Visualization And Geotagging Of Selected Mangrove Species In Davao Del Sur
DOI:
https://doi.org/10.64656/spamastrj.v4i1.21Keywords:
Mangroves, visualization, geotagging, rapid application development, convolutional neural network, fisheriesAbstract
The purpose of this study is to aid the Bureau of Fisheries and Aquatic Resources (BFAR) in monitoring the mangrove ecosystem. The android application provides modules that will capture and/or store mangrove details; geotagging of mangrove data, which will utilize Google maps for Davao del Sur; generate graphs presenting the total number of fully grown trees and propagules; establish an online database to sync locally captured data. Moreover, the leaf identification module was also developed as an added feature, where mangrove species have been identified according to their leaf features using the CNN classifier. The application development was carried out through the Rapid Application Development Model as a methodology. The study has been found successful in to its objectives, yet recommendations have been laid down. It has been recommended that the application should be dynamic in terms of modifying parameters of mangrove details; consider other mangrove species to be captured and/or stored; include indicating on what barangay the mangrove forest has been located to improve the usability of the project; use android phones with high GPS capability to attain minimal error on fetching coordinates; graphs API used must be locally hosted so that graphs will be loaded even without internet connectivity.
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References
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Copyright (c) 2021 Rhea Mae L. Perito (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.