Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018
| मुख्य लेखक: | |
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| अन्य लेखक: | |
| स्वरूप: | थीसिस |
| भाषा: | eng |
| प्रकाशित: |
Massachusetts Institute of Technology
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://hdl.handle.net/1721.1/122885 |
| _version_ | 1826209487552249856 |
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| author | Jeunnette, Mark N.(Mark Nathaniel),1979- |
| author2 | Douglas P. Hart. |
| author_facet | Douglas P. Hart. Jeunnette, Mark N.(Mark Nathaniel),1979- |
| author_sort | Jeunnette, Mark N.(Mark Nathaniel),1979- |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018 |
| first_indexed | 2024-09-23T14:23:16Z |
| format | Thesis |
| id | mit-1721.1/122885 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:23:16Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1228852019-11-16T03:02:41Z Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing Jeunnette, Mark N.(Mark Nathaniel),1979- Douglas P. Hart. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018 Cataloged from PDF version of thesis. Includes bibliographical references (pages 123-127). Remote sensing, in particular multispectral imagery, can measure crop health and detect in-season disturbances such as pests and diseases before they are visible to the naked eye, but it is inaccessible to small-plot farmers, especially in developing countries. So-called eExtension services provide up-to-date, reliable information for small-plot farmers, but struggle to collect the plot-specific crop health information on which to base personalized recommendations. This thesis addresses this issue using novel ideas in remote sensing system understanding, image processing, and geospatial workflow to develop the Airborne Monitoring System for In-Season Agriculture (AMSISA) and make remotely sensed crop health data accessible and useful for small-plot farmers. A simulation of platform performance characteristics shows that manned aircraft are the better aerial remote sensing platform, given current performance and regulatory realities. The time-series aerial remote sensing (TSARS) approach allows a reduction in spatial resolution to dramatically reduce survey costs and enable frequent updates for better monitoring performance. This allowance for plot-resolution (but not finer) data and minimal cost per hectare over a large area leads to the development of a model to optimize the data collected per plot based on survey altitude, heading, and camera properties. Imagery collected using a custom camera setup aboard a manned aircraft in Maharashtra, India is used to test and verify the models. Surveying at a spatial resolution near the size of farm plots on the ground requires precise registration of remotely sensed images to ensure accurate crop reflectance measurements. Current and novel multi-modal image registration techniques are tested and found to be inadequate for this application. Instead, a technique using known fiducials is presented to achieve the required registration precision. by Mark N. Jeunnette. Ph. D. Ph.D. Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-11-12T17:41:36Z 2019-11-12T17:41:36Z 2018 2018 Thesis https://hdl.handle.net/1721.1/122885 1126666304 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 127 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Jeunnette, Mark N.(Mark Nathaniel),1979- Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title | Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title_full | Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title_fullStr | Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title_full_unstemmed | Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title_short | Airborne monitoring system for in-season agriculture : operational considerations and image processing for wide-area sensing |
| title_sort | airborne monitoring system for in season agriculture operational considerations and image processing for wide area sensing |
| topic | Mechanical Engineering. |
| url | https://hdl.handle.net/1721.1/122885 |
| work_keys_str_mv | AT jeunnettemarknmarknathaniel1979 airbornemonitoringsystemforinseasonagricultureoperationalconsiderationsandimageprocessingforwideareasensing |