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Big Data Processing Tool for Aerial Imagery by Unmanned Aircraft Systems (UAS) and Delivery to End Users in Precision Agriculture
Ganesh C. BoraMississippi State University, Mississippi State, MS
NASA Academy of Aerospace Quality WorkshopUniversity of Alabama, Huntsville, AL
October 13, 2017
Dr. Ganesh C. Bora
Associate Professor
Agricultural and Biological Engineering
E-mail: [email protected]
Phone: 662-325-3155
SummaryReal time remote sensing data acquired by unmanned aircraft systems (UAS) is important and cost-effective sources of high-resolution
imagery. Big Data processing and transfer requires effective tool. There are challenges in telematics, software availability, storage, security of storing in clouds, legal issues are enormous before reaching the end users. This study undertakes the development ofutility of data processing tool for field sensors and those at UAS platform and delivery to end users. This is important in precision
agriculture in order to make management decision for variable rate technology.
Big-Data Management Challenges & Strategy
• Volume, Data transfer, Telematics, Software
• Storage, Security of storing in clouds, End uses
• legal issues
• Need for skilled workforce
UAS Data Transfers
EO/IR/NIR
Payload
Ground Control Station
Large Area
Scanning
Hyper Spectral
scanning
• Share field data, Software recommendations
• Data shared as needed
• Telematics: Wireless and Cellular
• Commercial software options
Recorded by UAS mica-sense NDVI sensor
Why Precision Technology in Agriculture?
• Maximize Profits
• Less Overlap
• Reduce Inputs
• Increase Yields
• Reduce Stress
• Protect Environment
• Feed 7.5 Billion People
1804 1 billion
1850 1.2 billion
1900 1.6 billion
1927 2 billion
1950 2.55 billion
1955 2.8 billion
1960 3 billion
1965 3.3 billion
1970 3.7 billion
1975 4 billion
1980 4.5 billion
1985 4.85 billion
1987 5 billion
1990 5.3 billion
1995 5.7 billion
1999 6 billion
2000 6.1 billion
2005 6.45 billion
2010 6.8 billion
2011 7 billion
http://www.worldometers.info/world-population/
Current World Population: 7,529,388,829
• The NDVI (green-ness) by the field sensor and UAS sensors are indicator for crop-nutrition
• Both showed similar trend
• But the values have significant offset
• UAS sensors can successfully used for post processing information
• It is an on-going project
Study Findings