Posts in The Daily Coffee Pro
EP1615 Part 5 of 5 | How AI Helps Farmers Prepare For Climate Volatility (Ciro Gelvez) | Map It Forward

Part 5 of 5: In part five, Lee and Ciro discuss climate forecasting, microclimates, AI, soil analysis, farm resilience, and the role younger generations may play in technology adoption. They explore how farmers can use better data to prepare for weather changes while controlling costs and protecting long-term farm viability.

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EP1614 Part 4 of 5 | Can Technology Help Farmers Price Coffee Better? (Ciro Gelvez | Map It Forward

Part 4 of 5: In part four, Lee and Ciro explore one of the most difficult questions in coffee: how farmers can know what price they need if they do not know their cost of production. They discuss lot-level and activity-level costs, financial literacy, real-time data, the C market, and the possibility of shifting farmers away from being price takers.

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EP1613 Part 3 of 5 | Can Technology Trace Coffee Quality? (Ciro Gelvez) | Map It Forward

Part 3 of 5: In part three, Lee and Ciro discuss traceability, quality, and the limits of technology in a subjective industry. They explore how farm practices, post-harvest processes, logistics, moisture, defects, cup profiles, and blockchain can help or complicate the effort to track quality through the coffee supply chain.

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EP1612 Part 2 of 5 | How Data Visibility Changes Coffee Farming (Ciro Gelvez) | Map It Forward

Part 2 of 5: In part two, Lee and Ciro discuss what happens when farm data becomes visible and usable. They explore flowering, weather, quality, pest and disease pressure, historic records, real-time decisions, and the role AI may play in helping farmers understand correlations that are too complex to manage manually.

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EP1611 Part 1 of 5 | What Data Do Coffee Farmers Actually Need? (Ciro Gelvez) | Map It Forward

Part 1 of 5: In part one of this series, Lee Safar and Ciro Gelvez from WSeeds discuss the data coffee farmers need to collect and manage to understand their farms as businesses. They explore why harvest volume and sale price are not enough, how missing data affects costs, quality, and decision-making, and why technology adoption has to begin with the farmer's daily reality.

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