Title
Stem bending force and hydraulic system pressure sensing for predicting napiergrass yield during harvesting
Abstract
'look-ahead' stem-bending yield sensor was developed for napiergrass.Stem-bending sensor performed better than pressures of harvester hydraulic drives.Stem-bending yield sensor predicted yield with 85-90% accuracy.Stem-bending sensor showed potential to control harvester ground speed. Napiergrass, which resembles sugarcane in stature and cultivation practices, is emerging as a candidate bioenergy crop. However, limited studies investigating harvesting and yield sensing of napiergrass are available. This study investigated stem-bending force, and the hydraulic pressures of basecutter, chopper and elevator drives in a John Deere 3522 sugarcane billet harvester as indicators of napiergrass yield. The coefficients of determination (R2) between napiergrass yield and hydraulic pressures were 0.73, 0.88 and 0.81, respectively for the basecutter, chopper and elevator drives. The highest correlation (R2=0.92) was found between stem-bending force and napiergrass yield. The yield prediction errors were 4.9% and 8.6% for the calibration and validation plots with the stem-bending force yield sensor. Cross-validation, in which each harvested row was treated as a data point, showed that the average yield prediction errors were 10.9% and 11.8% for the calibration and validation data sets. Yield maps were also generated employing the stem-bending yield sensor. In addition, it was expected that the stem-bending yield sensor could be utilized to control harvester operation such as travel speed. Further studies would be needed to extend the stem-bending concept to other thick stemmed crops.
Year
DOI
Venue
2015
10.1016/j.compag.2015.01.007
Computers and Electronics in Agriculture
Keywords
Field
DocType
Napiergrass,Yield sensing,Yield maps,Harvesting,Bioenergy,Biomass
Agronomy,Crop yield,Hydraulic machinery,Bioenergy,Bending,Control engineering,Agricultural machinery,Ground speed,Engineering,Chopper,Calibration,Agricultural engineering
Journal
Volume
Issue
ISSN
111
C
0168-1699
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
S.K. Mathanker100.34
J.C. Buss200.34
H. Gan300.34
J.F. Larsen400.34
A.C. Hansen500.68