Scanning electron microscope-energy dispersive X-ray spectroscopy (SEM-EDX) detection method for distribution characteristics of nitrogen, phosphorus and potassium in crop leaf

Abstract

The invention discloses a scanning electron microscope-energy dispersive X-ray spectroscopy (SEM-EDX) detection method for distribution characteristics of nitrogen, phosphorus and potassium in a crop leaf. The SEM-EDX detection method adopts a way of combining SEM with EDX to carry out surface scanning on a leaf cross section and line scanning of the thickness direction to obtain an energy spectrum diagram of nitrogen, phosphorus and potassium in the crop leaf, and then analyzing the energy spectrum diagram to obtain space distribution characteristics of nitrogen, phosphorus and potassium in a mesophyll tissue. Nitrogen, phosphorus and potassium are distributed in the whole leaf cross section, the distribution characteristics of nitrogen and phosphorus are similar, the distribution densities of nitrogen and phosphorus along the periphery of a cell wall contour are obviously higher than the distribution densities of other parts; potassium is distributed relatively uniformly in the whole leaf cross section. The SEM-EDX detection method disclosed by the invention solves the problem that the space distribution characteristics of nitrogen, phosphorus and potassium in the leaf cannot be determined, and can be applied to the microscopic detection of crop nutrients.

Description

technical field [0001] The invention relates to a crop microscale nutrient detection method, in particular to a SEM-EDX detection method for the distribution characteristics of nitrogen, phosphorus and potassium inside crop leaves. Background technique [0002] Accurate and rapid detection of crop nutrient information is the basis for realizing precise nutrient management and reducing environmental pollution, so it has been a research hotspot in the field of agricultural engineering in recent years. [0003] The existing nutrient detection methods mainly include: image method, spectrum method, canopy temperature, three-dimensional laser scanning method, etc. Image recognition methods are usually based on color, shape, and texture features, but these features become apparent only after the crops show stress symptoms; spectroscopic methods are mainly based on the principle of differences in chlorophyll content caused by nitrogen changes, although It can accurately measure the...

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Problems solved by technology

[0010] Aiming at the problem that most of the current micro-scale nutrient detection is based on statistical analysis and the detection mechanism is not clear, the present invention proposes a method for determining the distribution characteristics of nitrogen, phosphorus, and potassium inside the leaf based on energy spectrum technology, which can obtain nitrogen, phosphorus, and nitrogen within the range of mesophyll tissue. , the distribution characteristics of potassium elements; providing a method for determining the distribution characteristics of nitrogen, phosphorus and potassium inside the blade based on energy spectrum technology. By means of surface scanning and line scanning in the thickness direction of the leaf section, the energy spectrum of nitrogen, phosphorus, and potassium inside the leaf was obtained, and then the energy spectrum image was analyzed to obtain the spatial distribution characteristics of nitrogen, phosphorus, and potassium in the mesophyll tissue

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