文献类型： 外文期刊
第一作者： Sun, Ling
作者： Sun, Ling
作者机构：
关键词： Optimal sampling;Monitoring Large-area crop rotation;Integer programming
期刊名称：APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY
ISSN： 1660-9336
年卷期： 2014 年 513-517 卷
页码：
收录情况： SCI
摘要： The aim of this study was to investigate the use of the least squares regression and integer programming as a method of defining optimal sampling area for monitoring large-area crop rotation period. It was found that using this method significantly decreased the cost for monitoring large-area rice-cotton rotation by 84% and increased only the monitoring error by 4%. This new method demonstrated potential for general applicability to monitoring other large-area crops.
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