Mathematical and Visual Understanding of a Deep Learning Model Towards m-Agriculture for Disease Diagnosis
暂无分享,去创建一个
[1] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Wayne Goodridge,et al. Intelligent diagnosis of diseases in plants using a hybrid Multi-Criteria decision making technique , 2017, Comput. Electron. Agric..
[4] Mercelin Francis,et al. Image Segmentation for Feature Extraction: A Study on Disease Diagnosis in Agricultural Plants , 2018 .
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Darko Stefanovic,et al. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification , 2016, Comput. Intell. Neurosci..
[7] B. Devraj,et al. PulsExpert: An expert system for the diagnosis and control of diseases in pulse crops , 2011, Expert Syst. Appl..
[8] Alsayed Algergawy,et al. A Deep Learning-based Approach for Banana Leaf Diseases Classification , 2017, BTW.
[9] Marcel Salathé,et al. Using Deep Learning for Image-Based Plant Disease Detection , 2016, Front. Plant Sci..
[10] Sabeen Survery,et al. Increased Permeability of the Aquaporin SoPIP2;1 by Mercury and Mutations in Loop A , 2016, Front. Plant Sci..
[11] Sang Cheol Kim,et al. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition , 2017, Sensors.
[12] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[13] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[14] Gajendra P. S. Raghava,et al. Machine learning techniques in disease forecasting: a case study on rice blast prediction , 2006, BMC Bioinformatics.
[15] Konstantinos P. Ferentinos,et al. Deep learning models for plant disease detection and diagnosis , 2018, Comput. Electron. Agric..
[16] Victor Podlozhnyuk,et al. Image Convolution with CUDA , 2007 .
[17] S. S. Hasan,et al. CaneDES: A Web-Based Expert System for Disorder Diagnosis in Sugarcane , 2014, Sugar Tech.