Evaluation of Plant Distribution Regularity in Sowing with Different Guidance Systems by GPS, GIS and Voronoi Polygons
Yükleniyor...
Dosyalar
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
RTK, Voronoi, CBS, GPS
Kaynak
Selcuk Journal of Agriculture and Food Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
35
Sayı
2
Künye
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), 155-160.
DOI: 10.15316/SJAFS.2021.243
