1,235 bytes added
, 19:47, 27 October 2013
== Objectives ==
* Detect potential errors in order to correct them and prevent them
* Do not take into account the products whose information is questionable in the calculations of averages
== Ideas to automatically detect products that contain errors entering information ==
* Sum of components of nutritional table well above 100g
* Sum of ingredients well over 100g (detection and complicated products )
* Confusion between "l" ( lowercase letter L ) and 1 (one) in the list of ingredients because of the OCR, which gives: nom_de_l'ingrédient l5 %
* Sum of " that sugar / starch / etc . " than carbohydrates (and the same for fat etc.).
* Energy over 4000 kJ
* Height from the upper portion to the size of package
* "CO2 Carbon Footprint" greater than 3 000g
* Over 12 additives
* Quantity of "sugars" greater than the amount of "carbohydrate"
* Sum of fatty acids greater than the amount of "lipids"
* etc.
== Note ==
Each track (each rule) must have a unique number associated clearly: Once an accurate method of error detection is translated computer (is implemented), then this method becomes a rule. The automatically assigned number to this rule allows contributors to designate it unambiguously.
[[category:Projects]]