摘要
为了便于棉花冠层数字图像的处理并用于了解棉田的当前信息和进行产量预测,建立了棉花冠层图像诊断专家系统,开发了基于编程语言Power Builder 9.0的数据分析和管理软件模块,实现了棉花冠层图片的采集、处理和传输。该系统能够有效地实现对棉花生长状态的监控,及时对生产进行指导。诊断专家系统涉及的供试品种为新陆早6号、8号、10号、12号和13号,分别从不同密度、不同灌水量和不同施肥量三个方面进行研究和讨论,对进一步在图像处理技术支持下的精准农业的实施具有重要意义。
In order to analyse the digital image of cotton canopy and find out the current information of cotton field to forecast the yeild, the image analysis of expert system of cotton canopy was set up. The software module for data analysis and management was developed based on the PowerBuilder 9.0 language and the acquisition, disposal and transmission of cotton canopy was realized. The system can realize the supervisory eantrol of eatton growth and guide the productional practice in time. The varieties involve in the expert system is the extend breed Xinhmao6, XinluzaoS, Xinluzaol0, Xinluzaol2 and Xinluzao13 in the North Xinjiang cotton growing region. And the study was preceeded from three aspects, i.e. the differences of cotton canopy structural characteristics in different density, different nitrogen and different irrigation condition. This is of important significance to the further enforcement of precise agriculture by image process technology.
出处
《新疆农业科学》
CAS
CSCD
2008年第3期375-380,共6页
Xinjiang Agricultural Sciences
基金
国家自然科学基金项目(30160040)
石河子大学青年骨干教师“263”计划项目
关键词
棉花冠层
图像诊断
专家系统
cotton canopy
image analysis
expect system