Rice Blast Disease Recognition Using a Deep Convolutional Neural Network

Plant tonic, a plant-derived bioactive natural product, exhibits antifungal activity against rice blast disease

(2018) Farnaz Abed-Ashtiani et al.   INDUSTRIAL CROPS AND PRODUCTS

A hybrid deep learning CNN–ELM for age and gender classification

(2018) Mingxing Duan et al.   NEUROCOMPUTING

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network

(2017) Xiyang Liu et al.   PLoS One

Automatic moth detection from trap images for pest management

(2016) Weiguang Ding et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A deep feature based framework for breast masses classification

(2016) Zhicheng Jiao et al.   NEUROCOMPUTING

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

(2016) Min-Joo Kang et al.   PLoS One

Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network

(2016) Ziyi Liu et al.   Scientific Reports

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks

(2015) Petros-Pavlos Ypsilantis et al.   PLoS One

Investigating the impact of rice blast disease on the livelihood of the local farmers in greater Mwea region of Kenya

(2013) Joseph Kihoro et al.   SpringerPlus

Rice diseases classification using feature selection and rule generation techniques

(2012) Santanu Phadikar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Effect of Foliar and Root Application of Silicon Against Rice Blast Fungus in MR219 Rice Variety

(2012) Farnaz Abed-Ashtiani et al.   Plant Pathology Journal

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A novel hybrid CNN–SVM classifier for recognizing handwritten digits

(2011) Xiao-Xiao Niu et al.   PATTERN RECOGNITION