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

Adis Puška, Miroslav Nedeljković, Darko Božanić, Anđelka Štilić, Yousif Raad Muhsen

2024Engineering review17 citationsDOIOpen Access PDF

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 companyAgricultural 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 theimportance 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 theDJI 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.

Topics & Concepts

CompromiseRanking (information retrieval)AgricultureDroneComputer scienceOperations researchEngineeringInformation retrievalPolitical scienceBiologyEcologyBotanyLawAerospace Engineering and Control Systems