Related references
Note: Only part of the references are listed.Few-shot vegetable disease recognition model based on image text collaborative representation learning
Chunshan Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Research on deep learning in apple leaf disease recognition
Yong Zhong et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Fine-Grained Visual-Textual Representation Learning
Xiangteng He et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)
Using deep transfer learning for image-based plant disease identification
Junde Chen et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A solanaceae disease recognition model based on SE-Inception
Zhenbo Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A comparative study of fine-tuning deep learning models for plant disease identification
Edna Chebet Too et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Identification of plant leaf diseases using a nine-layer deep convolutional neural network
G. Geetharamani et al.
COMPUTERS & ELECTRICAL ENGINEERING (2019)
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Deep learning models for plant disease detection and diagnosis
Konstantinos P. Ferentinos
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Alvaro Fuentes et al.
SENSORS (2017)
Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning
Guan Wang et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Fine-grained Image Classification via Combining Vision and Language
Xiangteng He et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Using Deep Learning for Image-Based Plant Disease Detection
Sharada P. Mohanty et al.
FRONTIERS IN PLANT SCIENCE (2016)
Training and assessing classification rules with imbalanced data
Giovanna Menardi et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2014)
Classification of highly unbalanced CYP450 data of drugs using cost sensitive machine learning techniques
T. Eitrich et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2007)
Share Paper
