Cargando…

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network

Image processing technologies are available for high-throughput acquisition and analysis of phenotypes for crop populations, which is of great significance for crop growth monitoring, evaluation of seedling condition, and cultivation management. However, existing methods rely on empirical segmentati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Yinglun, Wen, Weiliang, Guo, Xinyu, Yu, Zetao, Gu, Shenghao, Yan, Haipeng, Zhao, Chunjiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802938/ https://www.ncbi.nlm.nih.gov/pubmed/33434222 http://dx.doi.org/10.1371/journal.pone.0241528

Ejemplares similares

Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform
por: Li, Yinglun, et al.
Publicado: (2023)

Dissecting the phenotypic components and genetic architecture of maize stem vascular bundles using high‐throughput phenotypic analysis
por: Zhang, Ying, et al.
Publicado: (2020)

Dissecting the Genetic Structure of Maize Leaf Sheaths at Seedling Stage by Image-Based High-Throughput Phenotypic Acquisition and Characterization
por: Wang, Jinglu, et al.
Publicado: (2022)

Use of 3D modeling to refine predictions of canopy light utilization: A comparative study on canopy photosynthesis models with different dimensions
por: Gu, Shenghao, et al.
Publicado: (2022)

Three-dimensional branch segmentation and phenotype extraction of maize tassel based on deep learning
por: Zhang, Wenqi, et al.
Publicado: (2023)

Genome-Wide Association Study of Maize Aboveground Dry Matter Accumulation at Seedling Stage
por: Lu, Xianju, et al.
Publicado: (2021)

Investigating the genetic basis of maize ear characteristics: a comprehensive genome-wide study utilizing high-throughput phenotypic measurement method and system
por: Wang, Jinglu, et al.
Publicado: (2023)

Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
por: Guo, Shangjing, et al.
Publicado: (2023)

Application of Internet of Things to Agriculture—The LQ-FieldPheno Platform: A High-Throughput Platform for Obtaining Crop Phenotypes in Field
por: Fan, Jiangchuan, et al.
Publicado: (2023)

3D phytomer-based geometric modelling method for plants—the case of maize
por: Wen, Weiliang, et al.
Publicado: (2021)

In situ evaluation of stalk lodging resistance for different maize (Zea mays L.) cultivars using a mobile wind machine
por: Wen, Weiliang, et al.
Publicado: (2019)

Label3DMaize: toolkit for 3D point cloud data annotation of maize shoots
por: Miao, Teng, et al.
Publicado: (2021)

High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
por: Zhang, Ying, et al.
Publicado: (2018)

Disentangling the Heterosis in Biomass Production and Radiation Use Efficiency in Maize: A Phytomer-Based 3D Modelling Approach
por: Liu, Xiang, et al.
Publicado: (2023)

Crop Phenomics: Current Status and Perspectives
por: Zhao, Chunjiang, et al.
Publicado: (2019)

Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
por: Ma, Xu, et al.
Publicado: (2019)

Focal segmental glomerulosclerosis and end-stage kidney disease in children
por: Gheissari, Alaleh
Publicado: (2015)

Involvement of Phospholipase C in Photosynthesis and Growth of Maize Seedlings
por: Wei, Yulei, et al.
Publicado: (2022)

Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform
por: Han, Liang, et al.
Publicado: (2019)

Estimation of rice seedling growth traits with an end-to-end multi-objective deep learning framework
por: Ye, Ziran, et al.
Publicado: (2023)

Genome-wide expression profiling and phenotypic evaluation of European maize inbreds at seedling stage in response to heat stress
por: Frey, Felix P, et al.
Publicado: (2015)

Are segments of the developing world competing in end-stage renal disease (ESRD)?
por: Mungrue, Kameel
Publicado: (2008)

Design and force analysis of end-effector for plug seedling transplanter
por: Jiang, Zhuohua, et al.
Publicado: (2017)

Identification of transcriptome induced in roots of maize seedlings at the late stage of waterlogging
por: Zou, Xiling, et al.
Publicado: (2010)

A high-throughput phenotyping procedure for evaluation of antixenosis against common cutworm at early seedling stage in soybean
por: Xing, Guangnan, et al.
Publicado: (2017)

Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize
por: Anche, Mahlet T., et al.
Publicado: (2020)

RC-Net: Regression Correction for End-To-End Chromosome Instance Segmentation
por: Liu, Hui, et al.
Publicado: (2022)

High-throughput and automatic structural and developmental root phenotyping on Arabidopsis seedlings
por: Fernandez, Romain, et al.
Publicado: (2022)

An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection
por: Toma, Tabassum Islam, et al.
Publicado: (2023)

Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce
por: Yu, Shuan, et al.
Publicado: (2022)

An end-to-end software solution for the analysis of high-throughput single-cell migration data
por: Masuzzo, Paola, et al.
Publicado: (2017)

End-to-end QoS network design
por: Szigeti, Tim
Publicado: (2013)

End-to-end qos network design
por: Szigeti, Tim, et al.
Publicado: (2005)

End of Life Care in End-Stage Kidney Disease
por: Prabhu, Ravindra Attur, et al.
Publicado: (2021)

Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage
por: Li, Yinglun, et al.
Publicado: (2023)

Genetic variation for maize root architecture in response to drought stress at the seedling stage
por: Li, Rongyao, et al.
Publicado: (2015)

AM-UNet: automated mini 3D end-to-end U-net based network for brain claustrum segmentation
por: Albishri, Ahmed Awad, et al.
Publicado: (2022)

Efficient end-to-end learning for cell segmentation with machine generated weak annotations
por: Shrestha, Prem, et al.
Publicado: (2023)

Characterization and genetic dissection of maize ear leaf midrib acquired by 3D digital technology
por: Wu, Sheng, et al.
Publicado: (2022)

Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins
por: Kandathil, Shaun M., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3q95dti76uak5dhs8s4h1dfvrl