  The framework of the seventeen sustainable development goals is a challenge
for developers and researchers applying artificial intelligence (AI). AI and
earth observations (EO) can provide reliable and disaggregated data for better
monitoring of the sustainable development goals (SDGs). In this paper, we
present an overview of SDG targets, which can be effectively measured with AI
tools. We identify indicators with the most significant contribution from the
AI and EO and describe an application of state-of-the-art machine learning
models to one of the indicators. We describe an application of U-net with SE
blocks for efficient segmentation of satellite imagery for crop detection.
Finally, we demonstrate how AI can be more effectively applied in solutions
directly contributing towards specific SDGs and propose further research on an
AI-based evaluative infrastructure for SDGs.
