Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning

(2021) Junfeng Gao et al.   KNOWLEDGE-BASED SYSTEMS

Classification of Plant Electrophysiology Signals for Detection of Spider Mites Infestation in Tomatoes

(2021) Elena Najdenovska et al.   Applied Sciences-Basel

An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification

(2021) Hakan Gunduz   Biomedical Signal Processing and Control

Identification of rice plant diseases using lightweight attention networks

(2021) Junde Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

An industrial-grade solution for agricultural image classification tasks

(2021) Yingshu Peng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Tomato plant disease detection using transfer learning with C-GAN synthetic images

(2021) Amreen Abbas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition

(2021) Jaweria Kianat et al.   OPTIK

Semi-supervised few-shot learning approach for plant diseases recognition

(2021) Yang Li et al.   Plant Methods

Disease Detection in Apple Leaves Using Deep Convolutional Neural Network

(2021) Prakhar Bansal et al.   Agriculture-Basel

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

(2020) Junfeng Gao et al.   Plant Methods

SDCT-AuxNet : DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis

(2020) Shiv Gehlot et al.   MEDICAL IMAGE ANALYSIS

Brown rice planthopper (Nilaparvata lugens Stal) detection based on deep learning

(2020) Yue He et al.   PRECISION AGRICULTURE

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

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

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning based HEp-2 image classification: A comprehensive review

(2020) Saimunur Rahman et al.   MEDICAL IMAGE ANALYSIS

Image recognition of four rice leaf diseases based on deep learning and support vector machine

(2020) Feng Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning for image-based weed detection in turfgrass

(2019) Jialin Yu et al.   EUROPEAN JOURNAL OF AGRONOMY

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

A watershed segmentation algorithm based on an optimal marker for bubble size measurement

(2019) Hu Zhang et al.   MEASUREMENT

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

Deep neural networks with transfer learning in millet crop images

(2019) Solemane Coulibaly et al.   COMPUTERS IN INDUSTRY

An improved background segmentation algorithm for fringe projection profilometry based on Otsu method

(2019) Hui Du et al.   OPTICS COMMUNICATIONS

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

(2019) Marko Arsenovic et al.   Symmetry-Basel

Crop pest classification based on deep convolutional neural network and transfer learning

(2019) K. Thenmozhi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fully automatic segmentation method for medicinal plant leaf images in complex background

(2019) Liwen Gao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Novel data augmentation strategies to boost supervised segmentation of plant disease

(2019) Clément Douarre et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2

(2019) Brijraj Singh et al.   NEURAL NETWORKS

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure

(2019) Alwaseela Abdalla et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

(2019) Ashraf Darwish et al.   Swarm and Evolutionary Computation

Transfer learning for the classification of sugar beet and volunteer potato under field conditions

(2018) Hyun K. Suh et al.   BIOSYSTEMS ENGINEERING

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS 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

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation

(2018) Jing Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning: Evolution and expansion

(2018) Ritika Wason   Cognitive Systems Research

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 Classification of Land Cover and Crop Types Using Remote Sensing Data

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

Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

(2017) Ahmed Fakhry et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

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

(2017) Alvaro Fuentes et al.   SENSORS

Deep Learning for Image-Based Cassava Disease Detection

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

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

A review on the main challenges in automatic plant disease identification based on visible range images

(2016) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

A new automatic method for disease symptom segmentation in digital photographs of plant leaves

(2016) Jayme Garcia Arnal Barbedo   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Using Deep Learning for Image-Based Plant Disease Detection

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

A new colour vision system to quantify automatically foliar discolouration caused by insect pests feeding on leaf cells

(2015) A. Clément et al.   BIOSYSTEMS ENGINEERING

Exploring strategies for classification of external stimuli using statistical features of the plant electrical response

(2015) S. K. Chatterjee et al.   Journal of the Royal Society Interface

Potential of radial basis function-based support vector regression for apple disease detection

(2014) Elham Omrani et al.   MEASUREMENT

A background modeling and foreground segmentation approach based on the feedback of moving objects in traffic surveillance systems

(2014) Qiang Ling et al.   NEUROCOMPUTING

An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing

(2014) Jayme Garcia Arnal Barbedo   PLANT DISEASE

Characteristic analysis of Otsu threshold and its applications

(2011) Xiangyang Xu et al.   PATTERN RECOGNITION LETTERS

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

A review of advanced techniques for detecting plant diseases

(2010) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A semi-automatic non-destructive method to quantify grapevine downy mildew sporulation

(2010) Elisa Peressotti et al.   JOURNAL OF MICROBIOLOGICAL METHODS