Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties
Document Type
Conference Proceeding
Publication Date
2-25-2019
Abstract
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) produces chlamydospores in soil which germinates and infect the banana plant and eventually kill it. This study aims to develop a model using pattern recognition in soil parameters that will identify the predisposition of soil to existence of Panama disease in an area. Soil parameters have been selected as input since these indirectly affect the potential for biological suppression of plant pathogens.
Recommended Citation
A. I. C. David and M. L. C. Guico, "Presence or Absence of Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4) Classification Using Machine Learning Methods on Soil Properties," TENCON 2018 - 2018 IEEE Region 10 Conference, Jeju, Korea (South), 2018, pp. 0689-0694, doi: 10.1109/TENCON.2018.8650116.
