Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
about
Crop improvement using life cycle datasets acquired under field conditionsA Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives.Genetic Architecture of Phenomic-Enabled Canopy Coverage in Glycine max.Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation.Phenobook: An open source software for phenotypic data collection.A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization.Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseriesHigh-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling.An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping.Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize.Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment.Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of Heterodera schachtii inoculation on sugar beets.Plant phenotyping: from bean weighing to image analysis.Differential manipulation of leaf angle throughout the canopy: current status and prospects.The Quest for Understanding Phenotypic Variation via Integrated Approaches in the Field Environment.Integration of multi-omics techniques and physiological phenotyping within a holistic phenomics approach to study senescence in model and crop plants.Genomics-Enabled Next-Generation Breeding Approaches for Developing System-Specific Drought Tolerant Hybrids in Maize.Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination.Affordable Imaging Lab for Noninvasive Analysis of Biomass and Early Vigour in Cereal Crops.UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indicesAssociation mapping by aerial drone reveals 213 genetic associations for Sorghum bicolor biomass traits under drought
P2860
Q26781189-ECCE699F-30EC-48FA-BD7F-A93F9EBC0339Q33361210-81A6058E-5505-4EC0-B16C-3AE09F0D80DCQ33858512-4A3AB9D3-7DF0-41F7-8C19-95A9773E9AF3Q33877438-2A2361F7-D858-4831-88FC-B499027D5DA9Q35677058-10A07398-2115-419D-A408-7B67133350CEQ36317788-208F5B18-8F18-49AB-8058-A819FFC2CC6DQ36909655-91028664-E40B-4D6A-BF6E-C26B6EF114CCQ37037976-C744B4C9-0960-4CE0-A362-5A501F4C0D47Q37723470-715C037F-8CEC-49A0-92B4-CDA4A9175BDEQ38875164-17C8AC23-8AB4-452A-B539-72A07A6097F2Q38992097-2697D674-E023-4AE8-A349-C4B88EA254EFQ41050330-CC5537B5-33FB-4DE1-965D-2FA57418B063Q41107662-49FF35CE-27D2-4C96-BE53-693EA6665725Q43183958-966EC1E5-4B1D-4F57-9274-11A0BB2150ADQ46263819-B43177D6-5D08-4CE5-B97E-192ED5E26698Q48132261-A04D97FB-BCB9-46EC-8315-4856596A98E2Q49998093-C630A1F8-747D-4B6E-A5F6-C19367A14D4FQ52562638-95011172-714B-4B17-A2E9-8014C7F52013Q55276197-E2299E3C-D0E3-48CB-A890-5760F10EF108Q55332239-DABB85AD-F250-459B-A687-527093A94943Q58393003-ECE5626E-EB89-4063-95BE-346211276948Q58732572-031B3801-2CD7-47C6-A74A-61D4C03FE754
P2860
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
description
2015 nî lūn-bûn
@nan
2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի փետրվարին 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
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@ast
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@en
type
label
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@ast
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@en
prefLabel
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@ast
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@en
P2860
P50
P1433
P1476
Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach.
@en
P2093
David Schneider
Norbert Kirchgessner
P2860
P2888
P356
10.1186/S13007-015-0048-8
P577
2015-02-25T00:00:00Z
P5875
P6179
1048813799