Ensemble Convolutional Neural Networks for the Detection of Microscopic Fusarium Oxysporum

• Main Authors: Ong, Josh Daniel L, Abigan, Erinn Giannice T, Cajucom, Luis Gabriel A, Abu, Patricia Angela R, Estuar, Ma. Regina Justina E
• Format: text
• Published: Archīum Ateneo 2020
• Subjects: Fusarium oxysporum f. sp. cubense; Model stacking; Ensemble learning; Convolutional neural networks; Computer Sciences; Databases and Information Systems; Fungi; Plant Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/311; https://link.springer.com/chapter/10.1007/978-3-030-64556-4_25
• Institution: Ateneo De Manila University

The Panama disease has been reported to wipe out banana plantations due to the fungal pathogen known as Fusarium oxysporum f. sp. Cubense Tropical Race 4, or Foc TR4. Currently, there are no proven methods to control the spread of the disease. This study aims to develop an early detection model for...