Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

(2020) Chris Brien et al.   Plant Methods

Forecasting Yield and Lignocellulosic Composition of Energy Cane Using Unmanned Aerial Systems

(2020) Uriel Cholula et al.   Agronomy-Basel

Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean

(2020) Monica Herrero-Huerta et al.   Plant Methods

The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures

(2020) Esther Grüner et al.   PLoS One

Genome‐wide mapping and prediction of plant architecture in a sorghum nested association mapping population

(2020) Marcus O. Olatoye et al.   Plant Genome

Genetic Analysis of Stem Diameter and Water Contents To Improve Sorghum Bioenergy Efficiency

(2020) Wenqian Kong et al.   G3-Genes Genomes Genetics

Deleterious Mutation Burden and its Association with Complex Traits in Sorghum (Sorghum bicolor)

(2019) Ravi Valluru et al.   GENETICS

Hyperparameters and tuning strategies for random forest

(2019) Philipp Probst et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Estimating the nitrogen nutrition index in grass seed crops using a UAV-mounted multispectral camera

(2019) Hui Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features

(2019) Qi Jiang et al.   Remote Sensing

Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques

(2019) Ephrem Habyarimana et al.   Agronomy-Basel

Crop Phenomics: Current Status and Perspectives

(2019) Chunjiang Zhao et al.   Frontiers in Plant Science

Improving the efficiency of soybean breeding with high-throughput canopy phenotyping

(2019) Fabiana Freitas Moreira et al.   Plant Methods

Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery

(2019) Jiating Li et al.   Plant Methods

Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

(2019) Daniela Bustos-Korts et al.   Frontiers in Plant Science

Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum

(2019) Jhonathan P. R. dos Santos et al.   G3-Genes Genomes Genetics

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

Genomic prediction applied to high-biomass sorghum for bioenergy production

(2018) Amanda Avelar de Oliveira et al.   MOLECULAR BREEDING

Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

(2018) Fred van Eeuwijk et al.   PLANT SCIENCE

Translating High-Throughput Phenotyping into Genetic Gain

(2018) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features

(2018) Roope Näsi et al.   Remote Sensing

Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat

(2018) Muhammad Hassan et al.   Remote Sensing

High-Throughput Phenotyping of Canopy Cover and Senescence in Maize Field Trials Using Aerial Digital Canopy Imaging

(2018) Richard Makanza et al.   Remote Sensing

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

Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum

(2018) Sierra N. Young et al.   PRECISION AGRICULTURE

Field-based robotic phenotyping of sorghum plant architecture using stereo vision

(2018) Yin Bao et al.   Journal of Field Robotics

A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

(2018) Hengbiao Zheng et al.   Remote Sensing

Elucidating Sorghum Biomass, Nitrogen and Chlorophyll Contents With Spectral and Morphological Traits Derived From Unmanned Aircraft System

(2018) Jiating Li et al.   Frontiers in Plant Science

Performance evaluation of biomass sorghum in Hawaii and Texas

(2017) Manyowa N. Meki et al.   INDUSTRIAL CROPS AND PRODUCTS

Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach

(2017) Lukas Roth et al.   PRECISION AGRICULTURE

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

Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping

(2017) Mingquan Wu 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

QTL and Drought Effects on Leaf Physiology in Lowland Panicum virgatum

(2016) Samuel H. Taylor et al.   BioEnergy Research

Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton

(2016) Duke Pauli et al.   G3-Genes Genomes Genetics

Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

(2016) Jessica Rutkoski et al.   G3-Genes Genomes Genetics

Understanding the genetic basis of potato development using a multi-trait QTL analysis

(2015) P. X. Hurtado-Lopez et al.   EUPHYTICA

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

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

(2015) Jochem Verrelst et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Genetic control of plant height in European winter wheat cultivars

(2015) Tobias Würschum et al.   THEORETICAL AND APPLIED GENETICS

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Accumulation of Biomass and Compositional Change Over the Growth Season for Six Photoperiod Sorghum Lines

(2014) Leo Hoffmann et al.   BioEnergy Research

Sorghum biomass: a novel renewable carbon source for industrial bioproducts

(2014) Reddy Shetty Prakasham et al.   Biofuels-UK

Development and evaluation of a field-based high-throughput phenotyping platform

(2013) Pedro Andrade-Sanchez et al.   FUNCTIONAL PLANT BIOLOGY

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Sorghum as a versatile feedstock for bioenergy production

(2011) Zhanguo Xin et al.   Biofuels-UK

Detection and use of QTL for complex traits in multiple environments

(2010) Fred A van Eeuwijk et al.   CURRENT OPINION IN PLANT BIOLOGY

Efficient algorithms for robust generalized cross-validation spline smoothing

(2010) Mark A. Lukas et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS