Evaluation of agricultural drones based on the COmpromise Ranking from Alternative SOlutions (CORASO) methodology

Authors

  • Adis Puška Department of Public Safety, Government of Brčko District of Bosnia and Herzegovina, Brčko, Bosnia and Herzegovina
  • Miroslav Nedeljković Institute of Agricultural Economics, Belgrade, Serbia
  • Darko Božanić Military Academy, University of Defense in Belgrade, Belgrade, Serbia
  • Anđelka Štilić The College of Tourism, Academy of Applied Studies Belgrade, Belgrade, Serbia
  • Yousif Raad Muhsen Department of Civil, College of Engineering, Wasit University, Wasit, Iraq; Technical Engineering College, Al-Ayen University, ThiQar, Iraq

Abstract

The development of agriculture is closely linked to technology and innovation. Drones have become a practical tool that helps improve agricultural production. This research focuses on choosing the spraying drone with the best features for the company Agricultural goods Semberija. A multi-criteria decision-making process based on expert opinions was used to evaluate eight different drones across ten criteria. The fuzzy SiWeC (Simple Weight Calculation) method was applied to determine the importance of each criterion, showing that all criteria were similarly important in the decision-making process. To select the best drone, the fuzzy COmpromise Ranking from Alternative SOlutions (CORASO) method was used. The results show that the DJI Agras T30 drone has the best features and is the preferred choice for purchase. These findings were confirmed by further comparative and sensitivity analyses. This study highlights the use of new methods for selecting equipment in agriculture.

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Published

2024-12-23

How to Cite

Evaluation of agricultural drones based on the COmpromise Ranking from Alternative SOlutions (CORASO) methodology. (2024). Engineering Review, 44(4), 77-90. https://engineeringreview.org/index.php/ER/article/view/2653

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