Javed Qaiser, Bouhadi Mohammed, Ban Smiljana Goreta, Ban Dean, Heath David, Iqbal Babar, Sun Jianfan, Černe Marko
Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, Croatia.
Jožef Stefan Institute, Jamova Cesta 39, 1000 Ljubljana, Slovenia.
Plants (Basel). 2025 May 18;14(10):1510. doi: 10.3390/plants14101510.
Invasive plant species threaten biodiversity, disrupt ecosystems, and are costly to manage. Standard control methods, such as mechanical and chemical (herbicides), are usually ineffective and time-consuming and negatively affect the environment, especially in the latter case. This review explores the potential of smart chip technology (SCT) as a sustainable, precision approach tool for invasive species management. Integrating microchip sensors with artificial intelligence (AI) into the Internet of Things (IoT) and remote sensing technology allows for real-time monitoring, predictive modelling, and focused action, significantly improving management effectiveness. As one of many examples discussed herein, AI-driven decision-making systems can process real-time data from IoT-enabled environmental sensors to optimize invasive species detection. Smart chip technology also offers real-time monitoring of invasive species' life processes, spread, and environmental effects, enabling artificial intelligence-powered eco-friendly control strategies that minimize herbicide usage and lessen collateral ecosystem damage. Despite the potential of SCT, challenges remain, including cost, biodegradability, and regulatory constraints. However, recent advances in biodegradable electronics and AI-driven automation offer promising solutions to many identified obstacles. Future research should focus on scalable deployment, improved predictive analytics, and interdisciplinary collaboration to drive innovation. Using SCT can help make invasive species control more sustainable while supporting biodiversity and strengthening agricultural systems.
入侵植物物种威胁生物多样性、扰乱生态系统,且管理成本高昂。标准的控制方法,如机械和化学(除草剂)方法,通常效果不佳且耗时,还会对环境产生负面影响,尤其是在使用除草剂的情况下。本综述探讨了智能芯片技术(SCT)作为入侵物种管理的一种可持续、精准方法工具的潜力。将微芯片传感器与人工智能(AI)集成到物联网(IoT)和遥感技术中,可实现实时监测、预测建模和针对性行动,显著提高管理效率。作为本文讨论的众多例子之一,人工智能驱动的决策系统可以处理来自物联网环境传感器的实时数据,以优化入侵物种检测。智能芯片技术还能对入侵物种的生命过程、扩散和环境影响进行实时监测,从而实现由人工智能驱动的环保控制策略,最大限度地减少除草剂的使用,并减轻对周边生态系统的破坏。尽管智能芯片技术具有潜力,但挑战依然存在,包括成本、生物降解性和监管限制。然而,可生物降解电子技术和人工智能驱动的自动化方面的最新进展为许多已识别的障碍提供了有前景的解决方案。未来的研究应侧重于可扩展的部署、改进的预测分析以及跨学科合作以推动创新。使用智能芯片技术有助于使入侵物种控制更具可持续性,同时支持生物多样性并加强农业系统。