Wild Radar 2.0
ICT & Software Engineering
Client company:Smart Parks
David La Gordt Dillie
Marco Weel
Coen den Hertog
Santi Dudok
Mohammed Al-Eryani
Aron Hemmes
Project description
Two Challenges:
1) To create an application that farmers and hikers to use to know when animals are near them or their chosen locations.
2) To create an application which researchers can use to analyse animal and user location data.
Context
The Netherlands experiences a major wildlife comeback. Various wild species, such as the wolf, European bison, beaver are quickly increasing in numbers and their impact on the human living environment, both positive and negative, is increasing as well. For example, the wolf contributes to biodiversity and a healthier nature but is also a serious threat for the farmers’ livestock. The newly started research project WildlifeNL is directed at understanding human-wildlife interaction in all its complexity and ultimately providing ways to enable low conflict coexistence.
Fontys ICT participates in WildlifeNL with Software and Data Engineering expertise. One of the tools being developed is the wildlife tracking application WildRadar, which monitors big animals all over NL and uses the location information to alert and inform various stakeholders like farmers, wildlife management institutions, researchers, the general public etc. Some typical scenarios are: a farmer can subscribe to an alerting service that warns him when a dangerous animal is within a certain distance from his farm; the wildlife management institutions need to know which species and how many wild animals are there in their managed area, and how these numbers evolve in time; researchers want to analyse location data in order to find migration patterns etc.
Results
Our finals products are two web applications. The first is a portal for researchers to see data on animal and user locations and user reports after having encountered an animal. The second is a downloadable PWA (Progressive Web App) which allows users to create estates and enable their own live location and receive alerts when animals come within a certain radius.
About the project group
Project Duration: 5 September -> 15 January (1 semester)
Way of working: Agile (5 total sprints of 3 weeks spread across the semester)
About us: We were originally two separate groups but 2 weeks into the semester some students resigned and we chose to merge the groups.