Analysis of the Effects of Microscopy Techniques on the Performances of Convolutional Neural Network Architectures in Microscopic Fusarium Microconidia Detection

• 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 2021
• Subjects: Meters; Fungi; Mechatronics; Infectious diseases; Microscopy; Crops; Computer architecture; microscopy image analysis; microconidia detection; convolutional neural networks; Fusarium oxysporum f. sp. cubense; Computer Sciences; Diseases; Microbiology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/239; https://ieeexplore.ieee.org/abstract/document/9591055
• Institution: Ateneo De Manila University

Fusarium wilt, a disease afflicting banana plants, is caused by the soilborne fungus Fusarium oxysporum f. sp. cubense or Foc. Upon entering a plant, Foc attacks the vascular system of the host. Infected plants show symptoms late, when Foc may already be widespread both in the plant and in the plant...