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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yoo, H. Hoon Cheong Heart, W. Watkins, L. Donohue, G. |
| Copyright Year | 2015 |
| Description | Author affiliation: George Mason Univ., Fairfax, VA, USA (Yoo, H.; Hoon Cheong; Heart, W.; Watkins, L.; Donohue, G.) |
| Abstract | The Chesapeake Bay currently suffers pollution due to excess nitrogen and phosphorus coming from agricultural runoff. To reduce agricultural runoff, systems must be introduced to monitor nutrient levels on farmland and incentivize farmers to adopt best management practices (BMPs). This project uses the upper Chesapeake Bay in Maryland as a case study. Results indicate that an unmanned aerial vehicle (UAV) with a multispectral imagery subsystem would offer the greatest balance of cost and utility for monitoring farmland. However, because commercial-use of UAVs are not currently illegal, a manned aircraft is recommended to test the proof of concept. The Federal Aviation Administration (FAA) is moving toward allowing commercial UAV-use for agricultural applications. If the proof of concept is successful, it is recommended to move to a UAV platform for sustained operations once UAV laws are established. To encourage increased utilization of BMPs, a classification system is proposed in which farmers have access to incentive options based on the nutrient concentration on their farm. By measuring progress with a monitoring system and tying that in with an incentive system, environmental organizations can track progress in cleaning up our waters while rewarding actors contributing to that cause. |
| Starting Page | 131 |
| Ending Page | 136 |
| File Size | 1306694 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479918324 |
| DOI | 10.1109/SIEDS.2015.7116961 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monitoring Nitrogen Water pollution Vehicles Hyperspectral imaging Spectral Imaging Agricultural Runoff Incentives Monitoring System |
| Content Type | Text |
| Resource Type | Article |
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