Fuzzy Quality Evaluation for Agricultural Applications 2000-01-2621
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.
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. Download Citation
Author(s):
Eric R. Benson, Qin Zhang, John F. Reid, Monte Dickson
Affiliated:
University of Illinois at Urbana-Champaign, CNH Global N.V.
Pages: 10
Event:
International Off-Highway & Powerplant Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 2000 Transactions Journal of Commercial Vehicles-V109-2
Related Topics:
Fuzzy logic
Vehicle performance
Sensors and actuators
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