In this article,a model of a weed control threshold forecast system has been established,with related model solving,data checking,database setting up,and system engineering illustration. Moreover,it is tested by a software with data from a sugar cane planting experimental field in Yunnan,China. The methodology behind the detailed system analysis,design,and engineering has been discussed. The issue of how to create a dynamic data-dependent forecast model of a threshold forecast system,whose threshold changes according to the change of planting environment has been solved. Hence an effective solution has been initiated for further development on an agricultural expert system.

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