Unsupervised Convolutional Autoencoder-Based Feature Learning for Automatic Detection of Plant Diseases

Developing an automatic detector of plant diseases is one of application fields in machine learning. Ground-truth diagnoses of plant diseases which are conducted by experts in laboratory tests are often inapplicable for fast and cheap implementations. Using machine learning approaches, the images of...

Celý popis

Podrobná bibliografia

Vydané v:	2018 International Conference on Computer, Control, Informatics and Its Applications (IC3INA) s. 158 - 162
Hlavní autori:	Pardede, Hilman F., Suryawati, Endang, Sustika, Rika, Zilvan, Vicky
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2018
Predmet:	convolutional autoen-coder Deep learning Diseases Feature extraction feature learning Kernel Plant diseases detection Support vector machines SVM Training
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!