บทคัดย่องานวิจัย

หมวดหมู่ : ฐานข้อมูลงานวิจัย

Spline smoothing in the analysis of fruits and vegetables respiration data.

Toupin, C.J., Doyon, G. and Verret, P.

Transactions of the ASAE. Volume 34, Number 1, Jan/Feb 1991. Pages 221-224.

1991

บทคัดย่อ

Spline smoothing in the analysis of fruits and vegetables respiration data.

The proposed method is based on the use of spline functions to estimate respiration rates in the analysis of fruits and vegetables respiration data. A constrained optimization algorithm, based on a unique convergence criterion, is employed to simultaneously select the most efficient degree of smoothing for fitting O2, CO2, and N2 concentrations vs. time curves from which the desired derivative quantities can be readily obtained. This nonparametric method ensures that the respiration rates evaluated from the smoothed curves are unbiased estimates, since it does not impose rigid empirical models to the raw data sets. Monte-Carlo simulations and real data analyses are presented.