A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Recognition of Apple Leaf Diseases using Deep Learning and Variances-Controlled Features Reduction

(2021) Muqadas Bin Tahir et al.   MICROPROCESSORS AND MICROSYSTEMS

Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition

(2021) Insaf Adjabi et al.   SENSORS

Identification of disease using deep learning and evaluation of bacteriosis in peach leaf

(2021) Saumya Yadav et al.   Ecological Informatics

Plant diseases and pests detection based on deep learning: a review

(2021) Jun Liu et al.   Plant Methods

A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves

(2021) Jaemyung Shin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of rice plant diseases using lightweight attention networks

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

Citrus pests classification using an ensemble of deep learning models

(2021) Morteza Khanramaki et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning

(2021) Zhencun Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rice leaf diseases prediction using deep neural networks with transfer learning

(2021) Krishnamoorthy N et al.   ENVIRONMENTAL RESEARCH

Past, Present, and Future of Face Recognition: A Review

(2020) Insaf Adjabi et al.   Electronics

Use of deep learning techniques for identification of plant leaf stresses: A review

(2020) Serosh Karim Noon et al.   Sustainable Computing-Informatics & Systems

VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant

(2020) Rakesh Chandra Joshi et al.   Ecological Informatics

A deep learning approach to measure stress level in plants due to Nitrogen deficiency

(2020) Shiva Azimi et al.   MEASUREMENT

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant

(2020) Mohit Agarwal et al.   Sustainable Computing-Informatics & Systems

Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model

(2019) Jing Chen et al.   Symmetry-Basel

Rice Blast Disease Recognition Using a Deep Convolutional Neural Network

(2019) Wan-jie Liang et al.   Scientific Reports

Applications of Computer Vision in Plant Pathology: A Survey

(2019) Siddharth Singh Chouhan et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

A Comparative Study of Deep CNN in Forecasting and Classifying the Macronutrient Deficiencies on Development of Tomato Plant

(2019) Trung-Tin Tran et al.   Applied Sciences-Basel

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

Deep Learning for Generic Object Detection: A Survey

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

Plants Disease Identification and Classification Through Leaf Images: A Survey

(2018) Sukhvir Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

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

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

Aerial Images and Convolutional Neural Network for Cotton Bloom Detection

(2018) Rui Xu et al.   Frontiers in Plant Science

Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology

(2018) Siddharth Singh Chouhan et al.   IEEE Access

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

(2018) Xihai Zhang et al.   IEEE Access

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 for Plant Stress Phenotyping: Trends and Future Perspectives

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

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

Deep convolution neural network for image recognition

(2018) Boukaye Boubacar Traore et al.   Ecological Informatics

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

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

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

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

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

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

iPathology: Robotic Applications and Management of Plants and Plant Diseases

(2017) Yiannis Ampatzidis et al.   Sustainability

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang 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

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

In-field cotton detection via region-based semantic image segmentation

(2016) Yanan Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic moth detection from trap images for pest management

(2016) Weiguang Ding et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

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

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

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

Intelligent alerting for fruit-melon lesion image based on momentum deep learning

(2015) Wenxue Tan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Leaf Doctor: A New Portable Application for Quantifying Plant Disease Severity

(2015) Sarah J. Pethybridge et al.   PLANT DISEASE

Health and Economic Burden of Obesity in Elderly Individuals with Asthma in the United States

(2015) Ruchit Shah et al.   Population Health Management

The potential of automatic methods of classification to identify leaf diseases from multispectral images

(2011) Sabine D. Bauer et al.   PRECISION AGRICULTURE

Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging

(2010) C. H. Bock et al.   CRITICAL REVIEWS IN PLANT SCIENCES

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION