摘要
为了对作物进行适时适量的灌溉,节约大量的灌溉水资源,提高农作物的产量和品质,在考虑土壤-作物-大气连续体(SPAC)的基础上,在作物的不同生长阶段设定了不同的最佳土壤湿度;同时通过天气环境参数来预测作物的腾发量;最后根据土壤湿度、作物腾发量以及作物的生长阶段来模糊决策作物的灌水量。结果表明,在考虑土壤、作物和大气的综合作用下,根据多因素对作物灌水量进行模糊智能决策,比根据单一参数预测作物的灌水量,预测结果更准确。
In order to irrigate crops at the right time and appropriate amount, an intelligent irrigation system considering soil plant-atmosphere continuum （SPAC） was studied in this article. First of all, the most appropriate .soil moisture is set at different stage of wheat growth. Then, the evapotranspiration of wheat crop is predicted by meteorologlcal parameters, Finally, the irrigation water is decided by using fuzzy decision theory considering the effects of soil moisture, crop evapotranspiration and growing stage. Result shows that fuzzy intelligent decision for irrigation considering multi-factors is much more reasonable than those considering only one factor.
出处
《中国农村水利水电》
北大核心
2006年第5期17-20,共4页
China Rural Water and Hydropower
基金
国家高技术研究发展计划("863"计划)项目(编号:2004AA2Z4010)
关键词
冬小麦
模糊决策
精量灌溉
土壤湿度
腾发量
winter wheat
fuzzy theory
precision irrigation
soil moisture
evapotranspiration
