Performance of deep learning vs machine learning in plant leaf disease detection

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

(2020) Katelin D Pearson et al.   BIOSCIENCE

Inception v3 based cervical cell classification combined with artificially extracted features

(2020) N. Dong et al.   APPLIED SOFT COMPUTING

Few-Shot Learning approach for plant disease classification using images taken in the field

(2020) David Argüeso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection

(2019) Marko Arsenovic et al.   Symmetry-Basel

Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images

(2019) Hamed Behzadi-khormouji et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Development of automated hybrid intelligent system for herbs plant classification and early herbs plant disease detection

(2019) M. S. Mustafa et al.   NEURAL COMPUTING & APPLICATIONS

Reliable Accuracy Estimates from k-Fold Cross Validation

(2019) Tzu-Tsung Wong et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine

(2018) Weiyi Yang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Going Deeper With Contextual CNN for Hyperspectral Image Classification

(2017) Hyungtae Lee et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multiple predicting K-fold cross-validation for model selection

(2017) Yoonsuh Jung   JOURNAL OF NONPARAMETRIC STATISTICS

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution

(2015) José Peña et al.   SENSORS

The Powdery Mildews: A Review of the World's Most Familiar (Yet Poorly Known) Plant Pathogens

(2008) Dean A. Glawe   Annual Review of Phytopathology