红火蚁
火蚁
火灾探测
蚂蚁
巢穴(蛋白质结构基序)
膜翅目
生物
生态学
工程类
建筑工程
生物化学
作者
Xin Su,Guijie Shi,Jiamei Zhong,Yuling Li,Wennan Dai,Augix Guohua Xu,Eduardo Gonçalves Paterson Fox,Jinzhu Xu,Hualong Qiu,Zheng Yan
摘要
The findings underscore the potential of AI-driven robotic systems in advancing pest management. The CyberDog/YOLOX system not only matched human inspectors in speed, but also exceeded them in accuracy and efficiency. This study's results are significant as they highlight how technology can be harnessed to address biological invasions, offering a more effective, ecologically friendly, and scalable solution for RIFA detection. The successful implementation of this system could pave the way for broader applications in environmental monitoring and pest control, ultimately contributing to the preservation of biodiversity and economic stability. © 2024 Society of Chemical Industry.
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