Projects / AI Innovation Challenge

AI for Optimizing Crop Farming through Sustainable Practices in Africa

Challenge Completed!


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Join a global team of 50 AI changemakers in this high-impact 2-month challenge to optimize crop farming with sustainable practices.

This challenge requires experience in Data Analysis and Machine Learning.

The problem

In Sub-Saharan Africa, more than 65% of food produced is from smallholders, but issues such as over-dependence on chemical input are not good for the soil, environment, and food. Soil microbes diminish by continuous use of these chemicals, reduction in biodiversity, and in the long term, the land productivity depreciates such that a higher amount of the chemicals is required to maintain the yield. Small scale farmers do not derive full benefit from their farmlands, as the chemical inputs account for more than 50% of the farm operating cost. These farmers are among the poorest in the society and prices of food keep increasing.  

The project goals

The goal is to apply several data analyses and potentially AI-related methodologies to find answers to the following questions: 

  • How to provide ready to apply agro-information for crop farmers (in local language) and farm managers via a dashboard to help them make maximum use of their farmlands.
  • How to reduce overhead costs, get better yields, and effectively manage a unique bee-centered cropping system.
  • What crops to plant (based on local data from the farms), when to plant, where to plant, when to harvest honey, the quantity of water required to grow the crops, and soil nutrients requirement.
First Omdena Project?

Join the Omdena community to make a real-world impact and develop your career

Build a global network and get mentoring support

Earn money through paid gigs and access many more opportunities



Your Benefits

Address a significant real-world problem with your skills

Get hired at top companies by building your Omdena project portfolio (via certificates, references, etc.)

Access paid projects, speaking gigs, and writing opportunities



Requirements

Good English

A very good grasp in computer science and/or mathematics

Student, (aspiring) data scientist, (senior) ML engineer, data engineer, or domain expert (no need for AI expertise)

Programming experience with Python

Understanding of Deep Learning, Data Analysis and Machine Learning



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