| Title: | Smart chip technology for the control and management of invasive plant species : a review |
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| Authors: | ID Javed, Qaiser (Author)
ID Heath, David John, Institut "Jožef Stefan" (Author)
ID Černe, Marko (Author), et al. |
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| Files: |  URL - Source URL, visit https://www.mdpi.com/2223-7747/14/10/1510
 PDF - Presentation file, download (1,56 MB)
MD5: 34663D41E70CE39430B83F3C1FDDCAC6
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| Language: | English |
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| Typology: | 1.02 - Review Article |
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| Organization: |  IJS - Jožef Stefan Institute
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| Abstract: | first_pagesettingsOrder Article Reprints Open AccessReview Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review by Qaiser Javed 1,Mohammed Bouhadi 1ORCID,Smiljana Goreta Ban 1ORCID,Dean Ban 1,David Heath 2,Babar Iqbal 3ORCID,Jianfan Sun 3ORCID andMarko Černe 1,*ORCID 1 Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, Croatia 2 Jožef Stefan Institute, Jamova Cesta 39, 1000 Ljubljana, Slovenia 3 School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China * Author to whom correspondence should be addressed. Plants 2025, 14(10), 1510; https://doi.org/10.3390/plants14101510 Submission received: 19 March 2025 / Revised: 29 April 2025 / Accepted: 16 May 2025 / Published: 18 May 2025 (This article belongs to the Special Issue Ecology and Management of Invasive Plants—2nd Edition) Downloadkeyboard_arrow_down Browse Figures Review Reports Versions Notes Abstract 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. |
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| Keywords: | artificial intelligence, biosensors, invasive plant control, precision agriculture |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 19.03.2025 |
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| Article acceptance date: | 16.05.2025 |
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| Publication date: | 18.05.2025 |
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| Publisher: | MDPI |
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| Year of publishing: | 2025 |
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| Number of pages: | 1-16 str. |
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| Numbering: | Vol. 14, iss. 10 |
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| Source: | Švica |
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| PID: | 20.500.12556/DiRROS-31340  |
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| UDC: | 63 |
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| ISSN on article: | 2223-7747 |
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| DOI: | 10.3390/plants14101510 |
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| COBISS.SI-ID: | 285916675 |
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| Copyright: | © 2025 by the authors. |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 24. 7. 2026;
Soavtorja iz Slovenije: David Heath, Marko Černe;
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| Publication date in DiRROS: | 29.07.2026 |
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| Views: | 37 |
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| Downloads: | 27 |
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