The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands

TABANLIOĞLU, Ahmet; GÜMÜŞÇÜ, Abdülkadir; TENEKECI, MEHMET EMIN

The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands

Abdülkadir GÜMÜŞÇÜ, (Harran Üniversitesi)

Mehmet Emin TENEKECİ, (Harran Üniversitesi)

Ahmet TABANLIOĞLU (Harran Üniversitesi)

International Advanced Researches and Engineering Journal

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Yıl: 2018 Cilt: 2 Sayı: 3 Sayfa Aralığı: 315 - 319 Metin Dili: İngilizce İndeks Tarihi: 14-05-2020

The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands

Öz:

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 Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	GÜMÜŞÇÜ A, TENEKECI M, TABANLIOĞLU A (2018). The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. , 315 - 319.
Chicago	GÜMÜŞÇÜ Abdülkadir,TENEKECI MEHMET EMIN,TABANLIOĞLU Ahmet The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. (2018): 315 - 319.
MLA	GÜMÜŞÇÜ Abdülkadir,TENEKECI MEHMET EMIN,TABANLIOĞLU Ahmet The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. , 2018, ss.315 - 319.
AMA	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. . 2018; 315 - 319.
Vancouver	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. . 2018; 315 - 319.
IEEE	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A "The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands." , ss.315 - 319, 2018.
ISNAD	GÜMÜŞÇÜ, Abdülkadir vd. "The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands". (2018), 315-319.

APA	GÜMÜŞÇÜ A, TENEKECI M, TABANLIOĞLU A (2018). The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. International Advanced Researches and Engineering Journal, 2(3), 315 - 319.
Chicago	GÜMÜŞÇÜ Abdülkadir,TENEKECI MEHMET EMIN,TABANLIOĞLU Ahmet The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. International Advanced Researches and Engineering Journal 2, no.3 (2018): 315 - 319.
MLA	GÜMÜŞÇÜ Abdülkadir,TENEKECI MEHMET EMIN,TABANLIOĞLU Ahmet The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. International Advanced Researches and Engineering Journal, vol.2, no.3, 2018, ss.315 - 319.
AMA	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. International Advanced Researches and Engineering Journal. 2018; 2(3): 315 - 319.
Vancouver	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands. International Advanced Researches and Engineering Journal. 2018; 2(3): 315 - 319.
IEEE	GÜMÜŞÇÜ A,TENEKECI M,TABANLIOĞLU A "The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands." International Advanced Researches and Engineering Journal, 2, ss.315 - 319, 2018.
ISNAD	GÜMÜŞÇÜ, Abdülkadir vd. "The shortest path detection for unmanned aerial vehicles via genetic algorithm on aerial imaging of agricultural lands". International Advanced Researches and Engineering Journal 2/3 (2018), 315-319.