Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties

• Main Authors: David, Apollo Ian C, Guico, Maria Leonora
• Format: text
• Published: Archīum Ateneo 2019
• Subjects: Soil; Training; Agriculture; Computational modeling; Machine learning; Pathogens; Electrical and Computer Engineering; Other Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/44; https://ieeexplore.ieee.org/document/8650116
• Institution: Ateneo De Manila University

Soil health is an integral part in agriculture. In order to have a good production, plant pathogens and diseases should remain low in soil. However, Panama disease have been a threat in the production of Cavendish bananas in recent years. Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) produ...