Crop Pest Management Using AI in Somalia
This Omdena Local Chapter Challenge runs for 5 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 Somalia Chapter.
The problem
The agriculture sector in Somalia faces a convergence of challenges, including recurrent droughts, civil conflicts, and limited infrastructure. The periodic flooding of the Juba and Shabelle rivers compounds these problems, leading to extensive damage to farmlands and susceptibility of crops to pests and pathogens.
In recent times, Somalia faced significant agricultural losses due to crop pests, particularly the desert locust invasion. Conventional pest management techniques have proven insufficient to combat the heightened infestation risks brought about by flooding.
As a result, there is an urgent need to implement innovative and sustainable integrated pest management solutions that can protect crops and enhance agricultural resilience in the face of such challenges.
The goals
As a solution to the stated problem, a concept is proposed aiming to address the challenges faced by the agricultural sector and revolutionize pest management practices to safeguard agricultural productivity.
The project will try to address these specific objectives:
- Develop an AI-powered crop pest management system tailored to Somalia’s specific challenges.
- To employ cutting-edge technologies like computer vision, remote sensing and deep learning techniques to improve pest detection, real-time monitoring and surveillance, and precision pest control strategies.
- To provide data-driven decision-making support to farmers and policymakers by integrating data analytics and machine learning.
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.
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
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