimization Algorithm (MGOA). Classification parameters such as accuracy, retention, F-measure, mistake, and accuracy are measured, and a comparative review shows the efficiency of the proposed approach.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728190907
DOI'lar
Yayın durumuYayınlandı - 22 Eki 2020
Etkinlik4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Istanbul, Turkey
Süre: 22 Eki 202024 Eki 2020

Yayın serisi

Adı4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings

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???event.eventtypes.event.conference???4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot22/10/2024/10/20

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Publisher Copyright:
© 2020 IEEE.

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