Imaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction

Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations

(2018) Fang Hui et al.   ANNALS OF BOTANY

Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography

(2018) Lukas Roth et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies

(2018) Xu Wang et al.   Plant Methods

Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images

(2018) Jinhai Cai et al.   PLoS One

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

Sensors for measuring plant phenotyping: A review

(2018) Ruicheng Qiu et al.   International Journal of Agricultural and Biological Engineering

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

(2018) Wenan Yuan et al.   SENSORS

Approaches to three-dimensional reconstruction of plant shoot topology and geometry

(2017) Jonathon A. Gibbs et al.   FUNCTIONAL PLANT BIOLOGY

3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System

(2017) Dawei Li et al.   Remote Sensing

Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction

(2017) Hanno Scharr et al.   Frontiers in Plant Science

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms

(2017) Fernando Perez-Sanz et al.   GigaScience

3-D Imaging Systems for Agricultural Applications—A Review

(2016) Manuel Vázquez-Arellano et al.   SENSORS

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

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

The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool

(2015) Mark Müller-Linow et al.   Plant Methods

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

3D Stereo Vision Measurements for Weed-Crop Discrimination

(2012) M. Tilneac et al.   Elektronika Ir Elektrotechnika

GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5° zenith angle: Theoretical considerations based on 3D architecture models and application to wheat crops

(2010) F. Baret et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving in-row weed detection in multispectral stereoscopic images

(2009) A. Piron et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating the leaf inclination angle distribution of the wheat canopy using a portable scanning lidar

(2009) Fumiki HOSOI et al.   JOURNAL OF AGRICULTURAL METEOROLOGY

Development of a stereovision sensing system for 3D crop row structure mapping and tractor guidance

(2008) Michio Kise et al.   BIOSYSTEMS ENGINEERING

Stereo Processing by Semiglobal Matching and Mutual Information

(2007) H. Hirschmuller   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE