| Yazarlar |
Abdülkadir Gümüşçü
Harran Üniversitesi, Türkiye |
|
Mehmet Emin Tenekeci
Harran Üniversitesi, Türkiye |
Öğr. Gör. Ahmet TABANLIOĞLU
Kastamonu Üniversitesi, Türkiye |
| Özet |
| By using unmanned aerial vehicles (UAV) for improving fertility of large agricultural lands inthe GAP region, it is aimed to guide the end users through processing of the aerial imagesobtained by using image processing algorithms. The productivity problem of "Agriculture"sector that has the most important role in the economic development of the region directly hasbeen solved in an innovative way by improving the fertility of agricultural lands. Related to theUAVs used for this process, the most important problem to consider is limited battery life.Therefore, it is very important to calculate the optimum route to reduce the flight time and toscan the large agricultural lands in the shortest time. In this paper, the shortest path problem isoptimized by using the genetic algorithm for scanning large agricultural lands and collectingdata. In the study, the points taken by UAV according to the field of view of the images aredetermined. The shortest path has been calculated by using genetic algorithm so that images canbe taken from these determined points within a minimum flight time. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayımlanan tam makale |
| Dergi Adı | International Advanced Researches and Engineering Journal |
| Dergi ISSN | 2618-575X |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | Türkçe |
| Basım Tarihi | 01-2021 |
