作者: David A. Caron , Beth A. Stauffer , Amit Dhariwal , Gaurav S. Sukhatme , Carl Oberg
DOI:
关键词: Process (engineering) 、 Engineering 、 Exploit 、 Wireless sensor network 、 Fidelity 、 Embedded system 、 Artificial intelligence 、 Sampling (statistics) 、 Robot 、 Distributed computing 、 Temporal resolution 、 Robotics
摘要: Developing predictive models for aquatic microbial populations requires very fine spatial and temporal resolution of data that traditional monitoring techniques are typically incapable providing. The need continuous presence in an environment combined with the desire directed (intelligent) sampling has prompted development a sensor network to address these needs. incorporates low-energy demand, highly adaptable sensors which exploit recent advances computer networking robotics process ensure high fidelity. coordination stationary nodes mobile sensing using robot allow efficient collection samples from features interest, exemplified studies cyanobacterial bloom Lake Fulmor, California.