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Proceedings Paper

Drones coordination protocols in the precision agriculture context
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Paper Abstract

In the last years, the Unmanned Aerial Vehicles (UAVs), also known as drones, are becoming always more attractive due to their capacity of a rapid deployment and their wide range of application in many real world scenarios. Among the various fields of application, recently, the use of drones in the precision agriculture is becoming much relevant for the researchers community. The studies related to agriculture concern different aspects such as livestock monitoring, crops and water levels. The drones are able to perform these tasks thank to a series of different sensors and actuators equipped on board. Cameras on board allow, through opportune algorithms, the gathering of detailed information about plants health. If a health problem is detected then the the drone can intervene precisely on the specific problem. The contribution of this work is a communication protocols analysis applied to the problem of controlling a fleet of drones against parasites attacks to the crops. Moreover, the study of the different approaches aims to measure their performance and costs. In particular, the various approaches face also the issues of exploring the area in the shortest time possible avoiding that the same area is explored from more drones, discovering the parasites and preventing their proliferation spraying the right quantity of pesticide. The drones, being equipped with limited quantities of both fuel and pesticide, can ask for help to other drones to complete the elimination of the parasites. To face these last issues some recruitment protocols have been tested, focusing on bio-inspired one.

Paper Details

Date Published: 14 May 2019
PDF: 11 pages
Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 110080G (14 May 2019); doi: 10.1117/12.2518973
Show Author Affiliations
Giuseppe Potrino, Univ. della Calabria (Italy)
Abdon Serianni, Univ. della Calabria (Italy)
Nunzia Palmieri, Univ. della Calabria (Italy)

Published in SPIE Proceedings Vol. 11008:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
J. Alex Thomasson; Mac McKee; Robert J. Moorhead, Editor(s)

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