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Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons

Year 2021, Volume: 35 Issue: 2, 158 - 163, 25.08.2021

Abstract

In this study, sowing was carried out with 3 different tractor guidance methods: operator-controled, GPS-controled and automatic-controled. The optimum nutrient areas required for each plant were evaluated using voronoi polygons. Voronoi polygons were used to obtain nutrient areas. Voronoi polygons were used to obtain living spaces. The plant coordinates taken with CORS-RTK GPS were loaded into the CBS program and the voronoi polygon for each plant was obtained. Comparison of nutrient areas was made with shape coefficients calculated using polygon area and perimeter values. Shape coefficient was 0.731 in operator-controlled application, 0.746 in GPS-controlled application and 0.715 in automatic-controled application. Compared to operator-controlled application, shape coefficients were found to be 2 % more in GPS-controlled application and 2 % less in automatic-controlled application. Although the shape coefficients are relatively less in the automatic-controlled system, it can be seen that better results can be obtained in terms of field success due to the advantages such as low workload on the operator, ease of application at night and improvements in time utilization coefficient. As a result of the statistical analysis, it has been found that there is no difference between the applications and can be used interchangeably. As a result, when the systems are compared with each other, it is seen that the automatic-controlled application is more successful

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Details

Primary Language English
Subjects Botany
Journal Section Research Article
Authors

Nurettin Kayahan This is me

Taner Üstüntaş This is me

Submission Date July 1, 2021
Publication Date August 25, 2021
Published in Issue Year 2021 Volume: 35 Issue: 2

Cite

APA Kayahan, N., & Üstüntaş, T. (2021). Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons. Selcuk Journal of Agriculture and Food Sciences, 35(2), 158-163. https://izlik.org/JA75JH58UZ
AMA 1.Kayahan N, Üstüntaş T. Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons. Selcuk J Agr Food Sci. 2021;35(2):158-163. https://izlik.org/JA75JH58UZ
Chicago Kayahan, Nurettin, and Taner Üstüntaş. 2021. “Evaluation of Plant Distribution Regularity in Sowing With Different Guidance Systems by GPS, GIS and Voronoi Polygons”. Selcuk Journal of Agriculture and Food Sciences 35 (2): 158-63. https://izlik.org/JA75JH58UZ.
EndNote Kayahan N, Üstüntaş T (August 1, 2021) Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons. Selcuk Journal of Agriculture and Food Sciences 35 2 158–163.
IEEE [1]N. Kayahan and T. Üstüntaş, “Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons”, Selcuk J Agr Food Sci, vol. 35, no. 2, pp. 158–163, Aug. 2021, [Online]. Available: https://izlik.org/JA75JH58UZ
ISNAD Kayahan, Nurettin - Üstüntaş, Taner. “Evaluation of Plant Distribution Regularity in Sowing With Different Guidance Systems by GPS, GIS and Voronoi Polygons”. Selcuk Journal of Agriculture and Food Sciences 35/2 (August 1, 2021): 158-163. https://izlik.org/JA75JH58UZ.
JAMA 1.Kayahan N, Üstüntaş T. Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons. Selcuk J Agr Food Sci. 2021;35:158–163.
MLA Kayahan, Nurettin, and Taner Üstüntaş. “Evaluation of Plant Distribution Regularity in Sowing With Different Guidance Systems by GPS, GIS and Voronoi Polygons”. Selcuk Journal of Agriculture and Food Sciences, vol. 35, no. 2, Aug. 2021, pp. 158-63, https://izlik.org/JA75JH58UZ.
Vancouver 1.Kayahan N, Üstüntaş T. Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons. Selcuk J Agr Food Sci [Internet]. 2021 Aug. 1;35(2):158-63. Available from: https://izlik.org/JA75JH58UZ

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