Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing

Photogrammetry for the estimation of wheat biomass and harvest index

(2018) James Walter et al.   FIELD CROPS RESEARCH

Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields

(2018) Isidro Campos et al.   FIELD CROPS RESEARCH

Characterizing soybean vigor and productivity using multiple crop canopy sensor readings

(2018) Joshua J. Miller et al.   FIELD CROPS RESEARCH

PROCWT: Coupling PROSPECT with continuous wavelet transform to improve the retrieval of foliar chemistry from leaf bidirectional reflectance spectra

(2018) Dong Li et al.   REMOTE SENSING OF ENVIRONMENT

Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping

(2017) Sylvain Jay et al.   FIELD CROPS RESEARCH

Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle

(2017) T. Duan et al.   FIELD CROPS RESEARCH

An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping

(2017) Kang Yu et al.   Plant Methods

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang et al.   Frontiers in Plant Science

Detection of rice phenology through time series analysis of ground-based spectral index data

(2016) Hengbiao Zheng et al.   FIELD CROPS RESEARCH

Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform

(2016) Neil Yu et al.   REMOTE SENSING OF ENVIRONMENT

Field-based crop phenotyping: Multispectral aerial imaging for evaluation of winter wheat emergence and spring stand

(2015) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars

(2015) Tyler J. Nigon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

(2015) Sindhuja Sankaran et al.   EUROPEAN JOURNAL OF AGRONOMY

Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

(2015) Clement Atzberger et al.   International Journal of Applied Earth Observation and Geoinformation

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

(2015) M Zaman-Allah et al.   Plant Methods

Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping

(2015) Victoria Gonzalez-Dugo et al.   Remote Sensing

Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

(2015) Sebastian Candiago et al.   Remote Sensing

Characterizing Changes in Soybean Spectral Response Curves with Breeding Advancements

(2014) Brent S. Christenson et al.   CROP SCIENCE

Historical gains in soybean (Glycine max Merr.) seed yield are driven by linear increases in light interception, energy conversion, and partitioning efficiencies

(2014) Robert P. Koester et al.   JOURNAL OF EXPERIMENTAL BOTANY

Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing

(2014) R. Ballesteros et al.   PRECISION AGRICULTURE

Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping

(2014) Scott Chapman et al.   Agronomy-Basel

Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

(2014) David Deery et al.   Agronomy-Basel

Wheat genotypic variability in grain yield and carbon isotope discrimination under Mediterranean conditions assessed by spectral reflectance

(2013) Gustavo A. Lobos et al.   Journal of Integrative Plant Biology

Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack)

(2013) Katharina V. Alheit et al.   THEORETICAL AND APPLIED GENETICS

Field high-throughput phenotyping: the new crop breeding frontier

(2013) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Classifying cultivars of rice (Oryza sativa L.) based on corrected canopy reflectance spectra data using the orthogonal projections to latent structures (O-PLS) method

(2012) Wen-Shin Lin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes

(2012) V.S. Weber et al.   FIELD CROPS RESEARCH

Field-based phenomics for plant genetics research

(2012) Jeffrey W. White et al.   FIELD CROPS RESEARCH

Application of low altitude remote sensing (LARS) platform for monitoring crop growth and weed infestation in a soybean plantation

(2012) Grianggai Samseemoung et al.   PRECISION AGRICULTURE

An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds

(2012) Darren Turner et al.   Remote Sensing

Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy

(2011) Agustin Pimstein et al.   FIELD CROPS RESEARCH

Comparisons of Two Hand-Held, Multispectral Field Radiometers and a Hyperspectral Airborne Imager in Terms of Predicting Spring Wheat Grain Yield and Quality by Means of Powered Partial Least Squares Regression

(2010) Stein Ivar Øvergaard et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

DTH8 Suppresses Flowering in Rice, Influencing Plant Height and Yield Potential Simultaneously

(2010) X. Wei et al.   PLANT PHYSIOLOGY

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing