The global agricultural sector is responsible for fulfilling the food requirements of the increasing population around the globe, alongside contributing to 28% of global employment. Drones are used for effective… Click to show full abstract
The global agricultural sector is responsible for fulfilling the food requirements of the increasing population around the globe, alongside contributing to 28% of global employment. Drones are used for effective and efficient spray of fertilizers to reduce labor and the associated costs. Various drones are available in the market, each with pros and cons. The main aim of this paper is to select a suitable drone for spraying fertilizers in agri-land among the various attributes using a novel Complex Linear Diophantine Fuzzy Soft set algorithm. This novel concept is first introduced alongside its fundamental operations like
               
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