标题
Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 11, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2020-07-15
DOI
10.3389/fpls.2020.01082
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Plant disease recognition using fractional-order Zernike moments and SVM classifier
- (2019) Parminder Kaur et al. NEURAL COMPUTING & APPLICATIONS
- A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis
- (2019) Amanda Ramcharan et al. Frontiers in Plant Science
- Rice Blast Disease Recognition Using a Deep Convolutional Neural Network
- (2019) Wan-jie Liang et al. Scientific Reports
- Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
- (2019) Yuanyuan Pu et al. Energies
- Identification of plant leaf diseases using a nine-layer deep convolutional neural network
- (2019) Geetharamani G. et al. COMPUTERS & ELECTRICAL ENGINEERING
- Cucumber leaf disease identification with global pooling dilated convolutional neural network
- (2019) Shanwen Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Three-channel convolutional neural networks for vegetable leaf disease recognition
- (2018) Shanwen Zhang et al. Cognitive Systems Research
- Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
- (2018) Muhammad Sharif et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Plant discrimination by Support Vector Machine classifier based on spectral reflectance
- (2018) Saman Akbarzadeh et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- PEA: Parallel electrocardiogram-based authentication for smart healthcare systems
- (2018) Yin Zhang et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications
- (2018) Merima Kulin et al. IEEE Access
- Using Support Vector Machines classification to differentiate spectral signatures of potato plants infected with Potato Virus Y
- (2018) L.M. Griffel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
- (2018) Muhammad Attique Khan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using Deep Learning for Image-Based Potato Tuber Disease Detection
- (2018) Dor Oppenheim et al. PHYTOPATHOLOGY
- Identification of rice diseases using deep convolutional neural networks
- (2017) Yang Lu et al. NEUROCOMPUTING
- Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks
- (2017) Bin Liu et al. Symmetry-Basel
- Cucumber disease recognition based on Global-Local Singular value decomposition
- (2016) Shanwen Zhang et al. NEUROCOMPUTING
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects
- (2013) Lin Yuan et al. FIELD CROPS RESEARCH
- Predicting the spread of postharvest disease in stored fruit, with application to apples
- (2013) M. Dutot et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search