A Dynamic Knowledge Model for Design of Suitable Sowing Date and Sowing Rate of Winter Wheat
Cao Wei · Zhongguo nongye Kexue · 2003
Based on the summarization, induction, and extraction of dynamic relationships of winter wheat growth characteristics to ecological environments and production conditions, a winter wheat knowledge model, which can be used for decision making of suitable sowing date, population density and sowing rate of different varieties under different spatial and temporal environments, was developed through knowledge engineering and system analysis method. Case studies on the sowing date design model with the data sets of five different eco sites, three climatic years and soil fertility levels, and on the population density and sowing rate design model with the data sets of two different variety types, three different soil types, soil fertility levels, sowing dates and yield levels show a good performance of the model system in decision making, explanation and wide applicability.