摘要
农作物系统本身具有显著的时空变异性,忽略作物成熟日期的差异采取相同的收获日期可能会造成实际收获产量、质量的损失,使用3S技术进行科学合理的农机调度是减少这一损失的重要前提。本文使用获取的遥感数据反演了作物的成熟日期,并在分析了农机时空调度的依据和限制条件的基础上,提出了农机时空调度问题,使用改进的遗传算法构建了农机时空调度模型和算法并使用MATLAB进行了程序实现,最后构建了基于3S技术的农机调度技术框架。
Because the crop system has spatiotemporal variability, it needs to use 3S technology to harvest the crop at proper time in order to reduce the loss. This paper predicted the maturity date of the crop using remote sensing data and inversion model. After the analysis of the basis and the restrictive condition, a problem about how to schedule the agricultural machinery spatiotemporaliy was raised, then improved genetic algorithm was used to solve this problem, the implementation of the algorithm was run in MATLAB. At last, the framework of scheduling agricultural machinery based on 3S technology was constructed.
出处
《测绘科学》
CSCD
北大核心
2013年第2期44-46,共3页
Science of Surveying and Mapping
关键词
3S技术
农机调度
时空模型
遗传算法
3S technology
scheduling of agricultural machinery
spatiotemporal model
genetic algorithm
