The implementation of robotic dogs in automatic detection and surveillance of red imported fire ant nests.

Journal: Pest management science
PMID: 38946320

Abstract

BACKGROUND: The Red Imported Fire Ant (RIFA), scientifically known as Solenopsis invicta, is a destructive invasive species causing considerable harm to ecosystems and generating substantial economic costs globally. Traditional methods for RIFA nests detection are labor-intensive and may not be scalable to larger field areas. This study aimed to develop an innovative surveillance system that leverages artificial intelligence (AI) and robotic dogs to automate the detection and geolocation of RIFA nests, thereby improving monitoring and control strategies.

Authors

  • Xin Su
    Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Guijie Shi
    State Key Laboratory of Grassland Agro-Ecosystems & College of Ecology, Lanzhou University, Lanzhou, China.
  • Jiamei Zhong
    Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, China.
  • Yuling Li
    Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Wennan Dai
    State Key Laboratory of Grassland Agro-Ecosystems & College of Ecology, Lanzhou University, Lanzhou, China.
  • Augix Guohua Xu
    Zhejiang Laboratory, Hangzhou, China.
  • Eduardo Gp Fox
    Programa de Pós-Graduação em Ambiente e Sociedade (PPGAS), State University of Goiás (UEG), Quirinópolis, Brazil.
  • Jinzhu Xu
    Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, China.
  • Hualong Qiu
    Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, China.
  • Zheng Yan

Keywords

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