Page 532 - Biosystems Engineering

504 Cha pte r Se v e ntee n

28. Wallays, C., Saeys, W., Missotten, B., and De Baerdemaeker J. 2009. Hyperspectral
waveband selection for on-line measurement of grain cleanness. Biosystems
Engineering. In Press
29. Saeys, W., Lenaerts, B., Craessaerts, G., and De Baerdemaeker, J. 2009. Estimation
of the crop density of small grains using LIDAR sensors. Biosystems Engineering,
102:22–30.
30. Craessaerts, G., Saeys, W., Missotten, B., and De Baerdemaeker, J. 2008.
Identification of the cleaning process on combine harvesters. Part I: A fuzzy
model for prediction of the material other than grain (MOG) content in the
grain bin. Biosystems Engineering 101(1):42–49.
31. Coen, T., Vanrenterghem, A., Saeys, W., and De Baerdemaeker, J. 2008. Autopilot
for a combine harvester. Computers and Electronics in Agriculture 63(1): 57–64.
32. Coen, T., Saeys, W., Missotten, B., and De Baerdemaeker, J. 2008. Cruise con-
trol on a combine harvester using model-based predictive control. Biosystems
Engineering 99:47–55.
33. Craessaerts, G., Saeys, W., Missotten, B., and De Baerdemaeker, J. 2007. A
genetic input selection methodology for identification of the cleaning process
on a combine harvester, Part II: Selection of relevant input variables for identi-
fication of material other than grain (MOG) content in the grain bin. Biosystems
Engineering 98:297–303.
34. Craessaerts, G., Saeys, W., Missotten, B., and De Baerdemaeker J. 2007. A genetic
input selection methodology for identification of the cleaning process on a com-
bine harvester, Part I: Selection of relevant input variables for identification of
the sieve losses. Biosystems Engineering 98:166–175.