1999 Volume 61 Issue 3 Pages 65-71
The objective of this study is a non-destructive growth measurement of the plug seedlings population using their image information. In this report, a neural network model for the non-destructive measurement of the leaf area and top fresh weight of the cabbage plug seedlings population was developed. The inputs to the neural network were the relative soil coverage and standard deviation of lightness.
The predicted leaf area and top fresh weight of test plug seedlings population based on the neural network model were fitted well with the measured values. Their coefficients of determination R2 were 0.95 and 0.94, respectively. The neural network model give much better result than the soil coverage models reported in the previous report.
