Use of Artificial Intelligence for Automated Detection and Surveillance of Red Imported Fire Ants Nests

Author:

Su Xin,Shi Guijie,Zhong Jiamei,Li Yuling,Dai Wennan,Xu Guohua,Fox Eduardo G. P.,Qiu Hualong,Yan Zheng

Abstract

AbstractThe red imported fire ant,Solenopsis invictaBuren is a destructive invasive species that has spread around the world. Early detection ofS. invictanests is critical for effective monitoring and control in invaded regions. This study presents a novel surveillance system forS. invictanests combining artificial intelligence and robotic dogs. The system was designed with intelligent recognition algorithms to accurately identifyS. invictanests. With a precision rate of 95%, the system yielded efficient detection ofS. invictanests with increased sensitivity and low missing and false discovery rates, which can aid or even replace humans in locating and delivering pesticides to fire ant nests in open fields to effective control of this invasive pest.

Publisher

Cold Spring Harbor Laboratory

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