Elucidating Sorghum Biomass, Nitrogen and Chlorophyll Contents With Spectral and Morphological Traits Derived From Unmanned Aircraft System
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Elucidating Sorghum Biomass, Nitrogen and Chlorophyll Contents With Spectral and Morphological Traits Derived From Unmanned Aircraft System
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-10-02
DOI
10.3389/fpls.2018.01406
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding
- (2018) Pengcheng Hu et al. EUROPEAN JOURNAL OF AGRONOMY
- Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery
- (2018) L. Malambo et al. International Journal of Applied Earth Observation and Geoinformation
- Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development
- (2018) Sanaz Shafian et al. PLoS One
- Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
- (2017) Tao Duan et al. FUNCTIONAL PLANT BIOLOGY
- The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system
- (2017) Norbert Kirchgessner et al. FUNCTIONAL PLANT BIOLOGY
- Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
- (2017) Nicolas Virlet et al. FUNCTIONAL PLANT BIOLOGY
- Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment
- (2017) Carly Stanton et al. Journal of Applied Remote Sensing
- Spatio-temporal evaluation of plant height in corn via unmanned aerial systems
- (2017) Sebastian Varela et al. Journal of Applied Remote Sensing
- Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
- (2017) Samuel B. Fernandes et al. THEORETICAL AND APPLIED GENETICS
- Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
- (2017) Jibo Yue et al. Remote Sensing
- Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines
- (2017) Andries B. Potgieter et al. Frontiers in Plant Science
- High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling
- (2017) Kakeru Watanabe et al. Frontiers in Plant Science
- High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance
- (2016) Craig R. Yendrek et al. PLANT PHYSIOLOGY
- Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
- (2016) Yeyin Shi et al. PLoS One
- Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery Classification
- (2015) Weiwei Sun et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
- (2015) Juliane Bendig et al. International Journal of Applied Earth Observation and Geoinformation
- Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
- (2015) Nora Tilly et al. Remote Sensing
- Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System
- (2014) Jakob Geipel et al. Remote Sensing
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
- (2014) Juliane Bendig et al. Remote Sensing
- Development of a Mobile Multispectral Imaging Platform for Precise Field Phenotyping
- (2014) Jesper Svensgaard et al. Agronomy-Basel
- A comparative analysis of spectral vegetation indices to estimate crop leaf area index
- (2013) Yuanyuan Fu et al. INTELLIGENT AUTOMATION AND SOFT COMPUTING
- Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels
- (2013) M. Schlemmer et al. International Journal of Applied Earth Observation and Geoinformation
- Phenomics – technologies to relieve the phenotyping bottleneck
- (2011) Robert T. Furbank et al. TRENDS IN PLANT SCIENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started