Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review
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 th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/14/10/1510 |
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| author | Qaiser Javed Mohammed Bouhadi Smiljana Goreta Ban Dean Ban David Heath Babar Iqbal Jianfan Sun Marko Černe |
| author_facet | Qaiser Javed Mohammed Bouhadi Smiljana Goreta Ban Dean Ban David Heath Babar Iqbal Jianfan Sun Marko Černe |
| author_sort | Qaiser Javed |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1d052d83379e4243a5100758db7fb91a |
| institution | OA Journals |
| issn | 2223-7747 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj-art-1d052d83379e4243a5100758db7fb91a2025-08-20T02:33:51ZengMDPI AGPlants2223-77472025-05-011410151010.3390/plants14101510Smart Chip Technology for the Control and Management of Invasive Plant Species: A ReviewQaiser Javed0Mohammed Bouhadi1Smiljana Goreta Ban2Dean Ban3David Heath4Babar Iqbal5Jianfan Sun6Marko Černe7Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, CroatiaInstitute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, CroatiaInstitute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, CroatiaInstitute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, CroatiaJožef Stefan Institute, Jamova Cesta 39, 1000 Ljubljana, SloveniaSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, ChinaInstitute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, CroatiaInvasive 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.https://www.mdpi.com/2223-7747/14/10/1510artificial intelligencebiosensorsinternet of thingsinvasive plant controlprecision agricultureremote sensing |
| spellingShingle | Qaiser Javed Mohammed Bouhadi Smiljana Goreta Ban Dean Ban David Heath Babar Iqbal Jianfan Sun Marko Černe Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review Plants artificial intelligence biosensors internet of things invasive plant control precision agriculture remote sensing |
| title | Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review |
| title_full | Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review |
| title_fullStr | Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review |
| title_full_unstemmed | Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review |
| title_short | Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review |
| title_sort | smart chip technology for the control and management of invasive plant species a review |
| topic | artificial intelligence biosensors internet of things invasive plant control precision agriculture remote sensing |
| url | https://www.mdpi.com/2223-7747/14/10/1510 |
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