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Machine Vision-based Guidance System for Agricultural Grain Harvesters using Cut-edge Detection |
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| Authors: | E. R. Benson J. F. Reid Q. Zhang |
| Affiliation: | 1 Bioresources Engineering Department, University of Delaware, 242 Townsend Hall, Newark, DE 19716-2140, USA; e-mail of corresponding author: ebenson@udel.edu;2 Deere and Company, Moline, IL, USA; e-mail: reidjohnf@johndeere.com;3 Agricultural Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; e-mail: qzhang@age.uiuc.edu |
| Abstract: | A machine vision guidance algorithm was developed to guide an agricultural combine harvester based on the lateral position of the crop cut edge. The algorithm used images collected from a single camera mounted on the head directly above the cut/uncut edge. The algorithm was developed for maize harvesting and was tested under both laboratory and field conditions. Test results indicated that the algorithm was capable of accurately locating the cut/uncut edge and providing a lateral positioning signal for automated combine harvester guidance. |
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