Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques
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Title
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques
Authors
Keywords
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Journal
Remote Sensing
Volume 10, Issue 3, Pages 343
Publisher
MDPI AG
Online
2018-02-24
DOI
10.3390/rs10020343
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- (2017) Faheem Iqbal et al. Remote Sensing
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- (2017) Andries B. Potgieter et al. Frontiers in Plant Science
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- (2016) María Pérez-Ortiz et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2016) Pratap Tokekar et al. IEEE Transactions on Robotics
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- (2016) David Gómez-Candón et al. PRECISION AGRICULTURE
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- (2015) J. Torres-Sánchez et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution
- (2015) José Peña et al. SENSORS
- Within-row spacing sensing of maize plants using 3D computer vision
- (2014) Akash D. Nakarmi et al. BIOSYSTEMS ENGINEERING
- Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV
- (2014) J. Torres-Sánchez et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System
- (2014) Jakob Geipel et al. Remote Sensing
- UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
- (2014) Esther Salamí et al. Remote Sensing
- Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
- (2013) Wei Guo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2013) Yeyin Shi et al. PRECISION AGRICULTURE
- Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud
- (2013) Adam Mathews et al. Remote Sensing
- Automatic inter-plant spacing sensing at early growth stages using a 3D vision sensor
- (2012) A.D. Nakarmi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Generalised bottom-up pruning: A model level combination of decision trees
- (2012) Mark Eastwood et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic detection of crop rows in maize fields with high weeds pressure
- (2012) M. Montalvo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content
- (2011) Jan G. P. W. Clevers et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A comprehensive study of plant density consequences on nitrogen uptake dynamics of maize plants from vegetative to reproductive stages
- (2010) Ignacio A. Ciampitti et al. FIELD CROPS RESEARCH
- Weed detection for site-specific weed management: mapping and real-time approaches
- (2010) F LÓPEZ-GRANADOS WEED RESEARCH
- 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
- Verification of color vegetation indices for automated crop imaging applications
- (2008) George E. Meyer et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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