A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant
暂无分享,去创建一个
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Limin Wang,et al. Combining decision tree and Naive Bayes for classification , 2006, Knowl. Based Syst..
[3] Debashis Ghosh,et al. Multi-resolution mobile vision system for plant leaf disease diagnosis , 2016, Signal Image Video Process..
[4] Zhu-Hong You,et al. Fusion of superpixel, expectation maximization and PHOG for recognizing cucumber diseases , 2017, Comput. Electron. Agric..
[5] Marcel Salathé,et al. Using Deep Learning for Image-Based Plant Disease Detection , 2016, Front. Plant Sci..
[6] Chun-Chieh Yang,et al. Application of decision tree technology for image classification using remote sensing data , 2003 .
[7] Mohammad Shorif Uddin,et al. Machine vision based papaya disease recognition , 2020, J. King Saud Univ. Comput. Inf. Sci..
[8] Jaime Gomez-Gil,et al. Leaf classification in sunflower crops by computer vision and neural networks , 2011 .
[9] Rutu Gandhi,et al. Plant disease detection using CNNs and GANs as an augmentative approach , 2018, 2018 IEEE International Conference on Innovative Research and Development (ICIRD).
[10] Satish Kumar Singh,et al. Color sensing and image processing-based automatic soybean plant foliar disease severity detection and estimation , 2015, Multimedia Tools and Applications.
[11] Wang Zhibin,et al. Image segmentation of overlapping leaves based on Chan–Vese model and Sobel operator , 2017 .
[12] Yu Sun,et al. Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning , 2017, Comput. Intell. Neurosci..
[13] Lingxian Zhang,et al. A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network , 2018, Comput. Electron. Agric..
[14] Fuad E. Alsaadi,et al. Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip , 2016, Cognitive Computation.
[15] Zahid Iqbal,et al. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection , 2018, Comput. Electron. Agric..
[16] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[17] Neha Mehra,et al. Survey on Multiclass Classification Methods , 2013 .
[18] Mohammad Bagher Menhaj,et al. A Bayesian Network Based Approach for Data Classification Using Structural Learning , 2008, CSICC.
[19] Daoliang Li,et al. An Adaptive Thresholding algorithm of field leaf image , 2013 .
[20] Kuo-Yi Huang,et al. Detection and classification of areca nuts with machine vision , 2012, Comput. Math. Appl..
[21] Yixiang Huang,et al. Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network , 2019, Frontiers in Plant Science.
[22] Lingxian Zhang,et al. A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing , 2017, Comput. Electron. Agric..
[23] José G. M. Esgario,et al. Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic Stress , 2019, Comput. Electron. Agric..
[24] Shanwen Zhang,et al. Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification , 2009, ICIC.
[25] Jie Tian,et al. Wheat leaf lesion color image segmentation with improved multichannel selection based on the Chan-Vese model , 2017, Comput. Electron. Agric..
[26] Kanad K. Biswas,et al. Development of Efficient CNN model for Tomato crop disease identification , 2020, Sustain. Comput. Informatics Syst..
[27] Xanthoula Eirini Pantazi,et al. Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers , 2019, Comput. Electron. Agric..
[28] Tanzila Saba,et al. An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection , 2020, Multimedia Tools and Applications.
[29] Yan Zhang,et al. A low shot learning method for tea leaf's disease identification , 2019, Comput. Electron. Agric..
[30] Muhammad Awais,et al. CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features , 2018, Comput. Electron. Agric..
[31] Konstantinos P. Ferentinos,et al. Deep learning models for plant disease detection and diagnosis , 2018, Comput. Electron. Agric..
[32] Fuad E. Alsaadi,et al. Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip , 2020, Neurocomputing.
[33] Edward Jones,et al. A survey of image processing techniques for plant extraction and segmentation in the field , 2016, Comput. Electron. Agric..
[34] A. Kulkarni,et al. A Leaf Recognition Technique for Plant Classification Using RBPNN and Zernike Moments , 2013 .
[35] Jeremy S. Smith,et al. An image-processing based algorithm to automatically identify plant disease visual symptoms. , 2009 .
[36] Yun Shi,et al. Cucumber leaf disease identification with global pooling dilated convolutional neural network , 2019, Comput. Electron. Agric..
[37] Zhiguo Cao,et al. Crop segmentation from images by morphology modeling in the CIE L*a*b* color space , 2013 .
[38] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Florentin Smarandache,et al. Smart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks , 2019, 2019 International Conference of Computer Science and Renewable Energies (ICCSRE).
[40] Reza Ehsani,et al. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods , 2017 .
[41] Sanjay Chaudhary,et al. Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images , 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[42] Kee-Eung Kim,et al. An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips , 2019, IEEE Transactions on Nanotechnology.
[43] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[44] A. K. Misra,et al. Detection of plant leaf diseases using image segmentation and soft computing techniques , 2017 .
[45] Li Yujian,et al. A comparative study of fine-tuning deep learning models for plant disease identification , 2019, Comput. Electron. Agric..
[46] Zhu-Hong You,et al. Leaf image based cucumber disease recognition using sparse representation classification , 2017, Comput. Electron. Agric..