A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting

Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images

(2019) Paul Nesbit et al.   Remote Sensing

Automated detection and measurement of individual sorghum panicles using density-based clustering of terrestrial lidar data

(2019) L. Malambo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of Biomass Predictions in a Tropical Woodland

(2019) Domingo et al.   Remote Sensing

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination

(2018) Joshua Chopin et al.   Plant Methods

Mapping Three-Dimensional Structures of Forest Canopy Using UAV Stereo Imagery: Evaluating Impacts of Forward Overlaps and Image Resolutions With LiDAR Data as Reference

(2018) Wenjian Ni et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Multi-Camera Imaging System for UAV Photogrammetry

(2018) Damian Wierzbicki   SENSORS

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

Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy

(2018) Wei Guo et al.   Frontiers in Plant Science

Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV

(2017) Tao Duan et al.   FUNCTIONAL PLANT BIOLOGY

Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework

(2017) Xingrui Yu et al.   GIScience & Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

TasselNet: counting maize tassels in the wild via local counts regression network

(2017) Hao Lu et al.   Plant Methods

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

(2017) Xiong Xiong et al.   Plant Methods

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

(2017) Friederike Gnädinger et al.   Remote Sensing

UAV-Based Thermal Imaging for High-Throughput Field Phenotyping of Black Poplar Response to Drought

(2017) Riccardo Ludovisi et al.   Frontiers in Plant Science

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

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Comparison of mosaicking techniques for airborne images from consumer-grade cameras

(2016) Huaibo Song et al.   Journal of Applied Remote Sensing

Field phenotyping of water stress at tree scale by UAV-sensed imagery: new insights for thermal acquisition and calibration

(2016) David Gómez-Candón et al.   PRECISION AGRICULTURE

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

PGP repository: a plant phenomics and genomics data publication infrastructure

(2016) Daniel Arend et al.   Database-The Journal of Biological Databases and Curation

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research

(2016) Yeyin Shi et al.   PLoS One

Physiological phenotyping of plants for crop improvement

(2015) Michel Edmond Ghanem et al.   TRENDS IN PLANT SCIENCE

Use of UAV oblique imaging for the detection of individual trees in residential environments

(2015) Yi Lin et al.   URBAN FORESTRY & URBAN GREENING

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

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

Agronomic performance and heterosis of specialty grain sorghum hybrids with a black pericarp

(2014) Chad M. Hayes et al.   EUPHYTICA

QTLs underlying inflorescence architecture in sorghum (Sorghum bicolor (L.) Moench) as detected by association analysis

(2014) Khaing Pann Witt Hmon et al.   GENETIC RESOURCES AND CROP EVOLUTION

A Review of Imaging Techniques for Plant Phenotyping

(2014) Lei Li et al.   SENSORS

Field high-throughput phenotyping: the new crop breeding frontier

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

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Maize cellulosic biofuels: soil carbon loss can be a hidden cost of residue removal

(2011) Amy E. Kochsiek et al.   Global Change Biology Bioenergy

Understanding bag-of-words model: a statistical framework

(2010) Yin Zhang et al.   International Journal of Machine Learning and Cybernetics

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING