Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines
Authors
Keywords
-
Journal
Frontiers in Plant Science
Volume 8, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2017-09-08
DOI
10.3389/fpls.2017.01532
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bigger is not always better: Reducing leaf area helps stay-green sorghum use soil water more slowly
- (2017) Barbara George-Jaeggli et al. ENVIRONMENTAL AND EXPERIMENTAL BOTANY
- Yield trends under varying environmental conditions for sorghum and wheat across Australia
- (2016) Andries B. Potgieter et al. AGRICULTURAL AND FOREST METEOROLOGY
- Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries
- (2016) Atena Haghighattalab et al. Plant Methods
- The shifting influence of drought and heat stress for crops in northeast Australia
- (2015) David B. Lobell et al. GLOBAL CHANGE BIOLOGY
- Fitting Linear Mixed-Effects Models Usinglme4
- (2015) Douglas Bates et al. Journal of Statistical Software
- A scalable satellite-based crop yield mapper
- (2015) David B. Lobell et al. REMOTE SENSING OF ENVIRONMENT
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
- (2015) Sebastian Candiago et al. Remote Sensing
- Drought adaptation of stay-green sorghum is associated with canopy development, leaf anatomy, root growth, and water uptake
- (2014) Andrew K. Borrell et al. JOURNAL OF EXPERIMENTAL BOTANY
- Stay-green alleles individually enhance grain yield in sorghum under drought by modifying canopy development and water uptake patterns
- (2014) Andrew K. Borrell et al. NEW PHYTOLOGIST
- Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
- (2014) Scott Chapman et al. Agronomy-Basel
- Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields
- (2013) Adam M. Sibley et al. AGRONOMY JOURNAL
- The Relationship Between the Stay-Green Trait and Grain Yield in Elite Sorghum Hybrids Grown in a Range of Environments
- (2012) D. R. Jordan et al. CROP SCIENCE
- Field-based phenomics for plant genetics research
- (2012) Jeffrey W. White et al. FIELD CROPS RESEARCH
- Comparison of different vegetation indices for the remote assessment of green leaf area index of crops
- (2011) Andrés Viña et al. REMOTE SENSING OF ENVIRONMENT
- Three decades of hyperspectral remote sensing of the Earth: A personal view
- (2009) Alexander F.H. Goetz REMOTE SENSING OF ENVIRONMENT
- Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots
- (2008) Camille Lelong et al. SENSORS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More