Projects / Local Chapter Challenge

Mapping of Agroforestry Systems Based on Artificial Intelligence

Challenge Completed!


Omdena Featured image

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by the Omdena GIBDET, Colombia Chapter.

The problem

Agroforestry Systems (AS) are widely known for their contribution to the generation of environmental goods and services, such as small plots to hydrographic basins. From an ecological point of view, the use of trees can contribute to improving the productivity and sustainability of existing systems through an increase in the yield of pastures and associated crops, as well as the increase in animals that eat fruits or foliage and from the sale of wood or carbon stored by trees. From the economic point of view, the Agroforestry System can favour the increase and diversification of production. However, the contribution of this land use in the structure and composition of agricultural landscapes on a national scale has been little valued, since it is known that 4 million hectares are suitable for agroforestry land use, but only 216 thousand hectares are occupied. for this land use, which denotes a low adoption of these systems, which leads to a need for innovation with emerging technologies, as well as the need to carry out large-scale studies that allow identifying and predicting the distribution of agroforestry promoting this use. sustainable development of the soil at both local and regional planning scales.

The goals

  • Automated mapping of the location of Agroforestry Systems.
  • Generation of an analysis of satellite images to facilitate the implementation of Agroforestry Systems.
  • Develop algorithms with an emphasis on their ease of implementation.
  • Lower access barriers to artificial intelligence (AI) tools in the forestry field.
  • Allow government agencies, researchers, and other stakeholders to apply it to their own use cases.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



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
media card
Eradicating Malaria with Ethnopharmacology and Artificial Intelligence
media card
AI-Driven Temperature Analysis for Educational Environments in Tanzania
media card
Detecting Fault Location within Power Distribution Systems in Iraq using AI

Become an Omdena Collaborator

media card
Visit the Omdena Collaborator Dashboard Learn More