Mapping and Recommending Allocation of Fisheries to Increase Aquatic Production in The Philippines

Start Date: September 30, 2022 | 4 years ago

Challenge Background

The Philippines is an archipelago surrounded by vast seas and oceans. With the availability of aquatic resources, the country leverages these for socioeconomic growth by establishing fisheries and engaging in various fishing activities. In 2018, the Philippines was ranked 8th among the top fish-producing countries in the world (FAO, 2020). However, as of 2020, there has been a decrease in volume of production by 0.33% and production value by 2.90% compared to 2019 (Philippine Fisheries Profile, 2020).

Project Timeline

Collection of satellite imagery, fishery sites and inventory, socioeconomic data

Data preprocessing

Mapping satellite images using various image analysis and remote sensing techniques

Relating mapped fisheries with socioeconomic data to develop resource allocation recommendations

Model and web app deployment

Presentation and project wrap up

What you'll learn

Collect satellite images and extract relevant features, Prototype an ML model to for site identification Prototype an ML model to devise recommendations on allocating fisheries and resources, Curated project-based resource for computer vision and image processing for impact application

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.