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

Abdülkadir GÜMÜŞÇÜ; Mehmet Emin TENEKECİ; Ahmet TABANLIOĞLU

Makale detayları

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

Yazarlar:

Abdülkadir GÜMÜŞÇÜ | Mehmet Emin TENEKECİ | Ahmet TABANLIOĞLU

Yayıncı:

Ceyhun YILMAZ

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

International Advanced Researches and Engineering Journal 2018 Vol.2 Issue 3, pp.315-319

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000469524

Sıklık:

Üç Yıllık

eISSN:

2618-575X

Özet:

 


By using unmanned aerial vehicles (UAV) for improving fertility of large
agricultural lands in the GAP region, it is aimed to guide the end users through
processing of the aerial images obtained 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 has been solved
in an innovative way by improving the fertility of agricultural lands. Related
to the UAVs 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 to scan the large agricultural lands in the
shortest time. In this paper, the shortest path problem is optimized by using the
genetic algorithm for scanning large agricultural lands and collecting data. In
the study, the points taken by UAV according to the field of view of the images
are determined. The shortest path has been calculated by using genetic algorithm
so that images can be taken from these determined points within a minimum
flight time.


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Makale detayları

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

Yazarlar: Abdülkadir GÜMÜŞÇÜ | Mehmet Emin TENEKECİ | Ahmet TABANLIOĞLU

Yayıncı: Ceyhun YILMAZ

Ana Başlıklar: Mühendislik ve uygulamalı operasyonlar

Dergi: International Advanced Researches and Engineering Journal 2018 Vol.2 Issue 3, pp.315-319

Belge Tipi: Makale

Yayın Tarihi: 12/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000469524

Sıklık: Üç Yıllık

eISSN: 2618-575X

Sayı

Yazarlar:

Abdülkadir GÜMÜŞÇÜ | Mehmet Emin TENEKECİ | Ahmet TABANLIOĞLU

Yayıncı:

Ceyhun YILMAZ

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

International Advanced Researches and Engineering Journal 2018 Vol.2 Issue 3, pp.315-319

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000469524

Sıklık:

Üç Yıllık

eISSN:

2618-575X