The Availability of UAV Systems for Agricultural Purposes

Year 2016, , 111 - 120, 30.12.2016

Tekin Susam Ömer Yıldırım Servet Yaprak Samed Inyurt Ahmet Delen

https://doi.org/10.13002/jafag1127

Abstract

Unpiloted aerial vehicles with built-in power system, carrying useful freight, let to fly automatically or by a remote control system are called Unmanned Aerial Vehicles. The UAVs used for various purposes in civil and military fields today, too, have exhibited development as result of developments in aviation, electronics, communications and navigation technologies in parallel with the developments which occurred in the field of science and technology in the 20. century.
These have ensured ease of use and exhibited a rapid increase due to reasons such as, the sensor systems have become smaller, mobility has increased and they can fly at lower altitudes. Use of Unmanned Aerial Vehicles (UAVs) has become widespread in recent times as result of this. Particularly, in addition to imaging studies, use of UAV vehicles has come in the agenda for photogrammetric surveys in small scale areas against manned air vehicles, landslide and erosion monitoring, and for purposes of observing agricultural activities (determining the agricultural crop pattern, observing plant diseases, steering small scale agricultural policies, etc.). In this study the TM-GEO1 unmanned aerial vehicle designed and produced by the Gaziosmanpaşa University (GOU) Geomatics Engineering Department and the firm TEKNOMER has been used. Gaziosmanpaşa University Taşlıçiftlik Campus agricultural land and the Tokat Agricultural Research Institute pilot lands have been selected as the study area.. The test study surface areas are 342,37 hectare and 9 hectare, respectively and the flight altitude has been planned as 100 meters, the flight columns as 80% longitudinal and 60% transversal overlapped. Total 3044 numbers of photos within the campus area and 60 numbers of photos in the agricultural area have been evaluated. The photos obtained have been evaluated by PIX4D software and the image classifications have been made by using the Ecognition Developer software. 41 numbers of Ground Control Points have been included in the evaluation; images have been produced by pixel matching algorithms for the agricultural area. As result of evaluation it has been obtained as RMS=±0.015 m.

Keywords

UAV, Remote sensing, agricultural land planning, image processing

References

• Ahmad M (2014). The Legality of Unmanned Aerial Vehicles Outside The Combat Zone: A Case Study of The Federally Administered Tribal Areas of Pakistan” Defense & Security Analysis.
• Akyürek S (2012). İnsansız Hava Araçları Muharebe Alanında ve Terörle Mücadelede Devrimsel Dönüşümü (Rapor No:53), Ankara, Bilgesam. (Revolutionary Transformation of Unmanned Aerial Vehicles in Combat Field and Fight Against Terrorism (Report No: 53), Ankara, Bilgesam.)
• Chandra AM Ghosh SK (2007). Remote Sensing and Geographical Information System, Alpha Science International, Oxford U.K. ss 16-24, 97-114
• Cracknell A, Hayes L (1991). “Introduction to remote sensing”, London : New York : Taylor & Francis.
• Eisenbeiss H (2009). UAV Photogrammetry. Dissertation ETH No.18515, Institute of Geodesy and Photogrammetry, ETH Zurich, Switzeraland.
• Hunt R, Hively D, Fujikawa, SJ, Linden D, Daughtry C, Mccarty G (2010). Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring, Remote Sensing, Volume:2, Pages:290-305.
• Kalkan K, Maktav D (2010). Nesne Tabanlı ve Piksel Tabanlı Sınıflandırma Yöntemlerinin Karşılaştırılması (Ikonos Örneği ), III. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, 11-13 Ekim, Kocaeli. (Comparison of Object Based and Pixel Based Classification Methods (Ikonos Example), III. Remote Sensing and Geographical Information Systems Symposium, 11-13 October, Kocaeli.)
• Koyuncu G (2006). İnsansız Hava Aracı Disiplinlerarası Tasarım Organizasyonu, İTÜ FBE,Yüksek Lisans tezi. İstanbul (Unmanned Aerial Vehicle Interdisciplinary Design Organization, İTÜ FBE, M.Sc. Thesis, İstanbul.)
• Nagai M, Chen T, Ahmed A, Shibasaki R (2008). UAV Borne Mapping By Multi Sensor Integration, The International Archives of the Photogrammetry, remote Sensing and Spatial Information Sciences, Beijing.
• Nex F, Remondino F (2014). UAV for 3D mapping applications:a review,Appl Geomatics, 6:1-15,DOI:10.1007/s12518-013-0120-x.
• Newcome, L. R. (2004). Unmanned aviation: a brief history of unmanned aerial vehicles. Aiaa.
• Lillesand TM and Kiefer RW (1994). Remote sensing and photo interpretation. 3rd. Edition, John Wiley & Sons: New York.
• Terkan A (2015). Terörizimle Mücadele Kapsamında İnsansız Hava Araçlarının Rolü. Federal Yönetimli Aşiret Bölgesi Örneği. Yüksek Lisans Tezi Kara Harp Okulu Ankara.(Role of Unmanned Aerial Vehicles Under Scope of Fight Against Terrorism. Federal Administration Tribe District Example. Master of Science Thesis Military Academy Ankara)
• Turner D, Lucieer A, Watson C (2011). Development of Aerial Vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imaginery, ISPRS Congress, Hannover.