Abstract
Purpose
In yield monitoring systems, user terminal software plays a role in collecting harvest data and creating yield maps. The software developed in this study was made specifically for Korean grain yield monitoring systems.
Methods
The main functions of the software were based on commercial yield monitoring software, but modified for Korean systems. In order to demonstrate accuracy and performance of the yield monitoring system, we conducted indoor and field tests. Through the indoor test, we demonstrated functions of the software such as automatic position filter and delay time filter with yield data collected in the USA and the Republic of Korea. To prove the accuracy of the software in yield estimation, six field tests were conducted, three at 1.5 m/s, and the other three at 1.7 m/s. Software results were compared to manual weight and moisture content measurements collected from the grain tank.
Results
In the indoor test, the automatic position filter removed unideal position data (1.92%) and average accuracy of the sensors after applying the calibration function was 91%. After applying the delay time function, yield maps became more coherent in spatial yield patterns. Through the field test, the error rate of yield and moisture content were 4.24 and 2.51%, respectively.
Conclusions
The user terminal software developed in this study has potential for use in Korean grain yield monitoring systems, but should be improved to better consider the Korean harvesting environment.
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References
Arslan, S., & Colvin, T. S. (2002). Grain yield mapping: Yield sensing, yield reconstruction, and errors. Precision Agriculture, 3(2), 135–154. https://doi.org/10.1023/A:1013819502827
Beck, A. D., J. P. Roades & S.W. Searcy. (1999). Post-process filtering techniques to improve yield map accuracy. In Proceedings of the 1999 ASAE/CSAE-SCGR Annual International Meeting, Paper No. 991048. Toronto, Ontario, Canada: July 1999. https://scholar.google.com/scholar?hl=ko&as_sdt=0%2C26&q=Postprocess+filtering+techniques+to+improve+yield+map+accuracy+a+d+beck+ASAE&btnG=
Beck, A. D., Searcy, S. W., & Roades, J. P. (2001). Yield data filtering technology for improved map accuracy. Applied Engineering in Agriculture, 17(4), 423–431. https://doi.org/10.13031/2013.6456
Blackmore, B. S. & C. J. Marshall. (1996). Yield mapping: Errors and algorithms. In: Proceedings of the 3rd International Conference on Precision Agriculture, pp 403-416, Madison, WI, USA: ASA-CSSA-SSSA. https://doi.org/10.2134/1996.precisionagproc3.c44
Blackmore, B. S., & Moore, M. (1999). Remedial correction of yield map data. Precision Agriculture, 1, 53–66. https://doi.org/10.1023/A:1009969601387
Chegini, G. R.. (2013). Determine of optimum operating conditions of combine harvester with stripper-header. World Applied Sciences Journal, 23, 1399–1407. https://doi.org/10.5829/idosi.wasj.2013.23.10.1829
Choi, M. C., Lee, K. H., Jang, B. E., Kim, Y. J., Chung, S. O., Lee, J. S., & Kim, S. K. (2018). Grain flow rate sensing for a 55 kW full-feed type multi-purpose combine. International Journal of Agricultural and Biological Engineering, 11(5), 206–210. https://doi.org/10.25165/j.ijabe.20181105.2686
Chosa, T., Shibata, Y., Kobayashi, K., Daikoku, M., Omine, M., Toriyama, K., Araki, K., & Hosokawa, H. (2006). Yield monitoring system for a head-feeding combine. Japan Agricultural Research Quarterly, 40(1), 37–43. https://doi.org/10.6090/jarq.40.37
Chung, S. O., Park, W. K., Chang, Y. C., Lee, D. H., & Park, W. P. (1999). Yield mapping of a small sized paddy field. Journal of the Korean Society for Agricultural Machinery, 24(2), 131–144. https://koreascience.kr/article/JAKO199911919842174.pdf
Chung, S. O., Sudduth, K. A., & Drummond, S. T. (2002). Determining yield monitoring system delay time with geostatistical and data segmentation approaches. Transactions of ASAE, 45(4), 915–926. https://doi.org/10.13031/2013.9938
Colvin, T. S. & S. Arslan. (2000). A review of yield reconstruction and sources of errors in yield maps. In: Proceedings of the 5th International Conference on Precision Agriculture (unpaginated), Madison, WI, USA: ASA-CSSA-SSSA. https://doi.org/10.1007/s11119-005-0681-8
Drummond, S. T., Fraisse, C. W., & Sudduth, K. A. (1999). Combine harvest area determination by vector processing of GPS position data. Transactions of ASAE, 42(5), 1221–1227. https://doi.org/10.13031/2013.13287
Han, S., Schneider, S. M., Rawlins, S. L., & Evans, R. G. (1996). A bitmap method for determining effective combine cut width in yield mapping. Transactions of ASAE, 40(2), 485–490. https://doi.org/10.13031/2013.21267
Lee, D. H., Sudduth, K. A., Drummond, S. T., Chung, S. O., & Myers, D. B. (2012). Automated yield map delay identification using phase correlation methodology. Transactions of the ASABE, 55(3), 743–752. https://doi.org/10.13031/2013.41506
Lee, K. H. (2017). Development of grain yield monitoring system software for 55 Kw full-feed type multi-purpose combines. Unpublished MS. thesis. Daejeon, The Republic of Korea, Department of Biosystems Machinery Engineering, Chungnam National University. http://cnu.dcollection.net/public_resource/pdf/200000548501_20220801140258.pdf
Lyle, G., Brayan, B. A., & Ostendorf, B. (2014). Post-processing methods to eliminate erroneous grain yield measurements: review and directions for future development. Precision Agriculture, 15(4), 377–402. https://doi.org/10.1007/s11119-013-9336-3
Missotten, B., Strubbe, G. & Baerdemaeker, J. De. (1996). Accuracy of grain and straw yield mapping. In: Proceedings of the 3rd International Conference on Precision Agriculture, pp. 713-722, Madison, WI, USA: ASA-CSSA-SSSA. https://doi.org/10.2134/1996.precisionagproc3.c85
Noack, P. H., Muhr, T., & Demmel, M. (2003). An algorithm for automatic detection and elimination of defective yield data. In J. V. Stafford & A. Werner (Eds.), Precision agriculture (3rd ed., pp. 445–450). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-514-7
Nolan, S. C., Haverland, G. W., Green, M., Penney, D. C., Henriksen, J. A. & Lachapelle, G. (1996). Building a yield map from geo-referenced harvest measurements. In Proceedings of the 3rd International Conference on Precision Agriculture, pp. 885-892, Madison, WI, USA: ASA-CSSA-SSSA. https://doi.org/10.2134/1996.precisionagproc3.c104
Pierce, F. J., Anderson, N. W., Colvin, T. S., Schueller, J. K., Humburg, D. S., & McLaughlin, N. B. (1997). Yield mapping. In F. J. Pierce & E. J. Sadler (Eds.), The state of site-specific management for agriculture (pp. 211–245). ASA-CSSA-SSSA. https://doi.org/10.2134/1997.stateofsitespecific.c11
Ping, J. L., & Dobermann, A. (2005). Processing of yield map data. Precision Agriculture, 6(2), 193–212. https://doi.org/10.1007/s11119-005-1035-2
Reitz, P., & Kutzbach, H. D. (1996). Investigations on a particular yield mapping system for combine harvesters. Computers and Electronics in Agriculture, 14(2-3), 137–150. https://doi.org/10.1016/0168-1699(95)00044-5
Reyns, P., Missotten, B., Ramon, H., & De Baerdemaeker, J. (2002). A review of combine sensors for precision farming. Precision Agriculture, 3(2), 169–182. https://doi.org/10.1023/A:1013823603735
Rural Development Administration. (2017). Current Status of agriculture - farmland and agricultural population. Rural Development Administration. Jeonju-si, Jeollabuk-do, Republic of Korea. Available at: http://www.rda.go.kr/ (2019.12.01.).
Shearer, S. A., Fulton, J. P., McNeill, S. G., & Higgins, S. F. (1999). Elements of precision agriculture: basics of yield monitor installation and operation. Resource document. The University of Kentucky Cooperative Extension Service. www2.ca.uky.edu/agcomm/pubs/pa/pa1/pa1.pdf
Sudduth, K. A., & Drummond, S. T. (2007). Yield Editor: Software for removing errors from crop yield maps. Agronomy Journal, 99(6), 1471–1482. https://doi.org/10.2134/agronj2006.0326
Sudduth, K. A., S. T. Drummond & D. B. Myers. (2012). Yield Editor 2.0: software for automated removal of yield map errors. Paper No. 121338243. American Society of Agricultural and Biological Engineers Annual International Meeting, Dallas, TX, USA. https://doi.org/10.13031/2013.41893
Sudduth, K. A., S. T. Drummond, W. Wang, M. J. Krumpelman & C. W. Fraisse. (1998). Ultrasonic and GPS measurement of combine swath width. Paper No. 983096. American Society of Agricultural and Biological Engineers Paper. St. Joseph, MI, USA.
Funding
This research was supported by the Technology Innovation Program (or Industrial Stragegic Technology Development Program, 10044654, “his research was supported by the Technology Innovation Progra), funded by the Ministry of Trade, Industry & Energy, Korea.
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Lee, KH., Chung, SO. & Sudduth, K.A. Development of User Terminal Software for Korean Grain Yield Monitoring Systems. J. Biosyst. Eng. 47, 386–401 (2022). https://doi.org/10.1007/s42853-022-00153-x
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DOI: https://doi.org/10.1007/s42853-022-00153-x