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Apply Now: $17,000 Agriculture Satellite Data Machine Learning Challenge

By Wayan Vota on August 9, 2021

The agricultural sector makes a substantial contribution to GDP and livelihoods across the developing world. However, regular and reliable agricultural data remains difficult and expensive to collect on the ground. As a result, policy-makers usually don’t have access to updated data for implementing policies or supporting farmers.

Register Now for $4 Billion in USAID Opportunities

Earth observation satellites provide a wealth of time-series multispectral image data that can be used for developing agricultural monitoring tools. These machine learning solutions support farmers and policy-makers across Africa and the developing world.

$17,000 AgriTech Machine Learning Challenge

The Radiant Earth Spot the Crop Challenge is for you to use time-series of Sentinel-1 and Sentinel-2 multi-spectral data to classify crops in the Western Cape of South Africa. The machine learning model needs to predict crop type classes for the test dataset using training data generated from ground reference data.

This competition is organised into two parallel tracks:

  • One data set: Using time-series of Sentinel-2 multi-spectral data
  • Both data sets: Using time-series of both Sentinel-2 and Sentinel-1 (synthetic aperture radar) data.

Winners will release their top solutions under an open source license for ongoing use and learning to be eligible for cash prizes. The winners’ solutions will be shared in a well-organized code repository with proper documentation, and added to the Radiant MLHub model repository.

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Written by
Wayan Vota co-founded ICTworks and is the Digital Health Director at IntraHealth International. He also co-founded Technology Salon, MERL Tech, ICTforAg, ICT4Djobs, ICT4Drinks, JadedAid, Kurante, OLPC News and a few other things. Opinions expressed here are his own and do not reflect the position of IntraHealth International or other ICTWorks sponsors.
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5 Comments to “Apply Now: $17,000 Agriculture Satellite Data Machine Learning Challenge”

  1. OKOROJI ONWUSURUAKA says:

    I need clear information on how to secure the grant.

  2. Naomi Agwaza says:

    How can I apply for the learning please

  3. Please advice me on how to secure grants for my organisation.

  4. I started receiving ICT call for ICT dígital proposals for over 3 year, I’m yet to understand the procedure of the application, especially digital agriculture information for farmers production, digital monitoring, extension services and education as well as projects application form and cretaria of application.

  5. OKOROJI ONWUSURUAKA says:

    The issue “digital” in Farming confuses me most. Only what I know is cultivate the soil, plant cassava, process the crop,then send the result to the market. I’m not yet computer literate to comment on digital farming.
    I need financial assistance but I don’t know how to access the form for such application. I need financial help. Thanks.