Drones Support in Precision Agriculture for Fighting Against Parasites

This paper faces with the support of drones in the precision agriculture domain. In these last years, new technologies allow operators of the sector to face with different threats such as parasites and sudden climatic changes that can severely degrade the crop or the quality of the cultivated products. The use of simulators for this purpose is a necessary help to researcher in order to test these tecnologies and to plan specific strategies and coordination techniques able to efficiently support farmers and achieve the target. In this work, the main contribution is to perform a comparison between two different types of parasites' search algorithms (Random Search and Distributed Search) in order to give an indication of their performance.