Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection

Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection

Plant diseases, particularly in staple crops like rice, significantly affect the stability of rice production in Indonesia. Crop failure caused by rice plant diseases present a critical challenge for farmers. Early diagnosis is crucial for preventing and managing rice diseases, as it facilitates mo...

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Bibliographic Details
Main Authors:	Halim Pujiono, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fitri Ana Wati
Format:	Article
Language:	English
Published:	P3M Politeknik Negeri Banjarmasin 2024-12-01
Series:	Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Subjects:	faster r-cnn grid search deep learning hyperparameter tuning rice plant disease detection
Online Access:	https://eltikom.poliban.ac.id/index.php/eltikom/article/view/1165
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