1 wisconsin crop management conf. 1 integrating uav’s into your crop management system january 14,...
TRANSCRIPT
![Page 1: 1 Wisconsin Crop Management Conf. 1 Integrating UAV’s into your crop management system January 14, 2015 Brian D. Luck, Ph.D. Assistant Professor and Extension](https://reader035.vdocuments.us/reader035/viewer/2022070403/56649f2f5503460f94c49a91/html5/thumbnails/1.jpg)
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Wisconsin Crop Management Conf.
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Integrating UAV’s into your crop management
system
January 14, 2015Brian D. Luck, Ph.D.
Assistant Professor and Extension SpecialistBiological Systems Engineering Department
University of Wisconsin-Madison
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FAA Regulations
• The Federal Aviation Administration does not allow commercial use of UAV’s within the National Airspace System (Section 636 of Public Law 112-95).
• To be able to fly UAV’s commercially you must have a Section 333 exemption issued by the FAA.
• So currently we can not legally implement UAV’s!
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Thanks for your time!
• Questions?
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There is a loophole!
• Hobbyist Parameters– Altitude: Maximum of 400 ft.– Must maintain line of sight with aircraft– Must be outside of a 5 mile radius of any airport– No autonomous flight– No fee for hire operation of aircraft
• Very heavy fine for violation of these rules but usually stems from a complaint
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What can be gained?
• Information at times during the growing season that we have not previously had access except on foot
• Information about plant stress over time within the growing season
• Opportunities to adjust inputs for profit optimization over the entire growing season!
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What is remote sensing?
• Measurement or analysis of a phenomena without being in direct contact with it
• Relies on measurement of electromagnetic energy reflected or emitted from objects
• Used to identify:– Nutrient deficiencies, disease, water deficiency or
surplus, weed infestations, insect damage, hail and wind damage, herbicide damage, plant populations, yield prediction, etc.
– i.e. Plant Stress
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• Plants reflect light differently at differing wavelengths.
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How is it done currently?
• Normalized Difference Vegetation Index (NDVI)
– LNIR = Near Infrared (0.725 – 1.10 µm)
– LV = Visible (0.58 – 0.68 µm)
• Values range from -1.0 – 1.0– Rock, sand, snow = < 0.1– Dense vegetation = 0.6 – 0.9
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Types of sensors
• Passive Sensors– Sun provides energy source– Sensor measures energy reflected
• Active Sensors– Provide their own light source– Must be in somewhat close proximity to subject– Less affected by ambient conditions
• Most sensors account for incident solar radiation present
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Unmanned aerial vehicle
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Types of UAV’s
• Fixed wing vs. rotor• Battery powered vs. combustion powered• Sensor considerations• Data analysis considerations
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Fixed Wing UAV’s
• Flight speed: 27 - 56 mph• Field Eff.: 450 – 2,470
ac./charge– @ 3,195 ft alt.
• Autopilot: On Most• Mechanical Launch:
Sometimes required
• Covers large area from high altitude to give a “macro” view of the field
Photo: agriviewsystems.com
Photo: sensefly.com
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Rotor Type UAV’s
• Flight speed: 0 - ~30 mph• Field Eff.: 0 - 25
ac./charge• Autopilot: On Most• Mechanical Launch: No
• Hover capabilities allow for close measurement of the crop for more precise diagnosis.
Photo: precisiondrone.com
Photo: gizmag.com
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Autonomous UAV Operation
• Pre-determined flight path• Repeated photo locations to
maintain data consistency• Provide a lot of information
with minimal effort and cost• Could be producer owned or
a service provided by a third party
• Data transferred wirelessly to a server for processing/utilization (Telematics)
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Current UAV Limitations
• FAA regulations• Cost– Drone– Camera– Data transfer/processing– Other
• Battery life/fuel capacity• Ruggedness
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FAA Regulations Rumor and Speculation
• UAV pilot licensure• Flight plans submitted for high altitude• Multiple operators– Pilot to operate the aircraft– Spotter to operate the camera
• Maintain line of sight with aircraft constantly• UAV flights only during daylight hours• Roll-out goal of September, 2015– Could be as late as 2017
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Data and Data Analysis
• Types of data– Point Data (i.e. Lat, Long, Value)– Image Data
• Calibration– Sensors require calibration– Cameras require reference measurements for calibration
as well• Data transfer– Manual?– Automated?– Wireless?
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Data and Data Analysis
• Software– Most UAV’s come fitted with software to analyze the
data that they collect– Question where the data is stored
• On UAV• PC• Cloud
• Can the results of this analysis be imported into my current GIS package?
• Are there any conversions that need to take place before the data will match up and make sense?
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Final Thoughts
• UAV data collection will provide us more information about our crops than we have ever had before
• Implementation– Two different types of UAV’s for efficiency– Data transfer and analysis – streamline– Follow-up spot check to confirm analysis– Identify minimum effective delay between flights
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Brian D. Luck, Ph.D.Assistant Professor and Extension SpecialistBiological Systems EngineeringUniversity of [email protected]: 608.890.1861Twitter: @BLuck_BSE_UW