Protocolized

Explain why farmers override automated irrigation recommendations 60-80% of the time: soil variability, weather pattern shifts, and historical field knowledge that algorithms haven't learned yet — this creates a real gap between what precision systems recommend and what actually gets deployed.

Walk through a specific decision framework where irrigation systems help but don't replace judgment: showing soil moisture data + weather forecasts + crop stage together lets farmers make faster, more informed overrides rather than purely intuitive calls.

Discuss the business case for 'override-ready' system design: systems that make their reasoning transparent and easy to adjust are adopted faster than black-box automation, because farmers trust what they can question and modify in real-time.