AI for Agriculture and Global Food Security with Nemo Semret - #347
Published:Feb 10, 2020 20:29
•1 min read
•Practical AI
Analysis
This article from Practical AI highlights the application of AI in agriculture, specifically focusing on Gro Intelligence and its CTO, Nemo Semret. The core of the discussion revolves around how Gro utilizes AI and machine learning to address global food security challenges. The article promises insights into Gro's data acquisition methods, the application of machine learning to various agricultural problems, and their modeling approach. The focus is on macro-scale application of AI, suggesting a broad, data-driven approach to understanding and improving food production and distribution globally. The article sets the stage for a discussion on how AI can contribute to solving critical issues related to food security.
Key Takeaways
Reference
“In our conversation with Nemo, we discuss Gro’s approach to data acquisition, how they apply machine learning to various problems, and their approach to modeling.”