Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks

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