Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition

(2020) Fangyuan Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New perspectives on plant disease characterization based on deep learning

(2020) Sue Han Lee et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

(2020) Thiago T. Santos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion

(2020) Shihan Mao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

(2020) Dengshan Li et al.   SENSORS

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

(2020) Laith Alzubaidi et al.   Electronics

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

(2020) Laith Alzubaidi et al.   Electronics

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild

(2020) Yushan Zhao et al.   APPLIED SOFT COMPUTING

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

A GAN-based image synthesis method for skin lesion classification

(2020) Zhiwei Qin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Insect pest image detection and recognition based on bio-inspired methods

(2020) Loris Nanni et al.   Ecological Informatics

A Deep Neural Network Approach Towards Real-Time On-Branch Fruit Recognition for Precision Horticulture

(2020) Seyed Iman Saedi et al.   EXPERT SYSTEMS WITH APPLICATIONS

YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3

(2020) Guoxu Liu et al.   SENSORS

Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection

(2020) Jaemyung Shin et al.   BIOSYSTEMS ENGINEERING

Using deep transfer learning for image-based plant disease identification

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

Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network

(2020) Jun Liu et al.   Frontiers in Plant Science

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

(2020) Laith Alzubaidi et al.   Applied Sciences-Basel

Using YOLOv3 Algorithm with Pre- and Post-Processing for Apple Detection in Fruit-Harvesting Robot

(2020) Anna Kuznetsova et al.   Agronomy-Basel

A State-of-the-Art Survey on Deep Learning Theory and Architectures

(2019) Md Zahangir Alom et al.   Electronics

Deep Learning for Audio Signal Processing

(2019) Hendrik Purwins et al.   IEEE Journal of Selected Topics in Signal Processing

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era

(2019) Yu Li et al.   METHODS

Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

(2019) Kushtrim Bresilla et al.   Frontiers in Plant Science

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network

(2019) Laith Alzubaidi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

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

(2019) Marko Arsenovic et al.   Symmetry-Basel

Color–Texture Pattern Classification Using Global–Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing

(2019) Navarro et al.   Applied Sciences-Basel

Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine

(2019) Muammer Turkoglu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

AI-powered banana diseases and pest detection

(2019) Michael Gomez Selvaraj et al.   Plant Methods

Convolutional Neural Networks for the Automatic Identification of Plant Diseases

(2019) Justine Boulent et al.   Frontiers in Plant Science

Diagnosis and Recognition of Grape Leaf Diseases: An automated system based on a Novel Saliency approach and Canonical Correlation Analysis based multiple features fusion

(2019) Alishba Adeel et al.   Sustainable Computing-Informatics & Systems

Segmentation of tomato leaf images based on adaptive clustering number of K-means algorithm

(2019) Kai Tian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Depthwise separable convolution architectures for plant disease classification

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

Multi-scale detection of stored-grain insects for intelligent monitoring

(2019) Jiangtao Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fast implementation of real-time fruit detection in apple orchards using deep learning

(2019) Hanwen Kang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning for Generic Object Detection: A Survey

(2019) Li Liu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Plant Disease Detection and Classification by Deep Learning

(2019) Saleem et al.   Plants-Basel

Attention embedded residual CNN for disease detection in tomato leaves

(2019) Karthik R. et al.   APPLIED SOFT COMPUTING

Unsupervised image translation using adversarial networks for improved plant disease recognition

(2019) Haseeb Nazki et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A two-stage deep neural network for multi-norm license plate detection and recognition

(2019) Yousri Kessentini et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms

(2019) Mehmet Metin Ozguven et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

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

Deep learning in agriculture: A survey

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

NIMA: Neural Image Assessment

(2018) Hossein Talebi et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Machine learning for big visual analysis

(2018) Jun Yu et al.   MACHINE VISION AND APPLICATIONS

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

(2017) Albert C. Cruz et al.   Frontiers in Plant Science

Impact of Combined Abiotic and Biotic Stresses on Plant Growth and Avenues for Crop Improvement by Exploiting Physio-morphological Traits

(2017) Prachi Pandey et al.   Frontiers in Plant Science

Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

(2016) Jiwhan Kim et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Healthy and unhealthy red blood cell detection in human blood smears using neural networks

(2016) Hany A. Elsalamony   MICRON

A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS

(2015) Junjie Lu et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Synergisms between microbial pathogens in plant disease complexes: a growing trend

(2015) Jay Ram Lamichhane et al.   Frontiers in Plant Science

Modeling Natural Images Using Gated MRFs

(2013) Marc'Aurelio Ranzato et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Crop losses due to diseases and their implications for global food production losses and food security

(2012) Serge Savary et al.   Food Security

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

Neural Network for Graphs: A Contextual Constructive Approach

(2009) A. Micheli   IEEE TRANSACTIONS ON NEURAL NETWORKS

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

(2008) A. Torralba et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE