在实际体质监测工作中，由于抽样调查技术或疏忽大意导致错误，或人为的编造等原因，会使报上来的数据产生可疑数据。
In practical monitoring, due to sampling error or negligence error or artificial compilation, etc, the reported statistics may contain some dubious data.
分层技术是遥感分层抽样调查与监测方法中的关键技术之一。
Stratification is one of the key techniques in stratified sampling investigation and monitoring using remotely sensed data.
为了减轻麦蚜虫抽样调查的难度，提高调查的效率和准确性，设计了一套基于计算机视觉技术的蚜虫数量自动计数的新方法。
To improve efficiency and accuracy of the current estimation system for cereal aphids, a novel method based on computer vision technology was introduced.
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