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Fuzzy Quality Evaluation for Agricultural Applications
Technical Paper
2000-01-2621
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this paper, two automated fuzzy evaluation systems are described. In the first, a fuzzy quality module evaluates output from a simulated noisy sensor. In the second system, a fuzzy quality module evaluates the output from a machine vision system. Results from both systems indicate that fuzzy logic was able to accurately categorize the output in support of machinery decision making for automated control.
Authors
Citation
Benson, E., Zhang, Q., Reid, J., and Dickson, M., "Fuzzy Quality Evaluation for Agricultural Applications," SAE Technical Paper 2000-01-2621, 2000, https://doi.org/10.4271/2000-01-2621.Also In
References
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