Challenges 2023 - KUL10 Drone analysis of mangrove species and basic health condition

Challenges Description:

We invite participants to develop an innovative mobile application that utilizes drone footage to identify mangrove tree species and assess their basic health condition. Mangrove ecosystems play a crucial role in coastal protection, biodiversity conservation, and climate change mitigation. However, monitoring and understanding the health of these ecosystems can be challenging and time-consuming. The proposed DroneApp should leverage machine learning and computer vision algorithms to analyze drone-captured footage of mangrove areas and provide valuable insights.

Key features of the application may include:

Species Identification: Utilize image recognition techniques to identify different mangrove tree species accurately.

Health Assessment: Develop algorithms to assess the basic health condition of identified mangrove trees, considering factors such as leaf color, density, and overall vitality.

Data Visualization: Present the results in an intuitive and user-friendly interface, displaying identified species, health assessments, and any potential threats or anomalies detected.

Geolocation Integration: Incorporate geolocation data to map the identified species and health assessments, providing a comprehensive view of mangrove ecosystems.

What the challenge owner would like to develop over 48h

• Create an mobile app which is able to give information about mangrove condition and basic species to help surveyor identify and determine harsh mangrove terrain

Which skills the challenge owner is looking for

• IT developer, on ground mangrove expert for species and basic indexes, citizen science specialist, communication expert