Quantization method of light space distribution of crop population

Abstract

The invention relates to a quantization method of the light space distribution of a crop population. The quantization method comprises the steps of: (1) selecting a tested crop population by utilizing a space lattice sampling method, uniformly distributing test points in a longitudinally tested section region of a canopy of the tested crop population, and testing PAR (photosynthetically active radiation) values of each test point by utilizing a PAR test instrument, wherein the tested PAR values of each test point include a transmission PAR value and a reflection PAR value; (2) solving the PAR values of other to-be-tested points in the longitudinally tested section region by utilizing a kriging interpolation method according to the tested PAR values of each test point obtained in the step (1); (3) establishing a coordinate system in the longitudinally tested section region, carrying out numbering on the test points and to-be-tested points in the longitudinally tested section region so as to generate Grid files; (4) after acquiring interpolation Grid files of the transmission and reflection, solving the light interception rate corresponding to each element in the Grid files by utilizing a matrix manipulation method; (5) obtaining the whole light use efficiency of the population based on the solved light interception rates of the test points and to-be-tested points in the longitudinally tested section region.

Description

technical field [0001] The invention relates to the field of agricultural planting, in particular to a method for quantifying the spatial distribution of light energy of crop groups. Background technique [0002] Since the quantification of the spatial distribution of light energy in crop populations is an old scientific and technical problem that has not been effectively resolved, how to quantify the light distribution in the canopy, improve the light-receiving ability of the crop canopy, and create a reasonable population structure has become a major issue in crop production and ecology. An important field of systems research. Monsi and Saeki (1953) first applied the Beer-Lambert law of light propagation in a randomly distributed medium to the study of light transmission in the plant canopy, assuming that the leaves in the canopy were randomly distributed, divided into many layers according to the height layer, and measured each Leaf area and light intensity in the layer,...

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Problems solved by technology

[0004] The above measurement and quantification methods have made great progress in the light transmission and distribution in the canopy, which laid a theoretical foundation for the accurate simulation and quantification of canopy photosynthetic productivity, and has been widely used; however, the previous canopy light distribution Most of the models are one-dimensional or two-dimensional, and are usually applied to crop populations that assume horizontal homogeneity, which is contrary to the high spatial heterogeneity of the actual crop plant structure, and cannot accurately describe the spatial distribution characteristics, and thus cannot accurately quantify the crop population The distribution of light energy at any point in space often leads to large deviations or wrong conclusions, which have a wrong impact on the evaluation of crop variety characteristics, vegetation ecological environment, and crop growth.

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