Leaf area measuring instrument to determine the difference between lilac and measured values
Randomly take 5 normal leaves with different sizes and 150 different sizes. The sprayed leaves were sprayed with a little water and kept in a shaded place to prevent dehydration and deformation of the leaves. Before the measurement, the sample leaves are numbered separately, and their length and width (the widest point) are measured. Then, the leaves are traced on a thin and even paper, cut, and weighed. Using the leaf area measuring instrument method to measure the leaf area of ​​the 5 test points for the sample, there are both positive and negative deviations, but the deviation is small. The test shows that at the 5% level, there is no significant difference between the theoretical value and the measured value and the estimated value of various estimation methods.
Although the length and width of Lilac leaves are different, there is only one variable introduced in each of the four equations, but the variation of each is always different, and the variation of the other variable cannot be considered. When the four equations estimated the leaf area of ​​lilac, compared with other traditional methods, the deviation was larger than the constant method. The leaf area meter is currently a precision instrument with good accuracy.
The leaf area measuring instrument can obtain extremely accurate results for the determination of the leaf area. In particular, the computational process of this method is simple and simple. At the same time, the two variables, leaf length and width, are introduced, which is theoretically more reasonable. For this reason, users are advised to use the constant method to estimate the leaf area of ​​lilac. Both the leaf area meter method and the multiplicative constant method can be used to approximate the leaf area of ​​lilacs within the allowable error. The reason is that the length of the leaves is highly related to the width of the leaves, and the two show similar variations. Therefore, estimating the leaf area with any one variable is not biased.
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