Microscopic Fusarium Detection and Verification with Convolutional Neural Networks
Advances in computer vision, specifically on deep convolutional neural networks, have achieved state of the art results in multiple computer vision tasks. These networks have enabled the rapid de-tection of Fusarium oxysporum, the main cause of the Fusarium Wilt disease plaguing banana Cavendish pla...
Saved in:
Main Authors: | Estuar, Ma. Regina Justina E, Lim, Hadrian Paulo M |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2018
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/17 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
Similar Items
-
Microscopic Fusarium detection and analyses with convolutional neural networks
by: LIM, HADRIAN PAULO M.
Published: (2018) -
Microscopic Fusarium detection and analyses with convolutional neural networks
by: LIM, HADRIAN PAULO M.
Published: (2018) -
Ensemble Convolutional Neural Networks for the Detection of Microscopic Fusarium Oxysporum
by: Ong, Josh Daniel L, et al.
Published: (2020) -
Transfer Learning in Ensemble Convolutional Neural Networks Toward the Detection of Microscopic Fusarium Oxysporum
by: Ong, Josh Daniel, et al.
Published: (2021) -
Analysis of the Effects of Microscopy Techniques on the Performances of Convolutional Neural Network Architectures in Microscopic Fusarium Microconidia Detection
by: Abigan, Erinn Giannice T, et al.
Published: (2021)