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Optimal Sampling Schemes for Monitoring Large-area Crop Rotation

文献类型: 外文期刊

作者: Sun, Ling 1 ; Zhu, Zesheng 1 ;

作者机构: 1.JiangSu Acad Agr Sci, Nanjing 210014, Jiangsu, Peoples R China

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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