Comparative analysis of tree classification models for detecting fusarium oxysporum f. sp cubense (TR4) based on multi soil sensor parameters

• Main Authors: Estuar, Ma. Regina Justina E, Victorino, John Noel, Coronel, Andrei, Tiausas, Francis, Co, Jerelyn, Señires, Chiara Veronica
• Format: text
• Published: Archīum Ateneo 2017
• Subjects: Computer Sciences; Databases and Information Systems
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/24; https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10444/2279126/Comparative-analysis-of-tree-classification-models-for-detecting-fusarium-oxysporum/10.1117/12.2279126.short?SSO=1
• Institution: Ateneo De Manila University

Use of wireless sensor networks and smartphone integration design to monitor environmental parameters surrounding plantations is made possible because of readily available and affordable sensors. Providing low cost monitoring devices would be beneficial, especially to small farm owners, in a develop...