Identification of peach leaf disease infected by Xanthomonas campestris with deep learning

Author:

Zhang Keke,Xu Zheyuan,Dong ShoukunORCID,Cen Canjian,Wu Qiufeng

Funder

Public Welfare Industry (Agriculture) Research Projects Level-2

Harbin Applied Technology Research and Development Program

Student Innovation Practical Training

Postdoctoral Foundation of Hei Long Jiang Province

Economic Decision Making and Early Warning of Soybean Industry in Technology Collaborative Innovation System of Soybean Industry in Heilongjiang Province

Publisher

Asian Agricultural and Biological Engineering Association

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Food Science

Reference48 articles.

1. Applying support vector machines to imbalanced datasets;Akbani,2004

2. Serological, pathological, and genetic diversity among strains of Xanthomonas campestris infecting crucifers;Alvarez;Phytopathology,1994

3. Lung pattern classification for interstitial lung diseases using a deep convolutional neural network;Anthimopoulos;IEEE Trans. Med. Imag.,2016

4. Visualizing data using t-SNE;Bengio;J. Mach. Learn. Res.,2008

5. An optimized cost-sensitive SVM for imbalanced data learning;Cao,2013

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