Cargando…

A novel method for peanut variety identification and classification by Improved VGG16

Crop variety identification is an essential link in seed detection, phenotype collection and scientific breeding. This paper takes peanut as an example to explore a new method for crop variety identification. Peanut is a crucial oil crop and cash crop. The yield and quality of different peanut varie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Haoyan, Ni, Jiangong, Gao, Jiyue, Han, Zhongzhi, Luan, Tao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333428/ https://www.ncbi.nlm.nih.gov/pubmed/34344983 http://dx.doi.org/10.1038/s41598-021-95240-y

Ejemplares similares

Construction of VGG16 Convolution Neural Network (VGG16_CNN) Classifier with NestNet-Based Segmentation Paradigm for Brain Metastasis Classification
por: Alshammari, Abdulaziz
Publicado: (2022)

A new model based on improved VGG16 for corn weed identification
por: Yang, Le, et al.
Publicado: (2023)

Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM
por: Krishnaswamy Rangarajan, Aravind, et al.
Publicado: (2020)

A fusion of VGG-16 and ViT models for improving bone tumor classification in computed tomography
por: Chen, Weimin, et al.
Publicado: (2023)

Study on Identification Method of Pulmonary Nodules: Improved Random Walk Pulmonary Parenchyma Segmentation and Fusion Multi-Feature VGG16 Nodule Classification
por: Zhang, Yanrong, et al.
Publicado: (2022)

Enhancement of VGG16 model with multi-view and spatial dropout for classification of mosquito vectors
por: Pora, Wanchalerm, et al.
Publicado: (2023)

Attention-based VGG-16 model for COVID-19 chest X-ray image classification
por: Sitaula, Chiranjibi, et al.
Publicado: (2020)

GADF-VGG16 based fault diagnosis method for HVDC transmission lines
por: Wu, Hao, et al.
Publicado: (2022)

Flame Image Processing and Classification Using a Pre-Trained VGG16 Model in Combustion Diagnosis
por: Omiotek, Zbigniew, et al.
Publicado: (2021)

Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion
por: Kong, Lingzhi, et al.
Publicado: (2022)

Deep learning-based weld defect classification using VGG16 transfer learning adaptive fine-tuning
por: Kumaresan, Samuel, et al.
Publicado: (2023)

VGG16-random fourier hybrid model for masked face recognition
por: Sikha, O. K., et al.
Publicado: (2022)

A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA
por: Srinivasan, Saravanan, et al.
Publicado: (2023)

Influence of Peanut Varieties on the Sensory Quality of Peanut Butter
por: Sithole, Tapiwa Reward, et al.
Publicado: (2022)

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline
por: Islam, Md Nahidul, et al.
Publicado: (2021)

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
por: Bakasa, Wilson, et al.
Publicado: (2023)

VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
por: Daniel, Jesline, et al.
Publicado: (2022)

VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Optimization of pneumonia CT classification model using RepVGG and spatial attention features
por: Zhang, Qinyi, et al.
Publicado: (2023)

Genetic syndromes screening by facial recognition technology: VGG-16 screening model construction and evaluation
por: Hong, Dian, et al.
Publicado: (2021)

Application of a Novel and Improved VGG-19 Network in the Detection of Workers Wearing Masks
por: Xiao, Jian, et al.
Publicado: (2020)

Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition
por: Cheah, Kit Hwa, et al.
Publicado: (2021)

Transfer learning for image classification using VGG19: Caltech-101 image data set
por: Bansal, Monika, et al.
Publicado: (2021)

Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG
por: Huo, Dongyue, et al.
Publicado: (2022)

Study on image data cleaning method of early esophageal cancer based on VGG_NIN neural network
por: Li, Zhengwen, et al.
Publicado: (2022)

DTBV: A Deep Transfer-Based Bone Cancer Diagnosis System Using VGG16 Feature Extraction
por: Suganeshwari, G., et al.
Publicado: (2023)

COVID-19 prediction based on hybrid Inception V3 with VGG16 using chest X-ray images
por: Srinivas, K., et al.
Publicado: (2023)

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
por: Sengupta, Abhronil, et al.
Publicado: (2019)

Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm
por: Mohan, Ramya, et al.
Publicado: (2022)

Lightweight RepVGG-Based Cross-Modality Data Prediction Method for Solid Rocket Motors
por: Yang, Huixin, et al.
Publicado: (2023)

Recognition of Voltage Sag Sources Based on Phase Space Reconstruction and Improved VGG Transfer Learning
por: Pu, Yuting, et al.
Publicado: (2019)

Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models
por: Wu, Qingsong, et al.
Publicado: (2022)

Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network
por: Tan, Wenjun, et al.
Publicado: (2021)

BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images
por: Cao, Zili, et al.
Publicado: (2022)

Deep convolutional neural network VGG-16 model for differential diagnosing of papillary thyroid carcinomas in cytological images: a pilot study
por: Guan, Qing, et al.
Publicado: (2019)

Stroke risk prediction by color Doppler ultrasound of carotid artery-based deep learning using Inception V3 and VGG-16
por: Su, Shan-Shan, et al.
Publicado: (2023)

Identification of Moldy Peanuts under Different Varieties and Moisture Content Using Hyperspectral Imaging and Data Augmentation Technologies
por: Liu, Ziwei, et al.
Publicado: (2022)

AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM
Publicado: (2021)

VGG-COVIDNet: A Novel model for COVID detection from X-Ray and CT Scan images
por: Goyal, Lakshay, et al.
Publicado: (2023)

Extreme-Low-Speed Heavy Load Bearing Fault Diagnosis by Using Improved RepVGG and Acoustic Emission Signals
por: Jiang, Peng, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_052gqkkv8oklifakkqph3pia0t