A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework - Bari, Bifta Sama; Islam, Md Nahidul; Rashid, Mamunur; Hasan, Md Jahid; Razman, Mohd Azraai Mohd; Musa, Rabiu Muazu; Ab Nasir, Ahmad Fakhri; P.P. Abdul Majeed, Anwar (PeerJ. Computer science, 2021)
Keywords: Accuracy; Agricultural production; Algorithms; Analysis; Artificial Intelligence; Artificial neural networks; Automation; Cable television broadcasting industry; Computer Vision; Crop diseases; Crops; Data Mining and Machine Learning; Deep learning; Diagnosis; Digital cameras; Disease control; Explosions; Faster R-CNN; Feature selection; Food; Food supply; Genetic algorithms; Health aspects; Identification; Image processing; Infection; Machine learning; Medical imaging; Medical research; Medicine, Experimental; Neural networks; Object detection; Plant diseases; Real time; Rice; Rice reaf disease detection; Security management; Signs and symptoms; Support vector machines; Weather; United States; Deep learning; Rice reaf disease detection; Image processing; Faster R-CNN; Object detection