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Bone mass density estimation: Archimede's principle versus automatic X-ray histogram and edge detection technique in ovariectomized rats treated with germinated brown rice bioactives by Muhammad Sani, Ismaila, Ismail, Maznah, Mahmud, Rozi, Esmaile, Maher Faik, Abu Bakar @ Zakaria, Md Zuki

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A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework by Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Ahmad Fakhri, Ab. Nasir, Majeed, Anwar P.P. Abdul

“…The robustness of the Faster R-CNN model is enhanced by training the model with publicly available online and own real-field rice leaf datasets. The proposed deep-learning-based approach was observed to be effective in the automatic diagnosis of three discriminative rice leaf diseases including rice blast, brown spot, and hispa with an accuracy of 98.09%, 98.85%, and 99.17% respectively. …”
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