Plant Disease Detection and Classification by Deep Learning

Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model

(2019) Jing Chen et al.   Symmetry-Basel

Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images

(2019) Gerrit Polder et al.   Frontiers in Plant Science

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network

(2019) Ke Lin et al.   Frontiers in Plant Science

Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape

(2019) Charles Veys et al.   Plant Methods

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms

(2019) Jelena Kocić et al.   SENSORS

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale

(2019) Anne-Katrin Mahlein et al.   SENSORS

Cucumber leaf disease identification with global pooling dilated convolutional neural network

(2019) Shanwen Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

(2019) S. Mostafa Mousavi et al.   Scientific Reports

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

(2019) Xin Zhang et al.   Remote Sensing

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

(2019) Marko Arsenovic et al.   Symmetry-Basel

AI-powered banana diseases and pest detection

(2019) Michael Gomez Selvaraj et al.   Plant Methods

Depthwise separable convolution architectures for plant disease classification

(2019) Kamal KC et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Unsupervised hyperspectral band selection for apple Marssonina blotch detection

(2018) Mubarakat Shuaibu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field

(2018) Xiu Jin et al.   Remote Sensing

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

(2018) Xihai Zhang et al.   IEEE Access

Convolutional neural network for earthquake detection and location

(2018) Thibaut Perol et al.   Science Advances

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

(2018) Juncheng Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning of aftershock patterns following large earthquakes

(2018) Phoebe M. R. DeVries et al.   NATURE

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Detection of peanut leaf spots disease using canopy hyperspectral reflectance

(2018) Tingting Chen 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

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

(2018) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

(2018) Jinya Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

Deep Recurrent Neural Networks for Hyperspectral Image Classification

(2017) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A new deep convolutional neural network for fast hyperspectral image classification

(2017) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles

(2017) Jin Gwan Ha et al.   Journal of Applied Remote Sensing

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

(2017) Martin Halicek et al.   JOURNAL OF BIOMEDICAL OPTICS

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning

(2017) Chad DeChant et al.   PHYTOPATHOLOGY

Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture

(2017) Kyosuke Yamamoto et al.   SENSORS

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

(2017) Hongyan Zhu et al.   Scientific Reports

Convolutional Recurrent Neural Networks forHyperspectral Data Classification

(2017) Hao Wu et al.   Remote Sensing

Deep Learning for Image-Based Cassava Disease Detection

(2017) Amanda Ramcharan et al.   Frontiers in Plant Science

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Deep Learning for Plant Identification in Natural Environment

(2017) Yu Sun et al.   Computational Intelligence and Neuroscience

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Deep learning for finance: deep portfolios

(2016) J. B. Heaton et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Deep learning for plant identification using vein morphological patterns

(2016) Guillermo L. Grinblat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An Investigation Into Machine Learning Regression Techniques for the Leaf Rust Disease Detection Using Hyperspectral Measurement

(2016) Davoud Ashourloo et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Using Deep Learning for Image-Based Plant Disease Detection

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

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

Hyperspectral image classification via contextual deep learning

(2015) Xiaorui Ma et al.   EURASIP Journal on Image and Video Processing

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Deep Convolutional Neural Networks for Hyperspectral Image Classification

(2015) Wei Hu et al.   Journal of Sensors

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

(2010) T. Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE