Multispectral imaging and unmanned aerial systems for cotton plant phenotyping

GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton

(2018) Yu Jiang et al.   Scientific Reports

High throughput phenotyping of tomato spot wilt disease in peanuts using unmanned aerial systems and multispectral imaging

(2017) Aaron Patrick et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery

(2016) Tianxing Chu et al.   Journal of Applied 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

Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research

(2016) Yeyin Shi et al.   PLoS One

UAVs challenge to assess water stress for sustainable agriculture

(2015) J. Gago et al.   AGRICULTURAL WATER MANAGEMENT

The unique and multifaceted importance of the timing of flowering

(2015) Steven J. Franks   AMERICAN JOURNAL OF BOTANY

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

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

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

High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials

(2015) Ramón Díaz-Varela et al.   Remote Sensing

High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology

(2015) Jorge Torres-Sánchez et al.   PLoS One

Evaluation of Vegetation Indices for Early Assessment of Corn Status and Yield Potential in the Southeastern United States

(2014) Miguel S. Torino et al.   AGRONOMY JOURNAL

Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

(2014) P.J. Zarco-Tejada et al.   EUROPEAN JOURNAL OF AGRONOMY

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

(2013) Francisco Garcia-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding

(2013) Lucas Busemeyer et al.   SENSORS

Field high-throughput phenotyping: the new crop breeding frontier

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

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results

(2012) Alexis Comar et al.   FUNCTIONAL PLANT BIOLOGY

Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

(2012) Javier Baluja et al.   IRRIGATION SCIENCE

High-throughput Phenotyping and Genomic Selection: The Frontiers of Crop Breeding ConvergeF

(2012) Llorenç Cabrera-Bosquet et al.   Journal of Integrative Plant Biology

Global food demand and the sustainable intensification of agriculture

(2011) D. Tilman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera

(2011) P.J. Zarco-Tejada et al.   REMOTE SENSING OF ENVIRONMENT

Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

(2009) J. Berni et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING