Analysis of the Effects of Microscopy Techniques on the Performances of Convolutional Neural Network Architectures in Microscopic Fusarium Microconidia Detection

TY - JOUR

T1 - Analysis of the Effects of Microscopy Techniques on the Performances of Convolutional Neural Network Architectures in Microscopic Fusarium Microconidia Detection

AU - Abigan, Erinn Giannice T

AU - Cajucom, Luis Gabriel A

AU - Ong, Josh Daniel L

AU - Abu, Patricia Angela R

AU - Estuar, Ma. Regina Justina E

N1 - Abigan, E. G. T., Cajucom, L. G. A., Ong, J. D. L., Abu, P. A. R., & Estuar, Ma. R. J. E. (2021). Analysis of the effects of microscopy techniques on the performances of convolutional neural network architectures in microscopic Fusarium microconidia detection. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). https://doi.org/10.1109/ICECCME52200.2021.9591055

PY - 2021/1/1

Y1 - 2021/1/1

KW - Meters

KW - Fungi

KW - Mechatronics

KW - Infectious diseases

KW - Microscopy

KW - Crops

KW - Computer architecture

KW - microscopy image analysis

KW - microconidia detection

KW - convolutional neural networks

KW - Fusarium oxysporum f. sp. cubense

UR - https://archium.ateneo.edu/discs-faculty-pubs/239

UR - https://ieeexplore.ieee.org/abstract/document/9591055

M3 - Article

JO - Department of Information Systems & Computer Science Faculty Publications

JF - Department of Information Systems & Computer Science Faculty Publications

ER -