On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves
出版年份 2022 全文链接
标题
On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-04-18
DOI
10.1007/s00521-022-07246-w
参考文献
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。- Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning
- (2021) Malusi Sibiya et al. Pathogens
- An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
- (2020) Abdul Waheed et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using deep transfer learning for image-based plant disease identification
- (2020) Junde Chen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Attention embedded lightweight network for maize disease recognition
- (2020) Junde Chen et al. PLANT PATHOLOGY
- Plant leaf disease classification using EfficientNet deep learning model
- (2020) Ümit Atila et al. Ecological Informatics
- VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant
- (2020) Rakesh Chandra Joshi et al. Ecological Informatics
- Maize leaf disease classification using deep convolutional neural networks
- (2019) Ramar Ahila Priyadharshini et al. NEURAL COMPUTING & APPLICATIONS
- Plant Disease Detection and Classification by Deep Learning
- (2019) Saleem et al. Plants-Basel
- Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
- (2019) Maher Ibrahim Sameen et al. CATENA
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris 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 review of the use of convolutional neural networks in agriculture
- (2018) A. Kamilaris et al. JOURNAL OF AGRICULTURAL SCIENCE
- A review of the use of convolutional neural networks in agriculture
- (2018) A. Kamilaris et al. JOURNAL OF AGRICULTURAL SCIENCE
- Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks
- (2018) Xihai Zhang et al. IEEE Access
- Artificial intelligence in healthcare: past, present and future
- (2017) Fei Jiang et al. JOURNAL OF INVESTIGATIVE MEDICINE
- 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 learning
- (2015) Yann LeCun et al. NATURE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security
- (2011) Bekele Shiferaw et al. Food Security
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now