AI untuk generate roast profile otomatis, kalian percaya hasilnya? | Trends & Innovation Forum | Clorofile
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AI untuk generate roast profile otomatis, kalian percaya hasilnya?

A
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there's been a development in some of the software roasting that has now given us a feature of some sort of alYour input original, process, target Zroast level, keep the love software recommended profile based on the historic batch data of the community

I've tried a few times and it's a pretty good starting point, but it's not so great that it builds its own profile from scratch-on.

The question is: do you believe and wear this kind of tool? And is this the threat to "craft" element at roasting or is it the liberation of the trial and error that waste seeds?
6 Replies
D
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tool data- driven I wear it all day and quite helpful in phase data collection and visualization. In case of profile suggestion that AI-generation: good as baseline, but still there must be roaster behind which understands what the data means. AI recommends parameters, but can't replace sensory experience on drums when batch is running.
D
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what I haven't seen solved is how AI accounts for real-time unforeseen batch conditions, for example a lot of those ZZCF003Zs are higher than spec, or ambient temperatures are suddenly dropping significantly at the center of roast. roaster experienced adjust on the fly. AI suggestion is still mostly static.
H
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underlying Weakness from Al profile generation: it's learned from the systematic data that may be inconstant or from machines with charactertics different from your machine. The learning transfer between the tups wasn't perfect. The model can be very confident but contextual off for your specific setup.
R
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democratisasi roasting yang bagus. tidak semua orang bisa magang tahunan di roastery besar untuk dapat "feel" yang expert. kalau AI bisa compress that knowledge jadi accessible starting point, itu extend the reach of quality ke roaster yang tidak punya luxury of extensive mentorship.
U
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it's not exactly an automation because it's not about the process itself, it's about the judgment behind the process. If AI can handle repetitive optimization, roaster can focus on more creative areas: experiment with new approxy, development signature profiles, unorthodox lots.
O
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Iot connectivity to that machine is more game- changing than AI profile. Remote monitoring capabilities, alert when parameters exit target range, automatic data logging without input manual, it's already real-world benefit that direct reduction human error without eliminating Zroaster from equation.

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