Multi-Condition Training on Deep Convolutional Neural Networks for Robust Plant Diseases Detection.
R. Sandra YuwanaEndang SuryawatiVicky ZilvanAde RamdanHilman F. PardedeFani FauziahPublished in: IC3INA (2019)
Keyphrases
- convolutional neural networks
- partial occlusion
- automatic detection
- landmark detection
- reliable detection
- training phase
- sufficient conditions
- detection algorithm
- false positives
- neural network
- training set
- detection accuracy
- hidden markov models
- arabidopsis thaliana
- false alarms
- detection method
- power plant
- noisy environments
- training examples
- image registration
- control system
- multiscale