Identification of plant leaf diseases by deep learning based on channel attention and channel pruning
出版年份 2022 全文链接
标题
Identification of plant leaf diseases by deep learning based on channel attention and channel pruning
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 13, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2022-11-10
DOI
10.3389/fpls.2022.1023515
参考文献
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- (2022) Xue Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Intelligent diagnosis of northern corn leaf blight with deep learning model
- (2022) Shuai-qun PAN et al. Journal of Integrative Agriculture
- A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
- (2022) Abdelmalek Bouguettaya et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Automatic Identification of Peanut-Leaf Diseases Based on Stack Ensemble
- (2021) Haixia Qi et al. Applied Sciences-Basel
- IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
- (2021) Nidhi Kundu et al. SENSORS
- A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
- (2021) Vijaypal Singh Dhaka et al. SENSORS
- Bioinformatic tools support decision-making in plant disease management
- (2021) An-Yu Dong et al. TRENDS IN PLANT SCIENCE
- Dual-branch, efficient, channel attention-based crop disease identification
- (2021) Ronghua Gao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network
- (2021) Hongfeng You et al. KNOWLEDGE-BASED SYSTEMS
- Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review
- (2021) Krishna Neupane et al. Remote Sensing
- Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations
- (2021) Michal Wieczorek et al. IEEE Transactions on Industrial Informatics
- Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
- (2020) Yunchao Tang et al. Frontiers in Plant Science
- A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks
- (2020) Xiaoyue Xie et al. Frontiers in Plant Science
- Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices
- (2020) Zhiwen Mi et al. Frontiers in Plant Science
- Dealing with uncertainty in famine predictions: How complex events affect food security early warning skill in the Greater Horn of Africa
- (2020) P. Krishna Krishnamurthy et al. Global Food Security-Agriculture Policy Economics and Environment
- A Survey of the Usages of Deep Learning for Natural Language Processing
- (2020) Daniel W. Otter et al. IEEE Transactions on Neural Networks and Learning Systems
- Cucumber leaf disease identification with global pooling dilated convolutional neural network
- (2019) Shanwen Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Plant disease identification using explainable 3D deep learning on hyperspectral images
- (2019) Koushik Nagasubramanian et al. Plant Methods
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Research on deep learning in apple leaf disease recognition
- (2019) Yong Zhong 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
- Deep learning for remote sensing image classification: A survey
- (2018) Ying Li et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- 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
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