AI for Agriculture and Global Food Security with Nemo Semret - #347
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Unlocking Agricultural Data Insights
This chapter explores the diverse data sources essential for addressing agricultural challenges, focusing on the role of satellite data and economic indicators. It highlights the complexities of data collection, the need for advanced analytical techniques, and the implementation of a structured knowledge graph to enhance data accessibility and predictive capabilities.
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