The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) AI for Agriculture and Global Food Security with Nemo Semret - #347
Feb 10, 2020
Nemo Semret, CTO of Gro Intelligence, shares his expertise on using AI to tackle global food security challenges. He highlights the importance of data-driven strategies in agriculture, particularly in addressing issues like climate change and locust outbreaks. The discussion delves into precision agriculture's impact on land use and crop selection, and the role of advanced machine learning in yield predictions. Nemo also addresses the complexities of agricultural data management, including automation and the challenges of maintaining data quality.
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Data-Driven Decisions in Agriculture
- Gro Intelligence helps people make better decisions in food and agriculture.
- Data-driven decisions are crucial in this large, rapidly changing industry.
Locust Swarm Example
- The recent locust swarm in Eastern Africa, impacting food supply and prices, exemplifies Gro's work.
- They help users analyze such events and make informed decisions.
Macro-Level Agricultural Decisions
- Gro Intelligence focuses on macro-level agricultural decisions, unlike precision agriculture.
- They help users determine land use, crop suitability, and global production trends.