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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