Detection of Microconidia in Microscopy Images of Fusarium oxysporum f. sp. cubense Using Image Processing Techniques and Neural Networks

• Main Authors: Abigan, Erinn Giannice T, Cajucom, Luis Gabriel A, Ong, Josh Daniel L, Abu, Patricia Angela R, Estuar, Ma. Regina Justina E
• Format: text
• Published: Archīum Ateneo 2020
• Subjects: image segmentation; microscopy; neural networks; soil; fluorescence; feature extraction; diseases; Fusarium oxysporum f. sp. cubense; microscopy image analysis; convolutional neural networks; microconidia detection; Computer Sciences; Databases and Information Systems; Plant Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/224; https://ieeexplore.ieee.org/document/9334941
• Institution: Ateneo De Manila University

Fusarium oxysporum f. sp. cubense (Foc) is a soilborne fungus and the causative agent of the deadly Fusarium wilt disease in banana plants. Left alone, the fungus is able to survive for years and infect multiple plants through the soil. External symptoms only manifest in late stages of infection, wi...