Tools
Tools
Gilbert, Daniel (2018) Total Fishing Web Application: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.
|
PDF (Bachelor of Science)
Download (2MB) | Preview |
Abstract
Fishing is one of the biggest recreational activities in the world, and although the older generation enjoys that little technology is needed to fish, that does not mean it should be so far behind in IT compared to other hobbies. I have grown up fishing, and I am included in the new generation of which believe technology and community could advance how people fish.
The older generation believes that fishing spots should be kept secret, so they can enjoy fishing there for as long as possible, as there is a big problem in Ireland with poaching for fish. I believe this application will provide more awareness and highlight the safety of the fish stocks in our countries.
Total Fishing will target Freshwater anglers, generally from the age group of 10-40. The application will provide a community to all fishermen where they can share all sorts of information about their catches. For inexperienced users, there will be a section of the app that will use an image recognition system to detect what species of fish they have caught.
There will be a section that all users will get use from, which will be the best fishing day predictor. This page will use a weighted score model that was based off multiple datasets containing over 100 values. The user will select a location on the map where they would like to fish; this will automatically retrieve a 5-day forecast of weather information on that current location. This data will be stored in arrays and scored accordingly.
Actions (login required)
 |
View Item |