A Knowledge Model- and Growth Model-Based Decision Support System for Wheat Management
ZHU Yan, CAO Wei-xing, WANG Qi-meng, TIAN Yong-chao, PAN Jie (Hi-Tech Key Laboratory of Information Agriculture, Jiangsu Province/Nanjing Agricultural University, Nanjing 210095)
By applying thesystematic analysis principle and mathematical modeling technique to knowledge expression system for crop cultural management, the fundamental relationships and quantitative algorithms of wheat growth and management indices to variety types, ecological environments and production levels were analysed and extracted, and a dynamic knowledge model with temporal and spatial characters for wheat management (WheatKnow) was developed. Based on the utilization of the soft component characteristics as non language relevance, re-utilization and portable system maintenance, and by further integrating the wheat growth simulation model (WheatGrow) and intelligent system for wheat management, a comprehensive and digital knowledge model-, growth model- and component-based decision support system forwheat management (MBDSSWM) was established on theplatforms of VisualC++ and Visual Basic. The MBDSSWM realized the effective integration and coupling of the prediction and decision-making functions.