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2020 | OriginalPaper | Chapter

Performance Comparison of Two Guidance Systems for Agricultural Equipment Navigation

Authors : Nadia Delavarpour, Sulaymon Eshkabilov, Thomas Bon, John Nowatzki, Sreekala Bajwa

Published in: Advances in Design, Simulation and Manufacturing II

Publisher: Springer International Publishing

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Abstract

Cover crops have been gaining popularity in the Northern Great Plains as an effective practice to improve soil health. An accurate guidance system when planting cover crops between rows of standing corn at V6-V8 stage requires precise navigation to avoid damaging standing crop, but field observations showed that the grain cart often trampled over rows of plant. Development of accurate and efficient methods, to find the correct path to guide the farm equipment automatically during these operations is an important need. In this project, the capabilities of Ultrasonic and Tactile navigation sensor (Reichhardtd® Electronic Innovation Products) were studied and compared. The objective of this study was to consider the difference between performances of two navigation systems that would guide the grain cart tires to move between rows for different operating conditions, speeds, patterns of rows, and terrain conditions. The comparison tests were conducted with five different fixed speeds, variable speeds, and four different row patterns in laboratory conditions on a purposefully designed test bench. The study results show that both sensors can successfully locate/identify row patterns if they are appropriately adjusted. But the steering system of the test bench has failed to respond with respect to the identified rows by the sensors due to a missing feedback controller. Moreover, appropriate digital filters were designed to remove undesired noises of signals read by the sensors and a fit model was found to compute exact physical location of the system with respect to rows.

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Literature
1.
go back to reference Snider, J.M.: Automatic Steering Methods for Autonomous Automobile Path Tracking. Technical Report CMU-RI-TR-09-08, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA (2009) Snider, J.M.: Automatic Steering Methods for Autonomous Automobile Path Tracking. Technical Report CMU-RI-TR-09-08, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA (2009)
2.
go back to reference Åstrand, B., Baerveldt, A.J.: A vision based row-following system for agricultural machinery. Mechatronics 15(2), 251–269 (2005)CrossRef Åstrand, B., Baerveldt, A.J.: A vision based row-following system for agricultural machinery. Mechatronics 15(2), 251–269 (2005)CrossRef
3.
go back to reference Backman, J., Oksanen, T., Visala, A.: Navigation system for agricultural machines: nonlinear model predictive path tracking. Comput. Electron. Agric. 82, 32–43 (2012)CrossRef Backman, J., Oksanen, T., Visala, A.: Navigation system for agricultural machines: nonlinear model predictive path tracking. Comput. Electron. Agric. 82, 32–43 (2012)CrossRef
4.
go back to reference Ehsani, M.R., Upadhyaya, S.K., Mattson, M.L.: Seed location mapping using RTK GPS. Trans. ASAE 47(3), 909–914 (2004)CrossRef Ehsani, M.R., Upadhyaya, S.K., Mattson, M.L.: Seed location mapping using RTK GPS. Trans. ASAE 47(3), 909–914 (2004)CrossRef
6.
go back to reference Lee, K., Ehsani, R.: Comparison of two 2D laser scanners for sensing object distances, shapes, and surface patterns. Comput. Electron. Agric. 60, 250–262 (2008)CrossRef Lee, K., Ehsani, R.: Comparison of two 2D laser scanners for sensing object distances, shapes, and surface patterns. Comput. Electron. Agric. 60, 250–262 (2008)CrossRef
7.
go back to reference Reid, J.F., Searcy, S.W.: Vision-based guidance of an agricultural tractor. IEEE Control Syst. 7(12), 39–43 (1987)CrossRef Reid, J.F., Searcy, S.W.: Vision-based guidance of an agricultural tractor. IEEE Control Syst. 7(12), 39–43 (1987)CrossRef
8.
go back to reference Sudduth, K.A., Dummond, S.T., Wang, W.W., Krumpelman, M.J.: Ultrasonic and GPS measurement of combine swath width. ASAE Paper No. 983096. St. Joseph, MI (1998) Sudduth, K.A., Dummond, S.T., Wang, W.W., Krumpelman, M.J.: Ultrasonic and GPS measurement of combine swath width. ASAE Paper No. 983096. St. Joseph, MI (1998)
9.
go back to reference Tofael, A., Tomohiro, T., Masayuki, K., Tsuyoshi, H., Hideo, H., Zhang, Q.: Navigation using a laser range finder for autonomous tractor (Part 1)-positioning of implement. J. Jpn. Soc. Agric. Mach. 68(1), 68–77 (2006) Tofael, A., Tomohiro, T., Masayuki, K., Tsuyoshi, H., Hideo, H., Zhang, Q.: Navigation using a laser range finder for autonomous tractor (Part 1)-positioning of implement. J. Jpn. Soc. Agric. Mach. 68(1), 68–77 (2006)
10.
go back to reference Weiss, U., Biber, P.: Plant detection and mapping for agricultural robots using a 3D LIDAR sensor. Robot. Auton. Syst. 59(5), 265–273 (2011)CrossRef Weiss, U., Biber, P.: Plant detection and mapping for agricultural robots using a 3D LIDAR sensor. Robot. Auton. Syst. 59(5), 265–273 (2011)CrossRef
Metadata
Title
Performance Comparison of Two Guidance Systems for Agricultural Equipment Navigation
Authors
Nadia Delavarpour
Sulaymon Eshkabilov
Thomas Bon
John Nowatzki
Sreekala Bajwa
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-22365-6_54

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