Optimal Sampling Schemes for Monitoring Large-Area Crop Rotation

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Abstract:

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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3740-3743

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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