Do you have experience with Artificial Intelligence or Earth Observation? Are you interested in tackling one of the largest challenges humanity must face this decade and win some exciting prizes whilst doing so? Then join our #AI4FoodSecurity Challenge!
Agriculture is a key sector, crucial for economic growth and the health of the population in every country. It is also at the heart of the global climate change discussion. The sector is accountable for 25% of GHG emissions and 70% of water use globally, whilst also being subject to paramount climate-related risks. Climate change poses a massive threat to food security, threatening to cut crop yields in the world’s most food-insecure regions. Accurate and reliable agricultural data is therefore essential to ensure food security and the subsistence of the World’s population, which is estimated to reach 9.75 billion by 2050.
Join the #AI4FoodSecurity Challenge running from October 4th until December 19th 2021.
Against this background, we are looking for motivated and curious participants from across the world to find the best machine learning/AI solutions for crop identification. Challenge contestants will have access to Planet Fusion data and Sentinel-1 and -2 data. Planet Fusion, is Planet’s game-changing fused dataset, combining data from PlanetScope, Sentinel, Landsat, and MODIS into an uninterrupted stream of 3-m daily data, free of gaps and clouds. Fusion data is radiometrically aligned to Sentinel and ideal for time-series analysis, machine learning pipelines, and other applications that demand clean, consistent data. This challenge provides an unprecedented opportunity to experiment with this exceptional dataset and test its complementarity to Sentinel data.
The #AI4FoodSecurity challenge is launched under the European Space Agency’s (ESA) AI4EO initiative and organised by Planet and its partners TU Munich, the Deutsche Zentrum für Luft und Raumfahrt (DLR), and Radiant Earth. The challenge will run from October 4th until December 19th 2021.
If you’re interested in participating, or have signed up and have some questions, join our webinar on Tuesday, October 19th at 17:00 CEST. The webinar will introduce the challenge and the Planet Fusion data. You will also have a chance to ask questions and meet other participants. Sign up to attend!