Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1053
Title: Invasive Plant Detection and Management Platform
Authors: Kasthurirathna, D
Lokuge, K
Mendis, R
Galagedara, L
Vijekumar, K
Keywords: Invasive Plant Detection
Management Platform
Issue Date: 9-Jun-2020
Publisher: IEEE
Citation: D. 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.
Series/Report no.: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe);Pages 1-6
Abstract: Invasive 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.
URI: http://rda.sliit.lk/handle/123456789/1053
ISBN: 978-1-7281-7455-6
Appears in Collections:Department of Computer Science and Software Engineering-Scopes
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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