Optimal Choice of Agricultural Drone using MADM Methods

Abstract

This paper presents an opening for optimum alternative of agriculture drone for little forming space by using Multi Attribute Decision Making (MADM) strategies particularly Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Drones are also called as unmanned aerial vehicles (UAVs) having various works informing sector and play important role to spray pesticide, assist in planning irrigation schedules etc. A structured andeconomical perspective choice of agriculture drone is important, to settle on a best option for critical tasks into account.MADM methods are interpretative processes which are well suited in choice of different drones. This work suggests AHP andTOPSIS to judge drone alternatives for choice of method. In this work proposes a comprehensive list of key factors that have asignificant influence on drone selection. A total of 10 sub-criteria have been identified and grouped under three main criteria,namely, (i) Functional output (ii) Economic consideration, (iii) Technical input. These entire criteria area unit extracted fromon-line literature and skilled opinion. AHP technique is employed to work out on weights of every attribute and afterward, it isapplied to MADM methods to rank a drone substitutes. Result of study shows that Agriculture Drone one (NAL410 model) wasdesignated because the best suited for tiny forming space.