Evaluation of the Most Appropriate UAV Model for Agricultural Activities with Entropy-Based Grey Relational Analysis Model

Abstract

Agricultural activities are important for the continuation of humanity and play a major role in ensuring sustainability in production. Thanks to technological developments, improvements and efficiency in agricultural activities and land studies have increased. Thanks to precision agriculture practices, more effective agricultural management strategies have been developed by using remote control and sensing systems and unmanned aerial vehicle (UAV) technologies. In this way, thanks to current technologies, both productivity has increased and traditional methods are overcome with the integration of satellite space technology in an economical and reliable way. In this study, due to the success of UAVs in many different fields, evaluating which UAV model is the most suitable for increasing the efficiency of agricultural activities is an important decision problem. Due to the complex nature of the problem, multiple criteria and alternatives, and uncertainty in the data, successful results are obtained by using decision making and grey relational analysis (GRA) approach. First, a political, economic, social and technological (PEST) analysis was conducted to assess the impacts of drone technology on the agricultural sector from a broader perspective. Then, since it is a multidimensional and strategically important decision problem, the ideal UAV model is investigated with the entropy-based grey relational analysis approach, which is a two-stage approach since it is expected to provide more reliable results. Accordingly, the A1 model emerged as the most suitable UAV type, followed by the A6, A4, A2, A3 and A5 models. The results obtained from this study are expected to help researchers and those who take an active role in agricultural activities with the analytical approach it offers.

Keywords

• Grey relationship analysis
• entropy
• agricultural productivity
• PEST analysis
• UAV

Entropi Tabanlı Gri İlişkisel Analiz Modeliyle En Uygun İHA Modelinin Tarım Faaliyetleri İçin Değerlendirilmesi

Abstract

Tarım faaliyetleri insanlığın devamı için önemli olup üretimde sürdürülebilirliğin sağlanmasında büyük rol oynamaktadır. Teknolojik gelişmeler sayesinde tarım faaliyetlerinde ve arazi çalışmalarında iyileşme ve verimlilik artmıştır. Hassas tarım uygulamaları sayesinde uzaktan kontrol ve algılama sistemleri ile insansız hava araç (İHA) teknolojileri kullanılarak daha etkili tarım yönetim stratejileri geliştirilmiştir. Güncel teknolojiler sayesinde hem verimlilik artmış hem de ekonomik ve güvenilir biçimde uydu uzay teknoloji entegrasyonu ile geleneksel yöntemlerin dışına çıkılmaktadır. Bu çalışmada, İHA’ların çok farklı alanlardaki başarısı nedeniyle tarımsal faaliyetlerdeki etkinliğin artırılması nedeniyle hangi İHA modelinin en uygun olduğunun değerlendirilmesi önemli bir karar problemidir. Problemin karmaşık yapısı, birden fazla kriter ve alternatifi barındırması, verilerdeki belirsizlik nedeniyle karar verme ve gri ilişkisel analiz (GİA) yaklaşımı kullanılarak başarılı sonuçlar elde edilmektedir. Öncelikle İHA teknolojisinin tarım sektörü üzerindeki etkilerini daha geniş bir perspektiften değerlendirmek için PEST (politik, ekonomik, sosyal ve teknolojik) analizi yapılmıştır. Ardından çok boyutlu ve stratejik önemde bir karar problemi olması nedeniyle daha güvenilir sonuç sunması beklendiği için iki aşamalı bir yaklaşım olan entropi tabanlı gri ilişkisel analiz yaklaşımı ile ideal İHA modeli araştırılmaktadır. Buna göre A1 modeli en uygun İHA tipi olarak ortaya çıkmış bunu A6, A4, A2, A3 ve A5 modelleri izlemektedir. Bu çalışmadan elde edilen sonuçların araştırmacılara ve tarım faaliyetlerinde aktif rol alanlara, sunduğu analitik yaklaşımıyla yardımcı olması beklenmektedir.

Keywords

• Gri ilişkisel analiz
• entropi
• tarımsal verimlilik
• PEST analizi
• İHA

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