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UAS in Precision Agriculture
John Nowatzki Extension Ag Machine Systems Specialist
North Dakota State University
• NDSU UAS Activities • NDSU UAS Applications in Agriculture • Digital Data Privacy in Agriculture • Current Applications • Future Applications and Needs
UAS in Precision Agriculture
Precision Agriculture & Data Management
• Computer Software
• Commercial Services
• Big Data
Project Partners • Department of Commerce – Research ND
• 2014 – Small UAS - CREC • 2015 – Small UAS - Statewide • 2016 – Large UAS; Weed & Disease ID, IDC
• Elbit Systems of America • AeroVironment • IntelinAir • LW Survey • Sentera • ND Agricultural Experiment Station • ND Soybean Council • ND Corn Council • NDSU Ozbun Fund
NDSU UAS Research Partners
UAS Sensors
Cameras • ICI 9640 S Thermal camera • Large area scanning EO/IR/NIR camera • Sony NEX-5R camera with NIR • Tetracam ADC • Sentera dual sensor (4 band) • Sentera Quad sensor (6 band) • MicaSense Rededge • Ximera Hyperspectral sensor • Rikola Hyperspectral sensor
Sentera
Sony NEX-5R
Elbit EO/IR
Thermal
Hyperspectral
Rikola
ICI 9640
Ximea
UAS Platforms
Trimble UX5
3DR RTF X8
RF70 - Troybuilt
Hermes 450
Altavian
Phantom 3
Imagery in May, June, July and August • Color, Infrared Sensor • 4,000, 6,000 and 8,000 ft Small UAS, Satellite, Ground and Yield Data All Imagery Securely Stored on NDSU Computers
Description
Objectives Uses for Crop Management Economic Value to Producers
Project Location
Hermes 450 UAS
First Large UAS Civilian Flight in North Dakota
Landing the Hermes 450
View from CAP Chase Plane
Data Management
Large UAS – Entire Corridor Each Date
Total Quantity of Imagery Collected during the Project: 10.5 TB Plus Small UAS Imagery
Plus Image Analyses
Date May 23-27
June 20-24 July 18-22
August 15-19
Altitude 4,000’ 6,000’ 8,000’
6,000’ 8,000’
6,000’ 8,000’
4,000’ 8,000’
Image Quantity Total Size
2.0 TB 1.5 TB 0.5 TB 4.0 TB
1.5 TB 0.5 TB 2.0 TB
1.5 TB 0.5 TB 2.0 TB
2.0 TB 0.5 TB 2.5 TB
John Nowatzki Alyssa Scheve Angie Johnson Sreekala Bajwa
David Roberts David Saxowsky Hans Kandel Joel Ransom
Key Personnel
NDSU Extension Role • Facilitate • Collaborate • Educate
May Imagery: 4,000’ – 6,000’ – 8,000’ 4,000’
6,000’
8,000’
Detailed Imagery - 50,000 Acres/Hour
Corn Imagery: May – June - July
May
June
July
Precision Management Throughout the Season
~ 40 Acres Imagery 4,000’ RGB Image 4 cm Pixel Size
~ 200’x200’ Imagery 4,000’ RGB Image 4 cm Pixel Size
Digital Elevation Model Using Large UAV
Hail Damage: Corn from 4,000’
17 Acres out of 67 acres
Image Quality – 8,000’
Crop Management Applications
1
2
3
• NDVI Values
Analyses from Imagery: Zone Map
Analyses from Imagery Sugarbeet
Corn
R2 = .94
R2 = .92
Web Application for Stand Count Analyses from UAS Imagery
Identifying Herbicide-resistant Weeds
Sugarbeet Disease Detection with UAS
28
AIR-AGFO, 2015
Rhizoctonia solani infestation Cercospora infestation
Analyses from Imagery: Cattle from 8,000’
What Has Gone Well • Collaboration: NDSU – NP UAS Test Site – Elbit - CAP • FAA and FCC • NDSU County Extension Service • Hillsboro Airport Authority • Image Quality • Objectives:
• Imagery from 4,000’ – 6,000’ – 8,000’ • Transfer and Storage of Imagery at NDSU • Analyses
• Nitrogen Management • Disease Identification • Hail Damage • Yield Correlation
Future of UAS in Agriculture
Small UAS Plant Stand Count Monitoring and Scouting Identification of Management Issues
Large UAS In-season Fertility Precision Application Maps Yield Predictions Insect and Disease Movements Elevation Data
One More Layer for Big Data Precision Agriculture
Questions - Comments
Office 701-231-8213 Cell 701-261-9842
http://www.ag.ndsu.edu/agmachinery
