Bio-Inspired Recruiting Protocol for FANET in Precision Agriculture Domains: Pheromone Parameters Tuning

M. Tropea, A. Santamaria, Giuseppe Potrino, F. Rango
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引用次数: 10

Abstract

Unmanned Aerial Vehicles (UAVs) are one of the most important areas of technological research thanks to its rapid development. They find application in many aspects of real world such as precision agriculture where they are able to give a ’big hand’ to the farmers’ issues. This paper deals with the use of UAVs, also called drones, in the precision agriculture domain in order to face parasites or sudden climate changes issues that can severely affect the agricultural products quality. These new technologies can support farmers to face the threats and, in the specific case, to kill parasites that can destroy plants in the cultivated field. In this work a recruiting protocol based on a bio-inspired approach is presented, showing the performance of the proposed mechanism varying different algorithm parameters in order to tune in appropriate way the algorithm implementation.
精准农业领域FANET的仿生招募协议:信息素参数调整
无人飞行器(Unmanned Aerial vehicle, UAVs)发展迅速,成为当今科技研究的重要领域之一。它们在现实世界的许多方面都有应用,比如精准农业,它们能够帮助农民解决问题。本文讨论了无人机在精准农业领域的应用,以应对可能严重影响农产品质量的寄生虫或突发气候变化问题。这些新技术可以帮助农民应对这些威胁,在特定情况下,还可以帮助农民杀死可能破坏耕地植物的寄生虫。在这项工作中,提出了一种基于生物启发方法的招聘协议,展示了所提出的机制在不同算法参数下的性能,以便以适当的方式调整算法实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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