A genetic input selection methodology for identification of the cleaning process on a combine harvester, Part I: Selection of relevant input variables for identification of the sieve losses-Reference-Cited by-同舟云学术

A genetic input selection methodology for identification of the cleaning process on a combine harvester, Part I: Selection of relevant input variables for identification of the sieve losses

Published:2007-10 Issue:2 Volume:98 Page:166-175
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Craessaerts Geert,Saeys Wouter,Missotten Bart,De Baerdemaeker Josse

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference15 articles.

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2. Design of a friction independent mass flow sensor by force measurement on a circular chute;Anthonis;Biosystems Engineering,2003

3. Chipperfield A; Fleming P (1995) The MATLAB Genetic Algorithm Toolbox. IEE Colloquium Applied Control Techniques Using MATLAB.

4. A design environment for combine automation via CANbus;Craessaerts;Computers and Electronics in Agriculture,2005

5. Feiffer P (2003). When will we see the intelligent combine? (Combine loss calibration and performance database for european wheats). Proceedings of the International Conference on Crop Harvesting and Processing. ASAE Publication No. 701P1103e

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