CGIAR Crop Yield Prediction Challenge
$3,000 USD
Can you predict maize yields on East African farms using satellite data?
281 data scientists enrolled, 63 on the leaderboard
AgriculturePredictionComputer VisionUnstructuredImageSatelliteSDG2
Kenya
21 October—7 February 2021
Ends in 2 months

Crop yield data is arguably the most important measure of agricultural productivity and production, and is used to monitor global and national food security, and to help determine effective agricultural policy.

Due to the physical challenges and high costs associated with the collection of crop-cut yield estimates, few datasets exist and even fewer are regularly sampled every season. For this reason, developing new methods to estimate crop yields at scale using the limited data available has been a prominent research priority.

One of the most promising yield estimation methods has been to use available crop-cut datasets to calibrate mathematical models to estimate crop yields from satellite imagery.

The aim of this challenge is to create a model capable of estimating the crop-cut maize yield for fields in East Africa. Given a time-series of Sentinel 2 imagery and climate variables, your model must output a predicted yield in tons per acre.

These models often need to be applied at scale, so large ensembles are discouraged. To incentivise more lightweight solutions, we are adding an additional submission criteria: your submission should take a reasonable time to train and run inference. Specifically, we should be able to re-create your submission on a single-GPU machine (eg Nvidia P100) with less than 8 hours training and two hours inference.

About CGIAR (cgiar.org):

The CGIAR (formerly the Consultative Group for International Agricultural Research) is a consortium of international agricultural research centers scattered across the world who focus on issues related to agricultural productivity, food security, poverty, and the environment. The CGIAR is made up of 15 research centers and operates in dozens of countries across Asia, Africa, and Latin America.

About The Platform for Big Data in Agriculture (bigdata.cgiar.org)

The CGIAR Platform for Big Data in Agriculture is a cross-center platform of the CGIAR with the goal of leveraging and harnessing the power of big data to accelerate and enhance the impact of international agricultural research. This 5-year platform (2017 - 2021) will provide global leadership in organizing open data, convening partners to develop innovative ideas, and demonstrating the power of big data analytics through inspiring projects. It is where information becomes power: power to predict, prescribe, and produce more food, more sustainably. It democratizes decades of agricultural data empowering analysts, statisticians, programmers and more to mine information for trends and quirks, and develop rapid, accurate and compelling recommendations for farmers, researchers and policymakers.

About The Big Data in Agriculture Convention (bigdata.cgiar.org/virtual-convention-2020)

This year’s Convention will be held online from 19 - 23 October, with the theme of digital dynamism for adaptive food systems.

This convention is the third annual event to bring together the people and organizations that make the Big Data Platform successful, a mix of scientists, policy makers, entrepreneurs, technologists, and agriculturalists. Three days of focused, action-based discussion to find commonalities across research institutes, governments, and private organizations sets the stage for a productive and data-driven year ahead!

About The Alliance of Bioversity and the International Center for Tropical Agriculture (CIAT) (bioversityinternational.org/alliance)

CIAT (International Center for Tropical Agriculture) works in collaboration with hundreds of partners to help developing countries make farming more competitive, profitable, and resilient through smarter, more sustainable natural resource management. We help policymakers, scientists, and farmers respond to some of the most pressing challenges of our time, including food insecurity and malnutrition, climate change, and environmental degradation.

About The International Food Policy Research Institute (IFPRI) (ifpri.org)

The International Food Policy Research Institute (IFPRI) provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries. Established in 1975, IFPRI currently has more than 600 employees working in over 50 countries. It is a research center of CGIAR, a worldwide partnership engaged in agricultural research for development.

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