Developing an Intelligent Information Technology in Bioconversion of Agricultural Residue to Reducing Sugars

Abstract

Intelligent information system, based on mathematically modeling, data processing and experimental research, can help reduce the operating cost owing to fast reaction and effective control, and help disadvantaged users understand all useful information, which result in more profits and less loss. Framework of information processing, definitions of the concepts, regression equations, and economic evaluation of Intelligent Information System were discussed. Factors, including users' ability to understand, improvement of mathematical models, evaluation of production cost, and adaptation to changing environment, affect the efficiency of the intelligent information system. The experimental results obtained during pilot-scale fermentation suggested that intelligent information system benefited the bioconversion of agricultural residues to reducing sugars.