Development and Validation of a Model to Combine NDVI and Plant Height for High-Throughput Phenotyping of Herbage Yield in a Perennial Ryegrass Breeding Program

Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton

(2019) Alison Thompson et al.   Remote Sensing

Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System

(2019) Adrien Michez et al.   Remote Sensing

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

(2019) Yiannis Ampatzidis et al.   Remote Sensing

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

(2019) Victor Rueda-Ayala et al.   SENSORS

Estimation of spatial and temporal variability of pasture growth and digestibility in grazing rotations coupling unmanned aerial vehicle (UAV) with crop simulation models

(2019) Juan R. Insua et al.   PLoS One

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

(2019) Ning Lu et al.   Plant Methods

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Estimation methods developing with remote sensing information for energy crop biomass: A comparative review

(2019) Zhenhua Chao et al.   BIOMASS & BIOENERGY

Genomic Selection in Cereal Breeding

(2019) Charlotte Robertsen et al.   Agronomy-Basel

Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging

(2019) Esther Grüner et al.   Agronomy-Basel

Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies

(2019) Alem Gebremedhin et al.   Agronomy-Basel

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery

(2019) Yaxiao Niu et al.   Remote Sensing

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

Exploitation of data from breeding programs supports rapid implementation of genomic selection for key agronomic traits in perennial ryegrass

(2018) Luke W. Pembleton et al.   THEORETICAL AND APPLIED GENETICS

Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding

(2018) Jared Crain et al.   Plant Genome

Breeding Differently—the Digital Revolution: High-Throughput Phenotyping and Genotyping

(2018) Anthony T. Slater et al.   POTATO RESEARCH

Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery

(2018) et al.   Remote Sensing

Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput Phenotyping

(2018) Alison L. Thompson et al.   Frontiers in Plant Science

Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat

(2018) Giuseppe E. Condorelli et al.   Frontiers in Plant Science

High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR

(2018) Jose A. Jimenez-Berni et al.   Frontiers in Plant Science

Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS

(2018) Wenan Yuan et al.   SENSORS

Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle

(2018) Yue Mu et al.   Horticulture Research

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

High Throughput Phenotyping of Blueberry Bush Morphological Traits Using Unmanned Aerial Systems

(2017) et al.   Remote Sensing

Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice

(2017) Paul Tanger et al.   Scientific Reports

High throughput phenotyping of cotton plant height using depth images under field conditions

(2016) Yu Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

(2016) Wang Li et al.   ECOLOGICAL INDICATORS

Genetic gain in perennial ryegrass (Lolium perenne) varieties 1973 to 2013

(2016) J. McDonagh et al.   EUPHYTICA

Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries

(2016) Atena Haghighattalab et al.   Plant Methods

Referencing laser and ultrasonic height measurements of barleycultivars by using a herbometre as standard

(2016) Gero Barmeier et al.   Crop & Pasture Science

Approaches for Geospatial Processing of Field-Based High-Throughput Plant Phenomics Data from Ground Vehicle Platforms

(2016)   Transactions of the ASABE

A Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture Biomass in Tall Fescue (Festuca arundinacea var. Fletcher)

(2016) Michael Schaefer et al.   Remote Sensing

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

(2016) Fenner Holman et al.   Remote Sensing

A Direct Comparison of Remote Sensing Approaches for High-Throughput Phenotyping in Plant Breeding

(2016) Maria Tattaris et al.   Frontiers in Plant Science

Estimation in the Field of Individual Perennial Ryegrass Plant Position and Dry Matter Production Using a Custom-Made High-Throughput Image Analysis Tool

(2015) Chris L. Hunt et al.   CROP SCIENCE

Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States

(2015) Kusuma Prabhakara et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

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

Estimation of Biomass and Canopy Height in Bermudagrass, Alfalfa, and Wheat Using Ultrasonic, Laser, and Spectral Sensors

(2015) Jeremy Pittman et al.   SENSORS

Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass

(2015) Nora Tilly 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

Combining ultrasonic sward height and spectral signatures to assess the biomass of legume–grass swards

(2013) Thomas Fricke et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Will genomic selection be a practical method for plant breeding?

(2012) Akihiro Nakaya et al.   ANNALS OF BOTANY

NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

(2011) L. Cabrera-Bosquet et al.   CEREAL RESEARCH COMMUNICATIONS

Extended-altitude, aerial mapping of crop NDVI using an active optical sensor: A case study using a Raptor™ sensor over wheat

(2011) D.W. Lamb et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of forage mass from grassland swards by height measurement using an ultrasonic sensor

(2011) Thomas Fricke et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Breeding perennial grasses for forage usage: An experimental assessment of trait changes in diploid perennial ryegrass (Lolium perenne L.) cultivars released in the last four decades

(2011) Jean-Paul Sampoux et al.   FIELD CROPS RESEARCH

Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations

(2009) Arnon Karnieli et al.   JOURNAL OF CLIMATE

Simulating pasture growth rates in Australian and New Zealand grazing systems

(2008) B. R. Cullen et al.