Data for: An automatic smart measurement system with signal decomposition to partition dual-source CO2 flux from maize silage

Published: 7 September 2019| Version 1 | DOI: 10.17632/8p47cj89vh.1
Yurui Sun


Using a self-developed automatic sensor system with novel signal decomposition, we successfully partitioned CO2 flux into two independent streams derived from the two distinct pools in maize silage, following two independent processes: a physical venting of stored gas through a tortuous diffusive pathway, and a biochemical process generating gas in real time. Three silage samples, treated with a chemical or a biological additive, or left untreated, were tested. The signal decomposition found two best-fit functions (0.8034 ≤ R2 ≤ 0.9036), a quadratic CO2 discharge function and an exponential CO2 production function, for characterizing these distinct processes.



Signal Processing, Signal Interpolation, Signal Detection