Microscopic Fusarium detection and analyses with convolutional neural networks

• Main Author: LIM, HADRIAN PAULO M.
• Format: text
• Published: Archīum Ateneo 2018
• Subjects: Fusarium oxysporum > Molecular genetics; Fungal diseases of plants; Neural networks (Computer science); Image analysis; Computer vision; Diagnostic imaging > Data processing.
• Online Access: https://archium.ateneo.edu/theses-dissertations/162; http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1558970819&currentIndex=0&view=fullDetailsDetailsTab
• Institution: Ateneo De Manila University

Recent advances in computer vision and artifcial intelligence, specifically deep convolutional neural networks, achieved state of the art results in multiple computer vision tasks providing possibilities in using these networks for the rapid detection of Fusarium oxysporum, the main cause of the Fus...