标题
Convolutional Neural Networks for the Automatic Identification of Plant Diseases
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-07-23
DOI
10.3389/fpls.2019.00941
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
- 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
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Artificial intelligence faces reproducibility crisis
- (2018) Matthew Hutson SCIENCE
- 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
- A systematic study of the class imbalance problem in convolutional neural networks
- (2018) Mateusz Buda et al. NEURAL NETWORKS
- 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
- Active Deep Learning for Classification of Hyperspectral Images
- (2017) Peng Liu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning
- (2017) Chad DeChant et al. PHYTOPATHOLOGY
- Exposure to pesticides and the associated human health effects
- (2017) Ki-Hyun Kim et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- 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
- A review on the main challenges in automatic plant disease identification based on visible range images
- (2016) Jayme Garcia Arnal Barbedo BIOSYSTEMS ENGINEERING
- 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
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Advanced methods of plant disease detection. A review
- (2014) Federico Martinelli et al. Agronomy for Sustainable Development
- Pesticides linked to bird declines
- (2014) Dave Goulson NATURE
- Pesticide Residues and Bees – A Risk Assessment
- (2014) Francisco Sanchez-Bayo et al. PLoS One
- Recent advances in sensing plant diseases for precision crop protection
- (2012) Anne-Katrin Mahlein et al. EUROPEAN JOURNAL OF PLANT PATHOLOGY
- Reproducible Research in Computational Science
- (2011) R. D. Peng SCIENCE
- A review of advanced techniques for detecting plant diseases
- (2010) Sindhuja Sankaran et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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