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That is only single point calibration. You want more than that in case the transfer function is non-linear. Ideally at least two for the extremes of range.
Basically imagine if y does not equal x, say y = x -0.01*x + b. Your tare is going to adjust b such that at x = 0 you get y equals 0. That doesn’t fix x is equal to 900. At 900 you would get 891.
Generally speaking for weight you have differential or integral non-linearity. You fix both by multiple calibration points. Which leads to the range transition problem but whatever. No excuse anymore with FPGAs.
I am half tempted to buy a pasta making machine. The more and more food I make myself the angrier I get at the food production world.
A dumbass like me shouldn’t be able to make better tasting products for lower cost than food factories.