Open AccessPrecision agriculture classification using convolutional neural networks for paddy growth level
Author(s) -
Indri Neforawati,
Nanna Suryana,
Mohd Fairuz Iskandar Othman
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1193/1/012026
Subject(s) - convolutional neural network , agriculture , precision agriculture , computer science , artificial intelligence , key (lock) , machine learning , contextual image classification , deep learning , artificial neural network , agricultural engineering , pattern recognition (psychology) , image (mathematics) , geography , engineering , computer security , archaeology