温室作物水分状况智能诊断系统研发  

Intelligent Diagnosis System of Crop Water Status in Greenhouse

作　　者：潘永安[1,2] 范兴科[1,3] 

机构地区：[1]中国科学院水利部水土保持研究所,陕西杨凌712100 [2]中国科学院大学,北京100049 [3]西北农林科技大学中国旱区节水农业研究院,陕西杨凌712100

出　　处：《灌溉排水学报》2014年第1期138-141,共4页Journal of Irrigation and Drainage

基　　金："十二五"863计划课题(2011AA100509)

摘　　要：基于C++Builder(XE2)软件开发平台,构建基本资料、作物资料、作物适宜水分状况专家知识库等数据库,集成当前应用较为成熟的4种温室作物水分诊断方法和模型,开发温室作物水分状况智能诊断系统,通过试验验证表明,该智能诊断系统操作简单、运行良好、结果可靠。Based on C＋ ＋ Builder （XE2） development platform, databases of basic information, crop information and expert knowledge about suitable crop water status were constructed, and the intelligent diagnosis system for crop water status in greenhouse was exploited by integrating 4 different mature water diagnosis methods and models; At the same time, the intelligent diagnosis system was verified according to the test. The results indicated that the intelligent diagnosis system had the advantages of simple operation, running well and reliable results.

关 键 词：温室 水分亏缺 智能诊断 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论] S625[自动化与计算机技术—计算机科学与技术]