Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data
Authors
Keywords
-
Journal
Agriculture-Basel
Volume 10, Issue 5, Pages 146
Publisher
MDPI AG
Online
2020-05-04
DOI
10.3390/agriculture10050146
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging
- (2019) Esther Grüner et al. Agronomy-Basel
- Remote sensing-based crop lodging assessment: Current status and perspectives
- (2019) Sugandh Chauhan et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Effect of Leaf Occlusion on Leaf Area Index Inversion of Maize Using UAV–LiDAR Data
- (2019) Lei Lei et al. Remote Sensing
- Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery
- (2019) Yaxiao Niu et al. Remote Sensing
- High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat
- (2019) Daljit Singh et al. Frontiers in Plant Science
- Comparison of forest canopy height profiles in a mountainous region of Taiwan derived from airborne lidar and unmanned aerial vehicle imagery
- (2019) Chih-Hsin Chung et al. GIScience & Remote Sensing
- Editorial: Synthetic Aperture Radar and Natural Hazards: Applications and Outlooks
- (2019) Federico Di Traglia et al. Frontiers in Earth Science
- Monitoring of maize lodging using multi-temporal Sentinel-1 SAR data
- (2019) Meiyan Shu et al. ADVANCES IN SPACE RESEARCH
- In situ evaluation of stalk lodging resistance for different maize (Zea mays L.) cultivars using a mobile wind machine
- (2019) Weiliang Wen et al. Plant Methods
- IDENTIFICATION OF MAIZE LODGING: A CASE STUDY USING A REMOTELY PILOTED AIRCRAFT SYSTEM
- (2019) Matheus G. Acorsi et al. Engenharia Agricola
- Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding
- (2019) James D. C. Walter et al. Frontiers in Plant Science
- Estimation of maize above-ground biomass based on stem-leaf separation strategy integrated with LiDAR and optical remote sensing data
- (2019) Yaohui Zhu et al. PeerJ
- Detection of wheat height using optimized multi-scan mode of LiDAR during the entire growth stages
- (2019) Tai Guo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Evaluating the performance of SALTMED model under alternate irrigation using saline and fresh water strategies to winter wheat in the North China Plain
- (2019) Rajesh Kumar Soothar et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data
- (2019) Sugandh Chauhan et al. REMOTE SENSING OF ENVIRONMENT
- Estimates of rice lodging using indices derived from UAV visible and thermal infrared images
- (2018) Tao Liu et al. AGRICULTURAL AND FOREST METEOROLOGY
- 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
- Unsupervised discrimination between lodged and non-lodged winter wheat: a case study using a low-cost unmanned aerial vehicle
- (2018) Jian-Jun Wang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies
- (2018) Xu Wang et al. Plant Methods
- 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
- Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation
- (2018) Liang Han et al. Remote Sensing
- Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
- (2017) Nicolas Virlet et al. FUNCTIONAL PLANT BIOLOGY
- Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery
- (2017) Ming-Der Yang et al. Remote Sensing
- Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images
- (2017) Tianxing Chu et al. Remote Sensing
- In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR
- (2017) Shangpeng Sun et al. Remote Sensing
- Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements
- (2017) Xiaoyu Song et al. Remote Sensing
- High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
- (2017) Simon Madec et al. Frontiers in Plant Science
- Effects of light intensity within the canopy on maize lodging
- (2016) Jun Xue et al. FIELD CROPS RESEARCH
- Filtering LiDAR data based on adjacent triangle of triangulated irregular network
- (2016) Yining Quan et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Testing the Suitability of a Terrestrial 2D LiDAR Scanner for Canopy Characterization of Greenhouse Tomato Crops
- (2016) Jordi Llop et al. SENSORS
- Simulating an Autonomously Operating Low-Cost Static Terrestrial LiDAR for Multitemporal Maize Crop Height Measurements
- (2016) Sophie Crommelinck et al. Remote Sensing
- LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics?
- (2015) Yi Lin COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Wheat lodging monitoring using polarimetric index from RADARSAT-2 data
- (2015) Hao Yang 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
- Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
- (2015) Helge Aasen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest
- (2015) Tetsuji Ota et al. Forests
- Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
- (2015) Nora Tilly et al. Remote Sensing
- Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
- (2014) Nora Tilly et al. Journal of Applied Remote Sensing
- Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping
- (2014) David Deery et al. Agronomy-Basel
- Field high-throughput phenotyping: the new crop breeding frontier
- (2013) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery
- (2013) Jonathan Lisein et al. Forests
- Evaluating Maize Grain Quality by Continuous Wavelet Analysis Under Normal and Lodging Circumstances
- (2012) Jingcheng Zhang et al. Sensor Letters
- A review of advanced techniques for detecting plant diseases
- (2010) Sindhuja Sankaran et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Assessment of environment lodging stress for maize using fuzzy synthetic evaluation
- (2010) Chunqiao Mi et al. MATHEMATICAL AND COMPUTER MODELLING
- Model projected changes of extreme wind events in response to global warming
- (2009) G. Gastineau et al. GEOPHYSICAL RESEARCH LETTERS
- Earth system science related imaging spectroscopy—An assessment
- (2009) Michael E. Schaepman et al. REMOTE SENSING OF ENVIRONMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started