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LIDAR and Photogrammetry to Map Alfalfa Yield and Quality Using Unmanned Aircraft Systems
Dvorak, Joseph
(PI)
Jackson, Joshua
(CoI)
Montross, Michael
(CoI)
Sama, Michael
(CoI)
Biosystems and Agricultural Engineering
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Engineering
Unmanned Aircraft System
100%
Photogrammetry
100%
Observables
66%
Quality Map
66%
Field Measurement
33%
Processing Technique
33%
Primary Factor
33%
Quality Information
33%
Physical State
33%
Sensor Type
33%
Detection Technique
33%
Sensor System
33%
Flight Condition
33%
Earth and Planetary Sciences
Unmanned Aircraft System
100%
Photogrammetry
100%
Alfalfa
100%
Wheel Traffic
75%
Data Transmission
50%
Flight Condition
25%
Environmental Factor
25%
Agricultural and Biological Sciences
Photogrammetry
100%
Medicago sativa
100%
Wheel Traffic
75%
Flight
50%
Data Processing
50%
Environmental Factor
25%