DCNN Transfer Learning and Multi-model Integration for Disease and Weed Identification
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[1] Murvet Kirci,et al. Disease detection on the leaves of the tomato plants by using deep learning , 2017, 2017 6th International Conference on Agro-Geoinformatics.
[2] Jinghui Li,et al. Extraction and analysis of digital images feature of three kinds of wheat diseases , 2010, 2010 3rd International Congress on Image and Signal Processing.
[3] Itir Önal,et al. Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations , 2017, ArXiv.
[4] David Jones,et al. Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images , 2004 .
[5] Pablo M. Granitto,et al. Deep learning for plant identification using vein morphological patterns , 2016, Comput. Electron. Agric..
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Yu Sun,et al. Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning , 2017, Comput. Intell. Neurosci..
[8] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[10] Mostafa Mehdipour-Ghazi,et al. Plant identification using deep neural networks via optimization of transfer learning parameters , 2017, Neurocomputing.
[11] David Hughes,et al. Deep Learning for Image-Based Cassava Disease Detection , 2017, Front. Plant Sci..
[12] Daniele Nardi,et al. Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture , 2016, IAS.
[13] Yang Xu,et al. Weed identification based on K-means feature learning combined with convolutional neural network , 2017, Comput. Electron. Agric..
[14] Hitoshi Iyatomi,et al. Basic Study of Automated Diagnosis of Viral Plant Diseases Using Convolutional Neural Networks , 2015, ISVC.
[15] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Ricardo Matsumura de Araújo,et al. Classification of Apple Tree Disorders Using Convolutional Neural Networks , 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).
[17] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Changshui Zhang,et al. An In-field Automatic Wheat Disease Diagnosis System , 2017, Comput. Electron. Agric..