Is smallholder data collection practical without tiring the farmers?

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Recently I have been discussing smallholder data collection without overloading farmers with several coffee people and nobody gives the same answer. Some treat it as small detail, some say it changes the whole workflow. I am not looking for textbook reply. I want to know whether smallholder data collection without overloading farmers gives meaningful difference once you repeat it over many cycles.

Would you keep smallholder data collection without overloading farmers in your normal process, or only for specific coffees and situations?

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From my side this helped only on certain coffees, not on every lot. When the coffee is already forgiving, smallholder data collection without overloading farmers does not change much. On difficult lots the effect is clearer.

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I disagree a little with people who say smallholder data collection without overloading farmers is only a small detail. Small detail alone maybe yes, but several small details together can move the cup a lot.

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What helped me most was keeping short notes each time. Without notes, discussion about smallholder data collection without overloading farmers becomes memory battle and not real evaluation.

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For smallholder data collection without overloading farmers, I only trust conclusion after I see same pattern several times. One successful run can be accident. Repetition is what make the lesson useful.

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I think the bigger issue is not smallholder data collection without overloading farmers itself but whether your baseline is stable. If baseline keeps moving, then every experiment around it gives mixed signal.

Is smallholder data collection practical without tiring the farmers?

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