CH716709B1 - System and method for detecting the partition ratio of chlorophyll and lutein in cucumber leaves. - Google Patents

Abstract

The present invention relates to a system for acquiring a two-dimensional spectral transmission image of the leaf surface of a cucumber leaf at a characteristic wavelength to detect the distribution of the chlorophyll content or the lutein content of the cucumber leaf. The system includes a light source module for irradiating at least part of a cucumber leaf, an imaging module for acquiring a two-dimensional spectral transmission image, and at least one control module for controlling the light source module and the imaging module and calculating the chlorophyll content distribution diagram and the lutein content distribution diagram of the cucumber leaf. The light source module comprises a hollow body with a cavity (1) and at least one micro-LED linear array light source unit (4). The inner wall of the hollow body is provided with a diffusely reflecting coating (2), and the surface of the at least one micro LED linear array light source unit (4) contains a diffusely reflecting area. The invention also relates to a method for acquiring the distribution diagrams of the chlorophyll content and lutein content of cucumber leaves.

Description

TECHNICAL AREA

The present invention relates to the technical field of detecting biological components and relates to a system for acquiring a two-dimensional spectral transmission image of the leaf surface of a cucumber leaf at a characteristic wavelength to detect the distribution of the chlorophyll content or the lutein content of the cucumber leaf, and a Method for acquisition of distribution diagrams of chlorophyll content and lutein content of cucumber leaves.

STATE OF THE ART

[0002] Chlorophyll and lutein are important pigments in cucumber leaves. The content and ratio of chlorophyll and lutein determine both the appearance and color of the leaves and the nutritional status of the plant. Traditional physical and chemical analysis methods such as spectrophotometer and high-performance liquid chromatography can simultaneously detect the content of chlorophyll and lutein in the sampling area of leaves and calculate the ratio of chlorophyll and lutein in the sampling area. However, traditional physical and chemical analysis methods cannot achieve continuous spatial sampling of the same leaf, and cannot detect the corresponding content of chlorophyll and lutein at each point of the leaf, so detecting the leaf surface distribution in terms of its content and ratio cannot be achieved.

[0003] Hyperspectral imaging technology contains both the image information of the sample and the spectral information of each pixel in the sample image. Related inventions exploit the sensitivity of pixel spectra to the levels of components in the sample and use a hyperspectral image to achieve the detection of distributions of chlorophyll content in a leaf and water content in a brew (see e.g. CN101692037). An existing hyperspectral system for capturing an image includes an electronically controlled traverser, a hyperspectral camera, and other components, resulting in a complicated hardware structure and high cost. In addition, the imaging technology is difficult to achieve rapid detection of the distribution of sample components due to the large amount of hyperspectral image data and time-consuming and complex data processing steps.

CONTENT OF THE PRESENT INVENTION

The object of the present invention, to eliminate at least one of the above-mentioned disadvantages, is solved by the system according to claim 1 and the method according to claim 12 or 14. The further claims specify preferred embodiments.

The specific steps of the method may be, for example, as follows: Creation of a detection model of chlorophyll and lutein content: selection of three characteristic wavelengths of leaf chlorophyll λa, λb, λc and three characteristic wavelengths of leaf lutein λd, λe, λf to obtain a chlorophyll To obtain a content model Y_1 = F1 (X_λa, X_λb, X_λc) and a lutein content model Y_2 = F2 (X_λd, X_λe, X_λf), the specific operations being as follows: Acquiring spectral response values: Starting from the wavelength H1 nm as a starting point and ΔH as the wavelength measurement interval, spectral response values X1, X2, ..., Xn-1, Xn of n leaves at m wavelengths are acquired with the spectrometer, with a spectral response value corresponding to the j-th (j = 1,2, ......, m-1, m) wavelength in the spectral response values X corresponding to the ith (i = 1,2, ......, n-1, n) leaf, X1_λ( H1+j*ΔH); Detection of the chlorophyll and lutein content: Detection of the chlorophyll content Y_1_1, Y_1_2, ......, Y_1_n-1, Y_1_n and the lutein content Y_2_1, Y_2_2, ......, Y_2_n-1, Y_2_n each of the n sheets by HPLC; Creating the chlorophyll content model: n spectral response values Xi_λ(H1+j*ΔH) corresponding to the m signatures contained in the characteristic wavelengths of the spectral response values X, of the n leaves are used as independent variables and the chlorophyll values Y_1_k (k = 1,2, ......, n-1, n) of the n leaves are used as dependent variables, the chlorophyll content model Y_1 = F1 (X_λd, X_λb, X_λc) = ka* X_λa+ kb* X_λb+ kc* X_λc+ C1with 3 characteristic wavelengths λa, λb, λc is determined after optimization of the characteristic wavelength by a genetic algorithm in combination with a linear regression method, where Y_1 represents the leaf chlorophyll content, where X_λa, X_λb, X_λcthe spectral response values of the leaf at the characteristic wavelengths λa, λb , λc represent, and λa, λb, λc∈ {λ(H1+j*ΔH), j = 1, 2, ..., m-1, m}; ka, k, and kc are the regression coefficients of X_λa, X_λb, X_λci in the chlorophyll content model, respectively, C1 is the constant in the chlorophyll content model; Construction of the lutein content model: n spectral response values Xi_λ(H1+j*ΔH) corresponding to the m characteristic waves contained in the characteristic wavelengths of the spectral response values Xi of the n leaves are used as independent variables and the lutein contents Y_2_v (v = 1, 2, ......, n-1, n) of the n leaves are used as dependent variables, the lutein content model Y_2 = F2 (X_λd, X_λc, X_λf) = kd* X_λd+ ke* X_λe+ kf* X_λf+ C2with 3 signature wavelengths λd, λe, λf is determined after optimization of the signature wavelength by a genetic algorithm combined with a linear regression method, where Y_2 represents the leaf lutein content, where X_λd, X_λe, X_λfare the spectral response values of the leaf at the signature wavelengths λd, λe , λf, and λd, λe, λf∈ {λ(H1+j*ΔH), j = 0, 1, 2, ..., m-1, m}; kd, ke, and kf are the regression coefficients of X_λd, X_λe, X_λf in the lutein content model, respectively, C2 is the constant in the lutein content model.

Image acquisition of the characteristic wavelengths of the leaves:

Using the system for acquiring an image of the leaf surface of the leaf at a characteristic wavelength, the two-dimensional transmission image of the leaf is acquired at the characteristic wavelengths λa, λb, λc, λd, λe, λf, with no mechanical action and no sample displacement in the system. The specific steps can be as follows: placing the sheet in the imaging window and controlling the LED lights in the micro LED linear array light source unit via the data cable using the controller so that the LED lights are off. Sequentially controlling the LED lights in the micro LED linear array light source unit via the data cable using the controller so that the LED lights are alternately on and off. At the same time, the controller controls the camera so that the two-dimensional transmission characteristic images I_λa, I_λb, I_λc, I_λd, I_λe, I_λf of the leaves are recorded at the characteristic wavelengths λa, λb, λc, λd, λc, λf in the light-emitting state.

The control device stores the two-dimensional transmission characteristic images I_λa, I_λb, I_λc, I_λd, I_λe, I_λf recorded by the camera in the computer.

Detection of the leaf surface distribution of the chlorophyll and lutein ratio of the leaves to be tested:

Substituting the obtained two-dimensional transmission characteristics of chlorophyll and lutein into the prepared detection model of chlorophyll and lutein content to obtain a two-dimensional leaf surface distribution diagram of chlorophyll content and a two-dimensional leaf surface distribution diagram of lutein content, and the two-dimensional leaf surface distribution diagram of chlorophyll content is divided by the two-dimensional leaf surface distribution diagram of lutein content to obtain the distribution diagram of chlorophyll to lutein ratio.

The advantageous effects of the present invention and its embodiments:

By building a system for capturing an image with light sources containing the wavelengths λa, λb, λc, λd, λe, λf, two-dimensional transmission images of the leaves can be captured at the characteristic wavelengths λa, λb, λc, λd, λe, λr, with no mechanical impact and no sample displacement in the system. Based on the chlorophyll content model and the lutein content model and using the two-dimensional transmission images at the characteristic wavelengths λa, λb, λc, λd, λe, λfals model input, a chlorophyll content distribution diagram, a lutein content distribution diagram and a distribution diagram of the chlorophyll to lutein ratio of the sheet can be calculated quickly. In contrast, existing hyperspectral imaging technologies cannot rapidly establish canopy composition and ratio distribution in leaves.

BRIEF DESCRIPTION OF THE DRAWING

Figure 1 is a schematic representation of the system for capturing an image of the sheet at a characteristic wavelength. In this figure are shown: hollow body with light source cavity 1, diffusely reflecting coating 2, support column 3, micro-LED linear array light source unit 4, λa-LED lamp 5, λbLED-lamp 6, λc-LED lamp 7, λdLED -lamp 8, λc LED lamp 9, λf LED lamp 10, support rod 11, data cable 12, curved reflecting units 13, rectangular housing 14, controller 15, camera 16, lens 17, sample stage 18, support rod 19, imaging window 20, Computer 21. Fig. 2 shows a chlorophyll leaf distribution diagram, a lutein leaf distribution diagram and a chlorophyll to lutein ratio leaf distribution diagram of cucumber leaves in an example, where (a) a chlorophyll leaf distribution diagram of cucumber leaves, (b) a lutein Leaf distribution diagram of cucumber leaves, (c) is a chlorophyll to lutein ratio leaf distribution diagram of cucumber leaves.

DETAILED DESCRIPTION

In order to make the object and advantages of the present invention clearer and to enable those skilled in the art to better understand the present invention, the present invention will be described more clearly and fully hereinafter in connection with the drawings and specific embodiments of the present invention.

Example 1: A system for capturing an image of cucumber leaf surfaces at a characteristic wavelength.

A system is provided for acquiring an image of the leaf surface of cucumber leaves at a signature wavelength, wherein a two-dimensional transmission image of the leaf is acquired at the signature wavelength, with no mechanical impact and no sample shift in the system.

The system for capturing an image of the leaf surface at a characteristic wavelength therefore comprises a system for capturing an image of the leaf surface of cucumber leaves at a characteristic wavelength, comprising a light source module for providing light; an imaging module for acquiring two-dimensional transmission images; a control module for controlling the light source module and the imaging module and for calculating the distribution of the ratio of chlorophyll to lutein according to the captured images; The light source module comprises a hollow body having a cavity 1 (hereinafter also called light source room) and a micro LED linear array light source unit 4 placed in the light source 1 room, the inner wall of the light source 1 room is covered with a diffuse reflecting Coating 2 provided, and the surface of the micro-LED linear array light source unit 4 includes a diffuse reflecting area.

The top of the space of the light source 1 may be provided with an opening.

The light source module further includes a support rod of the light source space 3 and a housing 14, and the light source space 1 is fixed by the support rod of the light source space 3 in the housing 14.

Several and even number, preferably 6 micro-LED linear array light source units 4 can be provided.

The micro-LED linear array light source units 4 may comprise a plurality of, preferably 6, LED lamps arranged uniformly in a straight line on the same plane.

The light source module may further include a support rod 11 and a curved reflecting unit 13 . The micro LED linear array light source unit 4 can be supported by the support rod 11 and distributed symmetrically in the light source 1 space around the axis of the light source 1 space in the same plane, with the spaces of the LED linear array light source units 4 facing each other Light sources 1 can be provided with a curved reflection unit 13 on its inner wall.

The support rod 11 and the domed reflection unit 13 can be coated with diffusely reflective coatings.

The system for capturing an image of the leaf surface at a characteristic wavelength further includes an imaging module, the imaging module includes a camera 16, a lens 17, a sample stage 18, a support column 19 and an imaging window 20, the sample stage 18 is at the top of the room of the light source is fixed by the support rod 19, the sample stage 18 is provided with an imaging window at a central portion, the lens 17 is placed on the camera 16, the camera 16 and the imaging window 20 are both on the light path of the light source outlet of the light source space 1 are arranged.

The light emitted from the micro LED linear array light source unit 4 is reflected by the curved reflection unit 13, the diffuse reflective coating 2 on the inner wall of the light source space, the micro LED linear array light source unit 4 and the support rod of the LED - Luminaires 11 reflects and then enters the lens 17 through the imaging window 20 .

The imaging window 20 may be filled with translucent glass.

The system for capturing an image of the leaf surface at a characteristic wavelength further comprises a control module, the control module comprises a control unit 15 and a computer 21, the control unit 15 being connected to the computer 21 via a data cable 12, the LED lights in of the micro LED linear array light source unit 4 are connected to the control unit 15 via the data cable 12 , the camera 16 is connected to the control unit 15 via the data cable 12 .

Example 2: Non-destructive detection of the leaf surface distribution of the ratio of chlorophyll to lutein of the cucumber leaves.

S1. Creation of a detection model of the chlorophyll and lutein content: Select three characteristic wavelengths of leaf chlorophyll λa, λb, λc and three characteristic wavelengths of leaf lutein λd, λe, λf to create a chlorophyll content model Y_1 = F1 (X_λa, X_λb, X_λc) and a lutein, respectively -Grade model Y_2 = F2 (X_λd, X_λe, X_λf), the model creation process as follows: (1) Acquiring spectral response values: Starting from the wavelength Hl=400nm as the starting point and ΔH =1,928nm as the wavelength measurement interval, will be at 778 wavelengths λ(400 + 1 * 1.928), λ(400+2) *1.928), ......, λ(400+777*1.928), λ(400 - 778*1.928) the respective spectral response values X1, X2 , ..., X99, X100 out of 100 sheets acquired with the spectrometer, where the spectral response value corresponding to the j-th (j = 1,2, ......, 777, 778) wavelength in the spectral response values X1, corresponding to the ith (i=1,2,......,99,100) leaf is Xi_λ(400+j*1.928); (2) Detection of the chlorophyll and lutein content in a sample: chlorophyll contents Y_1_1, Y_1_2, ......, Y_1_99, Y_1_100 and lutein contents Y_2_1, Y_2_2, ......, Y_2_99, Y_2_100 of 100 leaves are determined by HPLC (LC-20A, Shimadzu, Japan). (3) Building the chlorophyll content model: The spectral response values X1_λ(400+j*1.928) of characteristic wavelength 778 contained in the spectral response values Xi of the 100 sheets are used as independent variables. The chlorophyll contents Y_1_k (k = 1,2, ......, 99, 100) of the 100 leaves are used as the dependent variable. After optimizing the characteristic wavelength using a genetic algorithm, the chlorophyll content model with 3 characteristic wavelengths λa= λ550= 550 nm, λb= λ639= 639 nm, λc= λ701= 701 nm is created by combining it with a linear regression method: Y_1 = F1 ( X_λ550, X_λ639, X_λ701) = 0.4186 * X_λ550+ 0.0173 * X_λ639-0.3824 * X_λ701+ 1.4921 where Y_1 represents the leaf chlorophyll content, and where X_λ550, X_λ639, X_λ701 are the spectral response values at the characteristic wavelengths of the leaf λ 550 nm, λb= 639 nm, λc= 701 nm, (4) Creation of the lutein content model: The spectral response values X1_λ(400+j*1.928) of the characteristic wavelength 778 contained in the spectral response values X1 of the 100 sheets are represented used as an independent variable. The lutein contents Y_2_v (v=1,2,......,99,100) of the 100 leaves are taken as the dependent variable. After optimizing the characteristic wavelength by a genetic algorithm, the lutein content model with 3 characteristic wavelengths λd= λ419= 419 nm, λe= λ440= 440 nm, λf= λ469= 469nm is created by combination with a linear regression method: Y_2 = F2 (X_419 , X_440, X_469) = 1.7391 * X_λ419+ 0.0024 * X_λ440-0.6953 * X_λ469+ 0.9736, where Y_2 represents the leaf lutein content, where X_λ419, X_λ440, X_λ469are the spectral responses of the leaf at the characteristic wavelengths 4 λd= 19.d= nm, λe= 440 nm, λf= 469 nm, S2. Image acquisition of the characteristic wavelengths of the cucumber leaves: (1) placing the cucumber leaf in the imaging window 20, the controller 15 controls the six LED lights in the micro LED linear array light source unit 4 with data cable 12 so that all the LED lights are off. (2) The controller 15 controls the LED lamps in the micro LED linear array light source unit 4 so that the LED lamps are alternately turned on and off one after another. The two-dimensional transmission characteristics of chlorophyll and lutein at different characteristic wavelengths are sequentially acquired, the specific steps thereof are as follows: The controller 15 controls all the λ550 LED lamps 5 to be in a light-emitting state. The camera 16 is controlled so that the characteristic two-dimensional transmission images I_λ550 of the cucumber leaves are recorded at the characteristic wavelengths λ550. The controller 15 controls all λ550 LED lights 5 to be in an off state. The controller 15 controls all the λ639 LED lamps 6 to be in a light-emitting state. The camera 16 is controlled so that the characteristic two-dimensional transmission images I_λ639 of the cucumber leaves are recorded at the characteristic wavelengths λ639. The controller 15 controls all of the λ639 LED lamps 6 to be in an off state. The controller 15 controls all of the λ701 LED lamps 7 to be in a light-emitting state. The camera 16 is controlled to so that the two-dimensional transmission characteristic images I_λ701 of the cucumber leaves are recorded at the characteristic wavelengths λ701. The controller 15 controls all λ701 LED lamps 7 to be in an off state. The controller 15 controls all λ419 LED lamps 8 to be in a light emitting state. The camera 16 is controlled so that so that the two-dimensional characteristic transmission images I_λ419 of the cucumber leaves are recorded at the characteristic wavelengths λ419. The controller 15 controls all of the λ419 LED lights 8 to be in an off state. The controller 15 controls all the λ440 LED lamps 9 to be in a light-emitting state. The camera 16 is controlled so that the characteristic two-dimensional transmission images I_λ440 of the cucumber leaves are recorded at the characteristic wavelengths λ440. The controller 15 controls all λ440 LED lamps 9 to be in an off state. The controller 15 controls all λ469 LED lamps 10 to be in a light emitting state. The camera 16 is controlled so that the characteristic two-dimensional transmission images I_λ469 of the cucumber leaves are recorded at the characteristic wavelengths λ469. (3) The controller 15 controls all λ469 LED lamps 10 to be in an off state. The two-dimensional transmission characteristic images I_λ550, I_λ639, I_λ701, I_λ419, I_λ440, I_λ469 recorded by the camera are stored in the computer 21. S3. Detection of the leaf surface distribution of the chlorophyll and lutein ratio of the leaves to be tested: Inserting the obtained two-dimensional transmission characteristic images of chlorophyll and lutein into the detection model of the chlorophyll and lutein content obtained in step S1 to create a two-dimensional leaf surface distribution diagram of the chlorophyll content and a two-dimensional one leaf surface distribution diagram of lutein content, and the two-dimensional leaf surface distribution diagram of chlorophyll content is divided by the two-dimensional leaf surface distribution diagram of lutein content to obtain the distribution diagram of chlorophyll-lutein ratio.

Example 3. Detection of the leaf surface distribution of the chlorophyll and lutein ratio of the leaves to be tested:

(1) Capturing an image of a sheet at a characteristic wavelength to be tested: placing the sheet to be tested in the sample area of the system for capturing an image and holding it as it is in the sample position. Using the image acquisition system, the two-dimensional transmission characteristic images of the sheets I_λ550, I_λ639, I_λ701, I_λ419, I_λ440, I_λ469 are acquired at the characteristic wavelengths λ550, λ639, λ701, λ419, λ440, λ469. (2) Detection of the two-dimensional leaf surface distribution diagram of the chlorophyll content: Inserting the transmission characteristics I_λ550, I_λ639, I_λ701 of the tested leaves at characteristic wavelengths λ550, λ639, λ701 into the chlorophyll content model Y_1 = F1 (X_λ550, X_λ639, X_λ701), thereby obtaining the two-dimensional leaf surface distribution diagram des Chlorophyll content I_Y_1 = F1 (I_λ550, I_λ639, I_λ701) = 0.4186 * I_λ550+ 0.0173 * I_λ639- 0.3824 * I_λ701+ 1.4921, where the two-dimensional leaf surface distribution diagram of chlorophyll content I_Y_1 is as shown in Fig (a). The spectral response value in Fig. 2(a) represents the chlorophyll content of the leaf at the pixel, and the detection of the two-dimensional leaf surface distribution diagram of the chlorophyll content is achieved. (3) Detection of the two-dimensional leaf surface distribution diagram of the lutein content: Inserting the transmission characteristics I_λ419, I_λ440, I_λ469 of the tested leaves at characteristic wavelengths λ419, λ440, λ469 into the lutein content model Y_2 = F2 (X_λ419, X_λ440, X_λ469), thereby obtaining the two-dimensional leaf surface distribution diagram Lutein content I_Y_2 = F2 (I_419, I_λ440, I_λ469) = 1.7391 * I_λ419+ 0.0024 * I_λ440- 0.6953 * I_λ469+ 0.9736, where the two-dimensional leaf surface distribution diagram of lutein content I_Y_2 is as shown in Fig. 2 (b). The spectral response value in Fig. 2(b) represents the lutein content of the leaf at the pixel, and the detection of the two-dimensional leaf surface distribution diagram of the lutein content is achieved. (4) Detection of the distribution diagram of chlorophyll to xanthophyll ratio: The two-dimensional leaf surface distribution diagram of chlorophyll content I-Y_1 is divided by the two-dimensional leaf surface distribution diagram 1_Y_2 of lutein content to obtain the distribution diagram of chlorophyll to lutein ratio I_Y_3 = I_Y_1 / I_Y_2 to get. Among these, the distribution diagram I_Y_3 of the ratio of chlorophyll to lutein is shown in Fig. 2(c). The spectral response value in Figure 2(c) represents the ratio of chlorophyll to lutein at the pixel, and detection of the distribution diagram of the ratio of chlorophyll to lutein is achieved.

Claims (14)

A system for acquiring a two-dimensional spectral transmission image of the leaf surface of a cucumber leaf at a characteristic wavelength to detect the distribution of the chlorophyll content or the lutein content of the cucumber leaf, characterized in that it comprises a light source module for irradiating at least part of a cucumber leaf; an imaging module for acquiring a two-dimensional spectral transmission image; and at least one control module for controlling the light source module and the imaging module and for calculating the chlorophyll content distribution diagram and the lutein content distribution diagram of the cucumber leaf based on spectral response values of the acquired two-dimensional spectral transmission image, wherein the light source module comprises a hollow body with a cavity (1) and at least one micro LED linear array light source unit (4) arranged in the cavity, the inner wall of the hollow body (1) being provided with a diffusely reflective coating (2). and the surface of the at least one micro-LED linear array light source unit (4) includes a diffusely reflecting area, wherein the control module is designed to generate a two-dimensional spectral transmission image of the leaf surface of the cucumber leaf for detecting the distribution of the chlorophyll content or of the lutein content of the cucumber leaf. 2. System according to claim 1, characterized in that the top of the hollow body (1) is provided with an opening. 3. System according to claim 1, characterized in that the light source module further comprises a support column (3) and a housing (14), wherein the hollow body (1) is fixed by the support column (3) in the housing (14). 4. The system according to claim 1, characterized in that there is an even number of micro LED linear array light source units (4). 5. System according to claim 1, characterized in that the at least one micro-LED linear array light source unit (4) comprises a plurality of, preferably 6, LED lights arranged uniformly in a straight line in the same plane. The system according to claim 1, characterized in that the light source module further comprises a support rod (11) and arcuate reflection units (13), there being a plurality of micro LED linear array light source units (4) supported by the support rod (11). and symmetrically arranged in the cavity around an axis of the cavity in the same plane, the reflection units (13) being arranged on the inner wall of the hollow body (1) and opposite to the micro-LED linear array light source units (4). 7. System according to claim 6, characterized in that the support rod (11) and the respective curved reflection unit (13) are coated with a diffusely reflecting coating. 8. System according to claim 6, characterized in that the imaging module comprises a camera (16), a lens (17), a sample stage (18), a further support rod (19) and an imaging window (20), the sample stage (18 ) is fixed by the further support rod (19) above the hollow body (1), the sample table (18) having a central portion which is provided with the imaging window (20), the lens (17) on the camera (16) and the camera (16) and the imaging window (20) are both arranged on the beam path of the light of the micro-LED linear array light source units (4) emitted through a light source output of the hollow body (1). 9. System according to claim 8, characterized in that it is designed in such a way that the micro-LED linear array light source units (4) emitted light from the curved reflection units (13), the diffusely reflective coating (2) on the inner wall of the hollow body, the micro LED linear array light source units (4) and the support rod (11) and then can enter the lens (17) through the imaging window (20). 10. System according to claim 8, characterized in that the imaging window (20) is filled with translucent glass. 11. System according to claim 8, characterized in that the control module comprises a control unit (15) and a computer (21), the control unit (15) being connected to the computer (21) via a data cable (12), the LED - lights in the micro LED linear array light source units (4) are connected to the controller (15) via the data cable (12) and the camera (16) is connected to the controller (15) via the data cable (12). 12. A method for acquiring the distribution diagrams of the chlorophyll content and lutein content of cucumber leaves, characterized in that the method comprises the following steps: a) Creating a chlorophyll content model and a lutein content model, by the following steps: i) Acquisition of two-dimensional spectral transmission images of cucumber leaves at multiple wavelengths ii) Determination of chlorophyll and lutein content in cucumber leaves iii) identification of at least one chlorophyll characteristic wavelength and at least one lutein characteristic wavelength from the two-dimensional spectral transmission images acquired in step i) and based on the chlorophyll and lutein contents in the cucumber leaves determined in step ii) using a genetic algorithm; and iv) Build using a regression method A) A chlorophyll content model based on the chlorophyll contents in the leaves and the two-dimensional spectral transmission images recorded at the chlorophyll signature wavelengths; and B) a lutein content model based on the lutein contents in the leaves and the two-dimensional spectral transmission images recorded at the lutein characteristic wavelengths; b) acquiring further two-dimensional spectral transmission images of a further cucumber leaf at the at least one chlorophyll signature wavelength and at least one lutein signature wavelength identified in step a)iii) using the system according to any one of claims 1 to 11; and c) inserting the further two-dimensional spectral transmission images acquired in step b) into the content model of the chlorophyll and lutein content created in step a) in order to obtain the distribution diagram of the chlorophyll content and the distribution diagram of the lutein content. 13. The method according to claim 12, characterized in that the acquisition of two-dimensional spectral transmission images of a further cucumber leaf placed in the imaging window is carried out using the system according to one of claims 8 to 11. 14. Method for determining the distribution diagram of the chlorophyll-lutein ratio, the method comprising the following steps: I) determining the distribution diagrams of the chlorophyll content and lutein content by the method according to claim 12 or 13; and II) Divide the chlorophyll content distribution diagram by the lutein content distribution diagram to obtain the chlorophyll-lutein ratio distribution diagram.