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![](https://webarchive.library.unt.edu/eot2008/20081107234028im_/http://www.ars.usda.gov/incme/images/Research_head.gif) |
Research Project:
SOIL APPLICATION OF AGRICULTURAL WASTE TO IMPROVE CROP PRODUCTION SYSTEMS AND ENVIRONMENTAL QUALITY
Location: National Soil Dynamics Laboratory
Title: SOME QUESTIONS OF EVALUATION OF YIELD MAPS
Authors
![item](https://webarchive.library.unt.edu/eot2008/20081107234028im_/http://www.ars.usda.gov/incme/images/bullet.gif) | Kurtener, Dmitry - AGROPHYSICAL RES. INST. | ![item](https://webarchive.library.unt.edu/eot2008/20081107234028im_/http://www.ars.usda.gov/incme/images/bullet.gif) |
Torbert, Henry
| ![item](https://webarchive.library.unt.edu/eot2008/20081107234028im_/http://www.ars.usda.gov/incme/images/bullet.gif) | Krueger, Elena - AGROPHYSICAL RES. INST. |
Submitted to: Meeting Proceedings
Publication Type:
Proceedings/Symposium
Publication Acceptance Date: September 16, 2008
Publication Date: September 16, 2008
Citation: Kurtener, D., Torbert III, H.A., Krueger, E. 2008. Some questions of evaluation of yield maps. In: Proceedings of the Conference on Automation of Agricultural Processes - Automation 2008, Sept. 16-18, 2008, Uglich, Russia. CDROM.
Interpretive Summary: The ultimate goal for the application of yield maps is to provide profitable crop output in farming systems. Recently, several methods and tools have been developed for the evaluation of yield maps. It is based on crisp and fuzzy modeling. However, the process of evaluation of yield maps is full of uncertainty and randomness. One suitable method for dealing with this uncertainties of data is the application of fuzzy sets theory. In this paper the potential to use of fuzzy sets theory as a tool for evaluating yield maps is presented. The paper explains modeling of fuzzy indicators for evaluation of yield maps and presents an example to illustrating the approach.
Technical Abstract: The ultimate goal for the application of yield maps is to provide profitable crop output in farming systems. Recently, several methods and tools have been developed for the evaluation of yield maps. It is based on crisp and fuzzy modeling. However, the process of evaluation of yield maps is full of uncertainty and randomness. One suitable method for dealing with this uncertainties of data is the application of fuzzy sets theory. In this paper the potential to use of fuzzy sets theory as a tool for evaluating yield maps is presented. The paper explains modeling of fuzzy indicators for evaluation of yield maps and presents an example to illustrating the approach.
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Last Modified: 11/05/2008
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