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      • KUL10 - Drone analysis of mangrove species and basic health condition

          • 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
Campus mondial de la mer
Technopôle Brest-Iroise
525, Avenue Alexis de Rochon
29280 Plouzané
  • Brest Métropole
  • Région Bretagne
  • https://www.tech-brest-iroise.fr/
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