Publication:
Invasive Plant Detection and Management Platform

dc.contributor.authorKasthurirathna, D
dc.contributor.authorLokuge, K
dc.contributor.authorMendis, R
dc.contributor.authorGalagedara, L
dc.contributor.authorVijekumar, K
dc.date.accessioned2022-02-09T05:50:10Z
dc.date.available2022-02-09T05:50:10Z
dc.date.issued2020-06-09
dc.description.abstractInvasive plants are a threat to natural ecosystems. Sri Lanka's rich biodiversity is severely affected by the uncontrollable spread of this foreign flora. The authorities involved in invasive plant management face various challenges when identifying, monitoring, and as well as forecasting the spread of invasive plants. Another challenge faced by the field members is the difficulty in communication during the eradication process. The proposed solution is a software platform that aims to solve the above problems using mobile and web-based technologies. The mobile application is capable of identifying invasive plants, mapping their geographical location, and off-the-grid communication. The web application provides services to monitor and forecast the potential spread of harmful non-native plant species.en_US
dc.identifier.citationD. Kasthurirathna, K. Lokuge, R. Mendis, L. Galagedara and K. Vijekumar, "Invasive Plant Detection and Management Platform," 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2020, pp. 1-6, doi: 10.1109/EEEIC/ICPSEurope49358.2020.9160590.en_US
dc.identifier.doi10.1109/EEEIC/ICPSEurope49358.2020.9160590en_US
dc.identifier.isbn978-1-7281-7455-6
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/1053
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe);Pages 1-6
dc.subjectInvasive Plant Detectionen_US
dc.subjectManagement Platformen_US
dc.titleInvasive Plant Detection and Management Platformen_US
dc.typeArticleen_US
dspace.entity.typePublication

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