Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat
Authors
Keywords
Precision agriculture, Variable-rate technology, Hyperspectral imaging, Colour-infrared images
Journal
PRECISION AGRICULTURE
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-03-16
DOI
10.1007/s11119-018-9562-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using an unmanned aerial vehicle to evaluate nitrogen variability and height effect with an active crop canopy sensor
- (2017) Brian Krienke et al. PRECISION AGRICULTURE
- The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager
- (2017) Guijun Yang et al. Remote Sensing
- Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?
- (2016) Jesper Rasmussen et al. EUROPEAN JOURNAL OF AGRONOMY
- Prediction of Soil Moisture Content and Soil Salt Concentration from Hyperspectral Laboratory and Field Data
- (2016) Chi Xu et al. Remote Sensing
- Sequential application of hyperspectral indices for delineation of stripe rust infection and nitrogen deficiency in wheat
- (2015) R. Devadas et al. PRECISION AGRICULTURE
- Spectral Index for Quantifying Leaf Area Index of Winter Wheat by Field Hyperspectral Measurements: A Case Study in Gifu Prefecture, Central Japan
- (2015) Shinya Tanaka et al. Remote Sensing
- Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
- (2015) Nora Tilly et al. Remote Sensing
- Temporal Dependency of Yield and Quality Estimation through Spectral Vegetation Indices in Pear Orchards
- (2015) Jonathan Van Beek et al. Remote Sensing
- The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI
- (2015) Bastian Siegmann et al. Remote Sensing
- The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping
- (2015) Elfatih Abdel-Rahman et al. Remote Sensing
- Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data
- (2015) Itiya Aneece et al. Remote Sensing
- Estimation of soil organic carbon from airborne hyperspectral thermal infrared data: a case study
- (2014) S. Pascucci et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Unmanned aerial systems for photogrammetry and remote sensing: A review
- (2014) I. Colomina et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Exploring Novel Bands and Key Index for Evaluating Leaf Equivalent Water Thickness in Wheat Using Hyperspectra Influenced by Nitrogen
- (2014) Xia Yao et al. PLoS One
- Applications of Low Altitude Remote Sensing in Agriculture upon Farmers' Requests– A Case Study in Northeastern Ontario, Canada
- (2014) Chunhua Zhang et al. PLoS One
- An approach for assessing the effects of site-specific fertilization on crop growth and yield of durum wheat in organic agriculture
- (2014) M. Diacono et al. PRECISION AGRICULTURE
- Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)
- (2014) G. R. Mahajan et al. PRECISION AGRICULTURE
- A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles
- (2014) Juha Suomalainen et al. Remote Sensing
- Separating Crop Species in Northeastern Ontario Using Hyperspectral Data
- (2014) Jeffrey Wilson et al. Remote Sensing
- A review of precision fertilization research
- (2013) Can Chen et al. Environmental Earth Sciences
- Lightweight unmanned aerial vehicles will revolutionize spatial ecology
- (2013) Karen Anderson et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
- ‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging
- (2013) Han Li et al. PRECISION AGRICULTURE
- A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances
- (2013) Rafael Muñoz-Huerta et al. SENSORS
- Estimating crown defoliation of Scots pine (Pinus sylvestris L.) trees using small format digital aerial images
- (2013) G Mozgeris et al. iForest-Biogeosciences and Forestry
- Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices
- (2013) Kang Yu et al. Remote Sensing
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
- (2013) Eija Honkavaara et al. Remote Sensing
- Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
- (2012) David J. Mulla BIOSYSTEMS ENGINEERING
- Assessment of plant nitrogen stress in wheat (Triticum aestivum L.) through hyperspectral indices
- (2012) Rajeev Ranjan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Hyperspectral indices for estimating leaf biochemical properties in temperate deciduous forests: Comparison of simulated and measured reflectance data sets
- (2011) Quan Wang et al. ECOLOGICAL INDICATORS
- Monitoring nitrogen concentration of oilseed rape from hyperspectral data using radial basis function
- (2011) Fumin Wang et al. International Journal of Digital Earth
- Detection of stressed oil palms from an airborne sensor using optimized spectral indices
- (2011) Helmi Zulhaidi M. Shafri et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture
- (2011) R. R. Pullanagari et al. PRECISION AGRICULTURE
- Spectral discrimination of wild oat and canary grass in wheat fields for less herbicide application
- (2010) M. T. Gómez-Casero et al. Agronomy for Sustainable Development
- An evaluation of EO-1 hyperspectral Hyperion data for chlorophyll content and leaf area index estimation
- (2010) Chaoyang Wu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring
- (2010) E. Raymond Hunt et al. Remote Sensing
- Nitrogen status and biomass determination of oilseed rape by laser-induced chlorophyll fluorescence
- (2009) Doreen Thoren et al. EUROPEAN JOURNAL OF AGRONOMY
- Estimation of citrus yield from canopy spectral features determined by airborne hyperspectral imagery
- (2009) Xujun Ye et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- QuickBird satellite versus ground-based multi-spectral data for estimating nitrogen status of irrigated maize
- (2009) W. C. Bausch et al. PRECISION AGRICULTURE
- Automatic assessment of agro-environmental indicators from remotely sensed images of tree orchards and its evaluation using olive plantations
- (2008) L. García Torres et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A comparison of crop data measured by two commercial sensors for variable-rate nitrogen application
- (2008) Nicolas Tremblay et al. PRECISION AGRICULTURE
- Estimating chlorophyll concentration in conifer needles with hyperspectral data: An assessment at the needle and canopy level
- (2008) Inian Moorthy et al. 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
- Development of a crop‐specific spectral library and discrimination of various agricultural crop varieties using hyperspectral imagery
- (2007) N. Rama Rao INTERNATIONAL JOURNAL OF REMOTE SENSING
- Indicators of nitrogen status for ornamental woody plants based on optical measurements of leaf epidermal polyphenol and chlorophyll contents
- (2007) Sabine Demotes-Mainard et al. SCIENTIA HORTICULTURAE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started