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GOOD FOOD PRINT – THE CONCEPT OF AN IT SYSTEM TRACKING THE LEVEL OF GOOD PRACTICES USED IN ORGANIC FOOD PRODUCTION PROCESS AND IN ITS SUPPLY CHAIN
Author(s) -
Tomasz Woźniakowski
Publication year - 2018
Publication title -
acta scientiarum polonorum. oeconomia
Language(s) - English
Resource type - Journals
eISSN - 2450-047X
pISSN - 1644-0757
DOI - 10.22630/aspe.2018.17.2.30
Subject(s) - production (economics) , certification , supply chain , organic production , value (mathematics) , process (computing) , function (biology) , food industry , computer science , manufacturing engineering , biochemical engineering , process engineering , agricultural engineering , business , industrial engineering , organic farming , agriculture , engineering , marketing , economics , food science , microeconomics , ecology , chemistry , operating system , management , machine learning , evolutionary biology , biology
The aim of the paper is to present and pre-test the method being a modification of the composite measure based on calculating the weighted average value of features corresponding to the degree of various good practices in organic farming. The value calculated by the proposed method is a postulated basis for the operation of an IT system which would enable consumers to follow the production, certification and supply chain processes related to organic food products. The system also allows the manufacturers to choose good sub-suppliers more easily and incline them to achieve perfection at every stage of production. In the paper, the function constituting the main element of the system’s algorithm was tested and modified, and the other postulated functions were described.

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