Plant Leaf Disease Segmentation Using Compressed UNet Architecture

[1]  Marcel Salathé,et al.  Using Deep Learning for Image-Based Plant Disease Detection , 2016, Front. Plant Sci..

[2]  Siddhartha S. Mehta,et al.  Deep Orange: Mask R-CNN based Orange Detection and Segmentation , 2019, IFAC-PapersOnLine.

[3]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[4]  Guangming Shi,et al.  Network pruning using sparse learning and genetic algorithm , 2020, Neurocomputing.

[5]  Wonyong Sung,et al.  Structured Pruning of Deep Convolutional Neural Networks , 2015, ACM J. Emerg. Technol. Comput. Syst..

[6]  Artzai Picón,et al.  Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case , 2017, Comput. Electron. Agric..

[7]  Meng Zhang,et al.  Recent Advances in Convolutional Neural Network Acceleration , 2018, Neurocomputing.

[8]  Uday K. Chakraborty,et al.  Advances in Differential Evolution , 2010 .

[9]  Lubomir M. Hadjiiski,et al.  Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis , 2018, Physics in medicine and biology.

[10]  Lingxian Zhang,et al.  A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network , 2018, Comput. Electron. Agric..

[11]  Dong Hwan Kim,et al.  An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis , 2018, PloS one.

[12]  Yongjun Xu,et al.  Multi-objective Pruning for CNNs using Genetic Algorithm , 2019, ICANN.

[13]  Yixiang Huang,et al.  Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network , 2019, Frontiers in Plant Science.

[14]  Jing Zhou,et al.  Automated segmentation of soybean plants from 3D point cloud using machine learning , 2019, Comput. Electron. Agric..