Abstract
FishMAZE, Fish Monitoring and AI-based Zone Evaluation, is an analytics and reporting solution to help solve the following: prediction of fish likelihood on a coordinate, creation of a user-friendly visualization for fishermen, and recommendation of sustainable fishing routes. Environmental data, historical catch notes, and coordinate data were used to train a regression model for fish likelihood prediction. Combining both the prediction model and the interactive dashboard, a fishing plan based on maximum fish catch was visualized. The final model was able to score an overall RMSE of 8.6830 against the actual coordinates of the test data provided
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
