With a population of 1.4 billion in China and a huge daily output of kitchen waste,intelligent treatment of kitchen waste is imperative.This article elaborates on the design and implementation of an intelligent monito...With a population of 1.4 billion in China and a huge daily output of kitchen waste,intelligent treatment of kitchen waste is imperative.This article elaborates on the design and implementation of an intelligent monitoring and early warning system from five aspects:system architecture design,hardware equipment selection and configuration,data collection and processing flow,early warning algorithm and model development,and system integration and testing verification.It also points out the advantages of the intelligent monitoring and early warning system in kitchen waste treatment.展开更多
柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计...柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计396条序列。比较了5个DNA片段的通用性、序列特征、种内和种间变异,并基于Best Match(BM)、Best Close Match(BCM)、BLAST及Neighbor Joining(NJ)4种方法评估DNA条形码在柳树中的鉴定能力。结果表明,5个DNA条形码中,ITS在柳树种扩增效率和测序成功率高,种内和种间遗传变异明显,鉴定效率最高,建议作为首选的单位点DNA条形码;3个条形码组合中,ITS+ITS2+rbcL鉴定成功率最高,为78.16%,4个DNA条形码组合中,ITS+ITS2+matK+rbcL物种鉴别成功率最高,为88.28%,建议ITS+ITS2+matK+rbcL作为柳树分子鉴定最优条形码组合。展开更多
文摘With a population of 1.4 billion in China and a huge daily output of kitchen waste,intelligent treatment of kitchen waste is imperative.This article elaborates on the design and implementation of an intelligent monitoring and early warning system from five aspects:system architecture design,hardware equipment selection and configuration,data collection and processing flow,early warning algorithm and model development,and system integration and testing verification.It also points out the advantages of the intelligent monitoring and early warning system in kitchen waste treatment.
文摘柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计396条序列。比较了5个DNA片段的通用性、序列特征、种内和种间变异,并基于Best Match(BM)、Best Close Match(BCM)、BLAST及Neighbor Joining(NJ)4种方法评估DNA条形码在柳树中的鉴定能力。结果表明,5个DNA条形码中,ITS在柳树种扩增效率和测序成功率高,种内和种间遗传变异明显,鉴定效率最高,建议作为首选的单位点DNA条形码;3个条形码组合中,ITS+ITS2+rbcL鉴定成功率最高,为78.16%,4个DNA条形码组合中,ITS+ITS2+matK+rbcL物种鉴别成功率最高,为88.28%,建议ITS+ITS2+matK+rbcL作为柳树分子鉴定最优条形码组合。