Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 11, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-12-22
DOI
10.3389/fpls.2020.600854
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Tell and guess: cooperative learning for natural image caption generation with hierarchical refined attention
- (2020) Wenqiao Zhang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
- (2020) Bin Liu et al. Frontiers in Plant Science
- Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease
- (2020) Utpal Barman et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Pedestrian object detection with fusion of visual attention mechanism and semantic computation
- (2019) Feng Xiao et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Analysis of transfer learning for deep neural network based plant classification models
- (2019) Aydin Kaya et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Three-Stream Attention-Aware Network for RGB-D Salient Object Detection
- (2019) Hao Chen et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Convolutional Neural Networks for the Automatic Identification of Plant Diseases
- (2019) Justine Boulent et al. Frontiers in Plant Science
- Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
- (2019) Muammer Turkoglu et al. Journal of Ambient Intelligence and Humanized Computing
- Attention embedded residual CNN for disease detection in tomato leaves
- (2019) Karthik R. et al. APPLIED SOFT COMPUTING
- Image caption generation with dual attention mechanism
- (2019) Maofu Liu et al. INFORMATION PROCESSING & MANAGEMENT
- 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
- Object-Part Attention Model for Fine-Grained Image Classification
- (2018) Yuxin Peng et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An intelligent mobile application for diagnosis of crop diseases in Pakistan using fuzzy inference system
- (2018) Muhammad Toseef et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
- (2018) Jayme Garcia Arnal Barbedo COMPUTERS AND ELECTRONICS IN AGRICULTURE
- High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
- (2018) Alvaro F. Fuentes et al. Frontiers in Plant Science
- Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence
- (2018) Albert Cruz et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Identification of rice diseases using deep convolutional neural networks
- (2017) Yang Lu et al. NEUROCOMPUTING
- How Deep Learning Extracts and Learns Leaf Features for Plant Classification
- (2017) Sue Han Lee et al. PATTERN RECOGNITION
- Deep Learning for Image-Based Cassava Disease Detection
- (2017) Amanda Ramcharan et al. Frontiers in Plant Science
- Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach
- (2017) Miraemiliana Murat et al. PeerJ
- Detecting Densely Distributed Graph Patterns for Fine-Grained Image Categorization
- (2016) Luming Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Image-based phenotyping of plant disease symptoms
- (2015) Andrew M. Mutka et al. Frontiers in Plant Science
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started