相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。MobileNet Based Apple Leaf Diseases Identification
Chongke Bi et al.
MOBILE NETWORKS & APPLICATIONS (2022)
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
Jaafar Abdulridha et al.
PRECISION AGRICULTURE (2020)
Unsupervised image translation using adversarial networks for improved plant disease recognition
Haseeb Nazki et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Deep learning for classification and severity estimation of coffee leaf biotic stress
Jose G. M. Esgario et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
New perspectives on plant disease characterization based on deep learning
Sue Han Lee et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Few-Shot Learning approach for plant disease classification using images taken in the field
David Argueso et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Using deep transfer learning for image-based plant disease identification
Junde Chen et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection
Iftikhar Ahmad et al.
COMPLEXITY (2020)
Identification of cash crop diseases using automatic image segmentation algorithm and deep learning with expanded dataset
Yonghua Xiong et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
Ning Zhang et al.
REMOTE SENSING (2020)
Image recognition of four rice leaf diseases based on deep learning and support vector machine
Feng Jiang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Zero- and few-shot learning for diseases recognition of Citrus aurantium L. using conditional adversarial autoencoders
Fangming Zhong et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Using Deep Learning for Image-Based Different Degrees of Ginkgo Leaf Disease Classification
Kaizhou Li et al.
INFORMATION (2020)
A Two-Stage Approach to Few-Shot Learning for Image Recognition
Debasmit Das et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification
Qiufeng Wu et al.
IEEE ACCESS (2020)
A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification
Bin Liu et al.
IEEE ACCESS (2020)
SLIC_SVM based leaf diseases saliency map extraction of tea plant
Yunyun Sun et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Rice Blast Disease Recognition Using a Deep Convolutional Neural Network
Wan-jie Liang et al.
SCIENTIFIC REPORTS (2019)
Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
Gerrit Polder et al.
FRONTIERS IN PLANT SCIENCE (2019)
Plant disease identification from individual lesions and spots using deep learning
Jayme Garcia Arnal Barbedo
BIOSYSTEMS ENGINEERING (2019)
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
Yunong Tian et al.
JOURNAL OF SENSORS (2019)
Cucumber leaf disease identification with global pooling dilated convolutional neural network
Shanwen Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
A low shot learning method for tea leaf's disease identification
Hu Gensheng et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Plant disease identification using explainable 3D deep learning on hyperspectral images
Koushik Nagasubramanian et al.
PLANT METHODS (2019)
Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging
Ruicheng Qiu et al.
REMOTE SENSING (2019)
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem et al.
PLANTS-BASEL (2019)
Detection of anthracnose in tea plants based on hyperspectral imaging
Lin Yuan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions
Artzai Picon et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
A two-stage deep neural network for multi-norm license plate detection and recognition
Yousri Kessentini et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms
Mehmet Metin Ozguven et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN)
Dongyi Wang et al.
SCIENTIFIC REPORTS (2019)
Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review
Alberto Signoroni et al.
JOURNAL OF IMAGING (2019)
Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network
Wei Yang et al.
IEEE ACCESS (2019)
Plant Leaves Classification: A Few-Shot Learning Method Based on Siamese Network
Bin Wang et al.
IEEE ACCESS (2019)
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks
Peng Jiang et al.
IEEE ACCESS (2019)
Plant disease and pest detection using deep learning-based features
Muammer Turkoglu et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES (2019)
Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks
Bin Liu et al.
SYMMETRY-BASEL (2018)
Deep learning in agriculture: A survey
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
An explainable deep machine vision framework for plant stress phenotyping
Sambuddha Ghosal et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field
Xiu Jin et al.
REMOTE SENSING (2018)
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
Juncheng Ma et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
Alvaro F. Fuentes et al.
FRONTIERS IN PLANT SCIENCE (2018)
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
Muhammad Attique Khan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Mohamed Kerkech et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Identification of rice diseases using deep convolutional neural networks
Yang Lu et al.
NEUROCOMPUTING (2017)
Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning
Chad DeChant et al.
PHYTOPATHOLOGY (2017)
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Alvaro Fuentes et al.
SENSORS (2017)
Advanced Spectral Classifiers for Hyperspectral Images A review
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
An in-field automatic wheat disease diagnosis system
Jiang Lu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
Alexander Johannes et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Vision-based pest detection based on SVM classification method
M. A. Ebrahimi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
Mohammed Brahimi et al.
APPLIED ARTIFICIAL INTELLIGENCE (2017)
Plant species classification using deep convolutional neural network
Mads Dyrmann et al.
BIOSYSTEMS ENGINEERING (2016)
Deep learning for plant identification using vein morphological patterns
Guillermo L. Grinblat et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Using Deep Learning for Image-Based Plant Disease Detection
Sharada P. Mohanty et al.
FRONTIERS IN PLANT SCIENCE (2016)
Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging
Chuanqi Xie et al.
SCIENTIFIC REPORTS (2015)
Hyperspectral and Thermal Imaging of Oilseed Rape (Brassica napus) Response to Fungal Species of the Genus Alternaria
Piotr Baranowski et al.
PLOS ONE (2015)
Identification of powdery mildew (Erysiphe graminis sp tritici) and take-all disease (Gaeumannomyces graminis sp tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements
Simone Graeff et al.
CENTRAL EUROPEAN JOURNAL OF BIOLOGY (2006)
One-shot learning of object categories
FF Li et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)