Cargando…

Identification of Bacterial Blight Resistant Rice Seeds Using Terahertz Imaging and Hyperspectral Imaging Combined With Convolutional Neural Network

Because bacterial blight (BB) disease seriously affects the yield and quality of rice, breeding BB resistant rice is an important priority for plant breeders but the process is time-consuming. The feasibility of using terahertz imaging technology and near-infrared hyperspectral imaging technology to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jinnuo, Yang, Yong, Feng, Xuping, Xu, Hongxia, Chen, Jianping, He, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326944/ https://www.ncbi.nlm.nih.gov/pubmed/32670316 http://dx.doi.org/10.3389/fpls.2020.00821

Ejemplares similares

Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique
por: Bai, Xiulin, et al.
Publicado: (2022)

Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning
por: Yang, Yong, et al.
Publicado: (2020)

Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution
por: Cao, Yifei, et al.
Publicado: (2022)

Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning
por: Zhang, Jinnuo, et al.
Publicado: (2022)

Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network
por: Li, Xiyao, et al.
Publicado: (2023)

Identification of Rice Sheath Blight through Spectral Responses Using Hyperspectral Images
por: Lin, Fenfang, et al.
Publicado: (2020)

Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging
por: Feng, Xuping, et al.
Publicado: (2017)

Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging
por: He, Xiantao, et al.
Publicado: (2019)

Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network
por: Wu, Na, et al.
Publicado: (2019)

Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection
por: Feng, Lei, et al.
Publicado: (2021)

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network
por: Fan, Yaoyao, et al.
Publicado: (2023)

Intelligent identification of film on cotton based on hyperspectral imaging and convolutional neural network
por: Liu, Zongbin, et al.
Publicado: (2022)

Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning
por: Qi, Hengnian, et al.
Publicado: (2023)

Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging
por: Xie, Chuanqi, et al.
Publicado: (2015)

Application of hyperspectral imaging and chemometrics for variety classification of maize seeds
por: Zhao, Yiying, et al.
Publicado: (2018)

Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model
por: Liu, Keng-Hao, et al.
Publicado: (2022)

Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network
por: Zhu, Susu, et al.
Publicado: (2019)

Research Progress on Cloning and Function of Xa Genes Against Rice Bacterial Blight
por: Yang, Yong, et al.
Publicado: (2022)

Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification
por: Orozco, Jairo, et al.
Publicado: (2023)

Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data
por: Yadav, Pappu Kumar, et al.
Publicado: (2022)

Detection of peanut seed vigor based on hyperspectral imaging and chemometrics
por: Zou, Zhiyong, et al.
Publicado: (2023)

Quantifying physiological trait variation with automated hyperspectral imaging in rice
por: Ting, To-Chia, et al.
Publicado: (2023)

Phage combination alleviates bacterial leaf blight of rice (Oryza sativa L.)
por: Jiang, Hubiao, et al.
Publicado: (2023)

Gene Pyramiding for Achieving Enhanced Resistance to Bacterial Blight, Blast, and Sheath Blight Diseases in Rice
por: Ramalingam, Jegadeesan, et al.
Publicado: (2020)

Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis
por: Kong, Wenwen, et al.
Publicado: (2013)

Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping
por: Zhang, Jinnuo, et al.
Publicado: (2023)

Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images
por: Wang, Fumin, et al.
Publicado: (2022)

Effects of Image Dataset Configuration on the Accuracy of Rice Disease Recognition Based on Convolution Neural Network
por: Zhou, Huiru, et al.
Publicado: (2022)

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
por: Li, Simin, et al.
Publicado: (2019)

Phenotyping Fusarium head blight through seed morphology characteristics using RGB imaging
por: Leiva, Fernanda, et al.
Publicado: (2022)

Discrimination of Chrysanthemum Varieties Using Hyperspectral Imaging Combined with a Deep Convolutional Neural Network
por: Wu, Na, et al.
Publicado: (2018)

Accurate Digitization of the Chlorophyll Distribution of Individual Rice Leaves Using Hyperspectral Imaging and an Integrated Image Analysis Pipeline
por: Feng, Hui, et al.
Publicado: (2017)

Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
por: Polder, Gerrit, et al.
Publicado: (2019)

Detection of seed purity of hybrid wheat using reflectance and transmittance hyperspectral imaging technology
por: Zhang, Han, et al.
Publicado: (2022)

Non-destructive Determination of Shikimic Acid Concentration in Transgenic Maize Exhibiting Glyphosate Tolerance Using Chlorophyll Fluorescence and Hyperspectral Imaging
por: Feng, Xuping, et al.
Publicado: (2018)

Cross-Talk Signaling in Rice During Combined Drought and Bacterial Blight Stress
por: Vemanna, Ramu S., et al.
Publicado: (2019)

Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network
por: Zhang, Jinsong, et al.
Publicado: (2018)

Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging
por: Yan, Tianying, et al.
Publicado: (2021)

Bio-functionalized nickel-silica nanoparticles suppress bacterial leaf blight disease in rice (Oryza sativa L.)
por: Abdallah, Yasmine, et al.
Publicado: (2023)

Identification of Weeds Based on Hyperspectral Imaging and Machine Learning
por: Li, Yanjie, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_d8a39140c5lardorcdcee65263