Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses - a review
about
Fortune telling: metabolic markers of plant performanceDigital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomicsDetection of Photosynthetic Performance of Stipa bungeana Seedlings under Climatic Change using Chlorophyll Fluorescence Imaging.Verification of Geometric Model-Based Plant Phenotyping Methods for Studies of Xerophytic PlantsNon-destructive Phenotypic Analysis of Early Stage Tree Seedling Growth Using an Automated Stereovision Imaging Method.Non-destructive Phenotyping to Identify Brachiaria Hybrids Tolerant to Waterlogging Stress under Field Conditions.RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols.Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses.High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach.Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa.Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping.X-ray computed tomography to study rice (Oryza sativa L.) panicle development.High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana.rosettR: protocol and software for seedling area and growth analysis.An Automated Method for High-Throughput Screening of Arabidopsis Rosette Growth in Multi-Well Plates and Its Validation in Stress Conditions.A "Do-It-Yourself" phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants.The Arabidopsis DNA Methylome Is Stable under Transgenerational Drought Stress.GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton.GIPS: A Software Guide to Sequencing-Based Direct Gene Cloning in Forward Genetics Studies.New insights into the regulation of leaf senescence in Arabidopsis.An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis.Non-destructive Determination of Shikimic Acid Concentration in Transgenic Maize Exhibiting Glyphosate Tolerance Using Chlorophyll Fluorescence and Hyperspectral Imaging.The Variable Effect of Polyploidization on the Phenotype in Escallonia.Affordable Imaging Lab for Noninvasive Analysis of Biomass and Early Vigour in Cereal Crops.Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform.Estimation of Water Stress in Grapevines Using Proximal and Remote Sensing MethodsHigh-Throughput Plant Phenotyping for Developing Novel Biostimulants: From Lab to Field or From Field to Lab?
P2860
Q28075460-8AF88972-F5AB-454B-8F4B-726FF1BA183EQ28608152-4013F646-2608-4649-8261-A5D3A85BC5B1Q31038680-435EDBC8-0375-41AD-B2C9-3A44B409656CQ36064081-312AB444-33A0-4776-B35A-6B898318BBE5Q37373510-FF4F4F6B-6144-4764-A430-A265BD268D79Q37637458-02EB09DB-07EB-4781-86D3-BBADC0DB7717Q38623874-57D8C1B6-2F85-4BAC-BD20-FC730C26BAB8Q38629475-8C068539-15D3-472E-A906-8BEFA79CECC0Q38915921-025CD838-8F0F-4B86-8B87-BF0C2C9E2044Q39032522-C4F60215-D971-43BD-8FD6-DB3DDE5F6F41Q39085567-75C4C279-D423-4F2A-AEDE-8520C2922680Q40304618-5974CAF0-D2D8-4C19-90FE-01BF7F99C6EEQ41200092-85F44B49-9735-41E8-A573-588BB19CD77FQ41821493-C5F0EA54-AB7E-4C6A-9760-E75969AA017EQ42372895-2B415036-3C2C-4FCB-A0AA-0CF120CAAADEQ45714680-C5654E50-6BC6-4502-99CF-17E5115566AEQ47854281-16CC059D-E604-47D3-BFFF-300B70D2841DQ48204522-5298FFAC-5F7E-40E3-94A7-13CF1A5FAAACQ48247576-28F04BB4-E89C-47FF-B80F-59CED1F089C6Q48636817-49716136-8A84-4F7F-92AE-3E1FA581B9A2Q52558291-674A39A4-1460-4D3B-9E94-590FE7145A87Q52568323-AFB06E68-F025-4D99-AC3B-6628C47B4B48Q52608508-ADD808CC-50A0-4C40-9DDB-0808CDCF4DFEQ55332239-0517B631-E8E8-4148-8C74-0E3F6AD667F4Q55403092-DD828445-D977-4EF4-89B0-C0C06B40F19BQ58649833-56073323-7005-40B9-943D-D9AD496C05C6Q58781535-1D6317A5-8AC2-48C2-B2A1-F5DF518519D7
P2860
Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses - a review
description
2015 nî lūn-bûn
@nan
2015 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Automated phenotyping of plant ...... nt stress responses - a review
@ast
Automated phenotyping of plant ...... nt stress responses - a review
@en
type
label
Automated phenotyping of plant ...... nt stress responses - a review
@ast
Automated phenotyping of plant ...... nt stress responses - a review
@en
prefLabel
Automated phenotyping of plant ...... nt stress responses - a review
@ast
Automated phenotyping of plant ...... nt stress responses - a review
@en
P2093
P2860
P50
P1433
P1476
Automated phenotyping of plant ...... nt stress responses - a review
@en
P2093
Alexandra Husičková
Dušan Lazár
Jan F Humplík
P2860
P2888
P356
10.1186/S13007-015-0072-8
P577
2015-04-17T00:00:00Z
P5875
P6179
1038109911