Investigating Input Protocols, Image Analysis, and Machine Learning Methods for an Intelligent Identification System of Fusarium Oxysporum Sp. in Soil Samples

• Main Authors: Coronel, Andrei D, Estuar, Ma. Regina Justina E, De Leon, Marlene M
• Format: text
• Published: Archīum Ateneo 2018
• Subjects: Image analysis; Machine learning; Smart farming; Wireless sensor networks; Mobile microscopy; Agriculture; Computer Sciences; Databases and Information Systems; Fungi; Plant Sciences; Soil Science
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/275; https://link.springer.com/chapter/10.1007/978-3-030-01054-6_26
• Institution: Ateneo De Manila University

The export of Cavendish cultivars making up one third of the Philippine Banana Export Industry is threatened by the rising concern over the increasing presence of Fusarium wilt in plantations. As Cavendish is susceptible to the infection of the fungus Fusarium oxysporum sp. cubense, Tropical Race 4...