Research on multi-sensor data fusion algorithm of soil carbon sink factors based on neural network
Qiulan Wu, Xia Geng, Yong Qi Liang, Xu Hongli · 2013
Accurate acquisition of farmland soil carbon sink factors is the key to realize estimation of soil carbon sink, and development of wireless sensor technology provides an important mean to promotion of measurement accuracy of carbon sink factors. Based on wireless communication protocol, this paper combines cluster-based hierarchical structure with the hierarchical structure of neural network, designs a neural network data fusion algorithm based on cluster-based routing protocol, and uses it in acquisition system of farmland soil carbon sink factors. It is indicated by the results that this algorithm can enhance measurement accuracy of carbon sink factors, reduce data transmission quantity effectively, and decrease energy consumption of the network, thus extend the service life of the network.