基于移动Agent技术的粮食作物产量预测模型研究

Realization and Research of Foodstuff Yield Prediction Model Based on Mobile Agent

在研究作物生产条件与产量关系的基础上,运用3个层次推理的有机组合提取了粮食作物产量预测模型,充分发挥移动Agent技术的优势,基于Aglet研究了产量预测模型的实现方法,有效地解决了农业数据、农业专家知识或农业资源分布问题。该模型具有准确高效的特点。

Foodstuff yield prediction is a keystone in constructing Agricultural Intelligent System. Based on the relationship between crop growing conditions and yield, a prediction knowledge model was produced by combining three levels of reasoning. Advantages of Mobile Agent was taken. Realizing method of yield prediction based on Aglet was investigated by exerting predominance of Mobile Agent. This model is of great accuracy and efficiency. It will benefit the solution of problems of agricultural data and expert knowledge and distribution of agricultural resources.