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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. Bora Mississippi State University, Mississippi State, MS NASA Academy of Aerospace Quality Workshop University 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 Summary Real 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 of utility 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
