A kind of orchard lighting control system and method based on data recognition

Abstract

The invention discloses an orchard lighting control system and method based on data identification, and relates to the technical field of orchard lighting. The invention comprises a lighting intensity data identification module, a lighting environment data identification module and a lighting data control module. In step 2, in the lighting environment data identification, the lighting environment compliance index of the peach trees in each backward growth area in the orchard is analyzed, the chlorophyll content in the peach leaves is increased, the photosynthesis efficiency is guaranteed, and the quality of peach tree growth is improved. In step 3, in the lighting data control, the lighting of the peach trees in each backward growth area in the orchard is adjusted, the lighting duration and intensity are controlled to affect the fruiting ability, the problem of reduced flower bud differentiation is reduced, and the number of fruits is increased, the problem of dull fruit color is improved, the fruit taste and the yield of the orchard are improved, and the commodity value is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of orchard lighting control, and in particular to an orchard lighting control system and method based on data recognition. Background Art

[0002] With the growth of the global population and the increasing requirements for the quality and yield of agricultural products, the refined management of orchards has become increasingly important. Traditional orchard management is relatively extensive in terms of light control, often relying on natural light and simple shading measures. In some traditional orchards, fruit farmers can only reduce the damage of strong light to the fruit in summer by building simple shading nets, but this method cannot be accurately adjusted according to the actual light intensity and duration. Therefore, it is necessary to control the light of the orchard based on data recognition.

[0003] Prior art, such as the invention patent application with announcement number: CN114027052A, discloses a light regulation system for plant reproductive development, which includes: data acquisition module, natural light acquisition module, parameter acquisition module, central control module, image data processing module, image feature extraction module, growth period judgment module, matching module, plant growth position determination module, judgment module and light regulation module. The present invention analyzes the type of plant and the growth period, intelligently determines the parameters such as light required by the plant, and adopts appropriate light mode, light intensity and light time respectively, which can effectively shorten the breeding cycle or growth cycle of the plant, advance the flowering time, and greatly shorten the seed collection cycle; at the same time, the present invention can meet the plant's demand for light to the greatest extent possible; truly realize the scale, precision and intelligence of plant production, and greatly increase social and economic benefits.

[0004] Based on the above solutions, it can be found that an orchard lighting control system and method based on data recognition in the prior art can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects:

[0005] 1. The research on the light environment compliance index of peach trees in various backward growth areas in the orchard in the prior art is not in-depth enough. In the backward growth areas with insufficient light, the appearance compliance index, leaf transpiration compliance index and photosynthetic compliance index of peach trees in various backward growth areas in the orchard will be affected. Insufficient light leads to a decrease in the chlorophyll content in the peach leaves, affecting the photosynthesis efficiency, thereby reducing the quality of peach tree growth.

[0006] Second, the prior art does not pay enough attention to the light regulation of peach trees in the lagging growth areas in the orchard. Due to the insufficient light regulation of peach trees in the lagging growth areas, the fruit-bearing ability is affected, the differentiation of flower buds is reduced, and the number of fruits is reduced, resulting in dull fruit color, affecting the taste of the fruit, reducing the yield of the orchard, and affecting its commercial value. Summary of the invention

[0007] The purpose of the present invention is to provide an orchard lighting control system and method based on data recognition, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an orchard lighting control system based on data recognition, including a lighting intensity data recognition module, a lighting environment data recognition module and a lighting data control module.

[0009] Light intensity data recognition module: By dividing the peach trees in the orchard into regions, the peach tree areas in the orchard are obtained, and the nutritional growth compliance index of the peach trees in each area of ​​the orchard is analyzed.

[0010] Lighting environment data identification module: Based on the obtained peach tree nutritional growth compliance index in each area of ​​the orchard, the lagging growth areas in the orchard are screened to obtain the geographical environment of the peach trees in each lagging growth area in the orchard, and then the lighting environment compliance index of the peach trees in each lagging growth area in the orchard is analyzed.

[0011] Lighting data control module: Based on the obtained lighting environment compliance index of peach trees in various lagging growth areas in the orchard, the lighting of peach trees in various lagging growth areas in the orchard is adjusted to control the lighting duration and intensity.

[0012] Furthermore, the nutritional growth compliance index of peach trees in each area of ​​the orchard is specifically analyzed by the following method: based on the obtained peach tree areas in the orchard, each phenological period of each peach tree area in the orchard is detected by a camera and a scanning analyzer to obtain the illumination data of each phenological period of each peach tree area in the orchard, wherein the illumination data includes: the length of new shoots, the number of leaves and the leaf area of ​​each phenological period of each peach tree area in the orchard, and the fruit load assessment index Q of each peach tree area in the orchard is analyzed. mn and gas exchange assessment index W mn , and then analyze the nutrition growth compliance index of peach trees in each area of ​​the orchard. The specific calculation formula is: Among them, m represents the area number, n = 1, 2, ..., b, n represents the phenological period number, and b represents the number of phenological periods.

[0013] Further, the fruit load assessment index of each phenological period in each peach tree area in the orchard is specifically analyzed by the following method: based on the obtained new shoot length of each peach tree area in each phenological period in the orchard, and extracting the new shoot reference length of each phenological period of the peach trees in the orchard from the database, analyzing the fruit load assessment index of each phenological period in each peach tree area in the orchard, the specific calculation formula is: Among them, a mn It is expressed as the length of new shoots in the nth phenological period of the mth peach tree area in the orchard, a n ' represents the reference length of new shoots of peach trees in the orchard in the nth phenological period.

[0014] Further, the gas exchange evaluation index of each phenological period in each peach tree area in the orchard is specifically analyzed by the following method: based on the obtained leaf quantity and leaf area of ​​each phenological period in each peach tree area in the orchard, the reference number of leaves and reference area of ​​leaves of each phenological period in the peach tree in the orchard are extracted from the database, and then the gas exchange evaluation index of each phenological period in each peach tree area in the orchard is analyzed, and the specific calculation formula is: Among them, c mn It is represented by the number of leaves of peach trees in the mth area of ​​the orchard at the nth phenological period, c n ' represents the reference number of leaves of peach trees in the orchard at the nth phenological period, s mn It is represented by the leaf area of ​​peach trees in the mth area of ​​the orchard at the nth phenological period, s n ' represents the reference leaf area of ​​peach trees in the orchard at the nth phenological period.

[0015] Furthermore, the lighting environment compliance index of peach trees in each backward growth area in the orchard is specifically analyzed by the following method: based on the obtained peach tree nutritional growth compliance index in each area in the orchard, the peach tree nutritional growth compliance index in each area in the orchard is compared with the peach tree nutritional growth compliance index threshold in the orchard stored in the database; if the peach tree nutritional growth compliance index in a certain area in the orchard is less than the peach tree nutritional growth compliance index threshold in the orchard, the area in the orchard is recorded as a backward growth area in the orchard, thereby obtaining the peach geographical environment data in each backward growth area in the orchard.

[0016] The geographical environment of peach trees in each backward growth area in the orchard was identified by video recorders, and the sugar accumulation value, leaf burn area, and chlorophyll fluorescence value of peach trees in each backward growth area in the orchard were obtained. The appearance evaluation index R of peach trees in each backward growth area in the orchard was analyzed. f , peach leaf transpiration risk index T in each backward growth area in the orchard f and the photosynthetic evaluation index Y of peach leaves in each growth lagging area in the orchard f, and then analyze the light environment compliance index of peach trees in each growth lagging area in the orchard. The specific calculation formula is: f =R f +T f +Y f .

[0017] Further, the peach tree appearance evaluation index of each backward growth area in the orchard is specifically analyzed by: by performing image recognition on each backward growth peach tree area in the orchard, the contour data of each backward growth peach tree area in the orchard is obtained, and then the branch and trunk dispersion area of ​​each backward growth area in the orchard is extracted, and the branch and trunk dispersion reference area of ​​the peach tree area in the orchard is extracted from the database, and the peach tree morphology evaluation index of each backward growth area in the orchard is analyzed, and the specific calculation formula is: Among them, h f It is represented as the branch dispersion area of ​​peach trees in the fth lagging growth area in the orchard, and h' is represented as the branch dispersion reference area of ​​peach trees in the orchard.

[0018] Based on the obtained cumulative sugar values ​​of peach trees in each backward growth area in the orchard, and extracting the cumulative sugar reference value of peach trees in the orchard from the database, the color evaluation index of peach trees in each backward growth area in the orchard was analyzed, and the specific calculation formula is: Among them, g f It is expressed as the cumulative sugar value of peach trees in the fth lagging growth area in the orchard, and g' is expressed as the cumulative reference value of sugar for peach trees in the orchard.

[0019] The peach tree appearance evaluation index of each growth lagging area in the orchard was analyzed, and the specific calculation formula was: R f =Z f ×W f .

[0020] Furthermore, the leaf transpiration risk index of peach trees in each backward growth area in the orchard is specifically analyzed by: based on the obtained leaf burn area of ​​peach trees in each backward growth area in the orchard, the leaf burn reference area of ​​peach trees in the orchard is extracted from the database, and then the leaf transpiration risk index of peach trees in each backward growth area in the orchard is analyzed, and the specific calculation formula is: Wherein, e represents the leaf burn area of ​​peach trees in the fth lagging growth area in the orchard, and e' represents the leaf burn reference area of ​​peach trees in the orchard.

[0021] Furthermore, the specific analysis method of the peach leaf photosynthetic evaluation index of each backward growth area in the orchard is as follows: by detecting the carbon dioxide concentration of each backward growth area of ​​the peach tree in the orchard, the carbon dioxide value of each backward growth area of ​​the peach tree in the orchard is obtained, and based on the obtained peach chlorophyll fluorescence value of each backward growth area in the orchard, the chlorophyll fluorescence reference value of the peach trees in the orchard and the area of ​​each backward growth area of ​​the peach tree in the orchard are extracted from the database, and then the leaf photosynthetic evaluation index of the peach trees in each backward growth area in the orchard is analyzed, and the specific calculation formula is: Where u represents the chlorophyll fluorescence value of the peach tree in the fth growth lagging area in the orchard, u' represents the chlorophyll fluorescence reference value of the leaf burn of the peach tree in the orchard, and B f It is expressed as the carbon dioxide value of peach trees in the fth growth lagging area in the orchard, B f ' represents the area of ​​peach trees in the fth growth lagging zone in the orchard.

[0022] Furthermore, the illumination of the peach trees in each lagging growth area in the orchard is adjusted, and the specific analysis method is as follows: based on the obtained illumination environment compliance index of the peach trees in each lagging growth area in the orchard, the illumination environment compliance index of the peach trees in each lagging growth area in the orchard is compared with the illumination environment compliance index threshold of the peach trees in each lagging growth area in the orchard stored in the database; if the illumination environment compliance index of the peach trees in a lagging growth area in the orchard is less than the illumination environment compliance index threshold, then the illumination intensity is set. Output the additional illumination duration q corresponding to the specified growth lagging area, where q' represents the reference additional illumination duration corresponding to the index threshold of the peach tree illumination environment in each growth lagging area in the orchard stored in the database, q _0 ,q _1 They respectively represent the additional time corresponding to the predefined unit increase of the light environment compliance index of the peach trees in each lagging growth area in the orchard, and the reduced time corresponding to the unit reduction of the light environment compliance index of the peach trees in each lagging growth area in the orchard.

[0023] The second aspect of the present invention provides a method for an orchard lighting control system based on data recognition, comprising: step one, light intensity data recognition: by dividing the peach trees in the orchard into regions, obtaining the peach tree regions in the orchard, and analyzing the nutritional growth compliance index of the peach trees in each region of the orchard.

[0024] Step 2, Identification of lighting environment data: Based on the obtained peach tree nutritional growth compliance index in each area of ​​the orchard, screen the lagging growth areas in the orchard, obtain the geographical environment of the peach trees in each lagging growth area in the orchard, and then analyze the lighting environment compliance index of the peach trees in each lagging growth area in the orchard.

[0025] Step 3, lighting data control: Based on the obtained lighting environment compliance index of the peach trees in each lagging growth area in the orchard, the lighting of the peach trees in each lagging growth area in the orchard is adjusted to control the lighting duration and intensity.

[0026] The beneficial effect of the present invention is that in step 2, the illumination environment data recognition, based on the obtained nutrition growth compliance index of peach trees in various areas of the orchard, the nutrition growth non-compliance index of each peach tree area in the orchard is screened, the geographical environment of the peach trees in each backward growth area in the orchard is obtained, and then the illumination environment compliance index of the peach trees in each backward growth area in the orchard is analyzed, the chlorophyll content in the peach tree leaves is increased, the photosynthesis efficiency is guaranteed, and then the quality of peach tree growth is improved.

[0027] In step three, light data control, based on the obtained light environment compliance index of peach trees in each lagging growth area in the orchard, light adjustment is performed on the peach trees in each lagging growth area in the orchard, and the light duration and intensity are controlled to affect the fruit-bearing ability, reduce the problem of reduced flower bud differentiation, thereby increasing the number of fruits, improving the problem of dull fruit color, improving the taste of the fruit and the yield of the orchard, and increasing the commercial value. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0030] Figure 2 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Reference Figure 1 As shown, the present invention provides an orchard lighting control system based on data recognition, including: a light intensity data recognition module: by dividing the peach trees in the orchard into regions, obtaining the peach tree regions in the orchard, and analyzing the nutritional growth compliance index of the peach trees in each region in the orchard.

[0033] Lighting environment data identification module: Based on the obtained peach tree nutritional growth compliance index in each area of ​​the orchard, the lagging growth areas in the orchard are screened to obtain the geographical environment of the peach trees in each lagging growth area in the orchard, and then the lighting environment compliance index of the peach trees in each lagging growth area in the orchard is analyzed.

[0034] Lighting data control module: Based on the obtained lighting environment compliance index of peach trees in various lagging growth areas in the orchard, the lighting of peach trees in various lagging growth areas in the orchard is adjusted to control the lighting duration and intensity.

[0035] It should be noted that the database is used to store the reference length of new shoots in each phenological period of the peach trees in the orchard, the reference number of leaves, the nutritional growth compliance index threshold of the peach trees in the orchard, the reference area of ​​leaves and the reference value of sugar accumulation of the peach trees in the orchard, the reference area of ​​leaf burns and the reference value of chlorophyll fluorescence, the reference area of ​​branch dispersion, the area of ​​each lagging growth area of ​​the peach trees in the orchard, and the lighting environment compliance index threshold of each lagging growth area in the orchard.

[0036] It should be noted that the reference length of new shoots, reference number of leaves, reference area of ​​leaves in each phenological period of peach trees in the orchard and the reference value of sugar accumulation, color reference value, reference area of ​​leaf burns and chlorophyll fluorescence reference value of peach trees in the lagging growth area in the orchard were analyzed based on the historical average data of peach trees in the orchard.

[0037] It should also be noted that the light intensity data recognition module is connected to the light environment data recognition module, the light intensity data recognition module is connected to the database, the light environment data recognition module is connected to the database, the light environment data recognition module is connected to the light data control module, and the light data control module is connected to the database.

[0038] In a specific embodiment of the present invention, the nutritional growth compliance index of peach trees in each area of ​​the orchard is specifically analyzed by the following method: based on the obtained peach tree areas in the orchard, each phenological period of each peach tree area in the orchard is detected by a camera and a scanning analyzer to obtain the illumination data of each phenological period of each peach tree area in the orchard, wherein the illumination data includes: the length of new shoots, the number of leaves and the leaf area of ​​each phenological period of each peach tree area in the orchard, and the fruit load assessment index Q of each phenological period of each peach tree area in the orchard is analyzed. mn and gas exchange assessment index W mn , and then analyze the nutrition growth compliance index of peach trees in each area of ​​the orchard. The specific calculation formula is: Among them, m represents the area number, n = 1, 2, ..., b, n represents the phenological period number, and b represents the number of phenological periods.

[0039] It should be noted that the length of new shoots, the number of leaves and the leaf area at each phenological period in each peach tree area in the orchard were obtained through image detection.

[0040] In a specific embodiment of the present invention, the fruit load evaluation index of each phenological period in each peach tree area in the orchard is specifically analyzed by: based on the obtained new shoot length of each peach tree area in each phenological period in the orchard, and extracting the new shoot reference length of each phenological period of the peach trees in the orchard from the database, analyzing the fruit load evaluation index of each phenological period in each peach tree area in the orchard, and the specific calculation formula is: Among them, a mn It is expressed as the length of new shoots in the nth phenological period of the mth peach tree area in the orchard, a n ' represents the reference length of new shoots of peach trees in the orchard in the nth phenological period.

[0041] In a specific embodiment of the present invention, the gas exchange evaluation index of each phenological period in each peach tree area in the orchard is specifically analyzed by the following method: based on the obtained leaf quantity and leaf area of ​​each phenological period in each peach tree area in the orchard, the reference number of leaves and reference area of ​​leaves of each phenological period in the peach tree in the orchard are extracted from the database, and then the gas exchange evaluation index of each phenological period in each peach tree area in the orchard is analyzed, and the specific calculation formula is: Among them, c mn It is represented by the number of leaves of peach trees in the mth area of ​​the orchard at the nth phenological period, c n ' represents the reference number of leaves of peach trees in the orchard at the nth phenological period, s mn It is represented by the leaf area of ​​peach trees in the mth area of ​​the orchard at the nth phenological period, s n ' represents the reference leaf area of ​​peach trees in the orchard at the nth phenological period.

[0042] In a specific embodiment of the present invention, the lighting environment compliance index of peach trees in each backward growth area in the orchard is specifically analyzed by the following method: based on the obtained peach tree nutritional growth compliance index in each area in the orchard, the peach tree nutritional growth compliance index in each area in the orchard is compared with the peach tree nutritional growth compliance index threshold value in the orchard stored in the database; if the peach tree nutritional growth compliance index in a certain area in the orchard is less than the peach tree nutritional growth compliance index threshold value in the orchard, the area in the orchard is recorded as a backward growth area in the orchard, thereby obtaining the peach geographical environment data of each backward growth area in the orchard.

[0043] The geographical environment of peach trees in each backward growth area in the orchard was identified by video recorders, and the sugar accumulation value, leaf burn area, and chlorophyll fluorescence value of peach trees in each backward growth area in the orchard were obtained. The appearance evaluation index R of peach trees in each backward growth area in the orchard was analyzed. f, peach leaf transpiration risk index T in each backward growth area in the orchard f and the photosynthetic evaluation index Y of peach leaves in each growth lagging area in the orchard f , and then analyze the light environment compliance index of peach trees in each growth lagging area in the orchard. The specific calculation formula is: f =R f +T f +Y f .

[0044] It should be noted that the sugar accumulation value, leaf burn area and chlorophyll fluorescence value of peach trees in each lagging growth area in the orchard were obtained through image processing technology and chlorophyll fluorescence instrument detection.

[0045] In a specific embodiment of the present invention, the appearance evaluation index of peach trees in each backward growth area in the orchard is analyzed by the following specific analysis method: by performing image recognition on each backward growth peach tree area in the orchard, the contour data of each backward growth peach tree area in the orchard is obtained, and then the scattered area of ​​peach branches in each backward growth area in the orchard is extracted, and the scattered reference area of ​​branches in the peach tree area in the orchard is extracted from the database, and the peach tree morphology evaluation index in each backward growth area in the orchard is analyzed, and the specific calculation formula is: Among them, h f It is represented as the branch dispersion area of ​​peach trees in the fth lagging growth area in the orchard, and h' is represented as the branch dispersion reference area of ​​peach trees in the orchard.

[0046] Based on the obtained cumulative sugar values ​​of peach trees in each backward growth area in the orchard, and extracting the cumulative sugar reference value of peach trees in the orchard from the database, the color evaluation index of peach trees in each backward growth area in the orchard was analyzed, and the specific calculation formula is: Among them, g f It is expressed as the cumulative sugar value of peach trees in the fth lagging growth area in the orchard, and g' is expressed as the cumulative reference value of sugar for peach trees in the orchard.

[0047] The peach tree appearance evaluation index of each growth lagging area in the orchard was analyzed, and the specific calculation formula was: R f =Z f ×W f .

[0048] In a specific embodiment of the present invention, the leaf transpiration risk index of peach trees in each backward growth area in the orchard is specifically analyzed by the following method: based on the obtained leaf burn area of ​​peach trees in each backward growth area in the orchard, the leaf burn reference area of ​​peach trees in the orchard is extracted from the database, and then the leaf transpiration risk index of peach trees in each backward growth area in the orchard is analyzed, and the specific calculation formula is: Wherein, e represents the leaf burn area of ​​peach trees in the fth lagging growth area in the orchard, and e' represents the leaf burn reference area of ​​peach trees in the orchard.

[0049] In a specific embodiment of the present invention, the photosynthetic evaluation index of peach leaves in each backward growth area in the orchard is specifically analyzed by: detecting the carbon dioxide concentration in each backward growth area of ​​the peach tree in the orchard to obtain the carbon dioxide value of each backward growth area of ​​the peach tree in the orchard, and based on the obtained chlorophyll fluorescence value of the peach tree in each backward growth area in the orchard, extracting the chlorophyll fluorescence reference value of the peach tree in the orchard and the area of ​​each backward growth area of ​​the peach tree in the orchard from the database, and then analyzing the leaf photosynthetic evaluation index of the peach tree in each backward growth area in the orchard, and the specific calculation formula is: Where u represents the chlorophyll fluorescence value of the peach tree in the fth growth lagging area in the orchard, u' represents the chlorophyll fluorescence reference value of the leaf burn of the peach tree in the orchard, and B f It is expressed as the carbon dioxide value of peach trees in the fth growth lagging area in the orchard, B f ' represents the area of ​​peach trees in the fth growth lagging zone in the orchard.

[0050] It should be noted that the carbon dioxide values ​​in each area with lagging peach trees in the orchard were obtained through meteorological measurement instruments.

[0051] In a specific embodiment of the present invention, the illumination adjustment is performed on the peach trees in each backward growth area in the orchard, and the specific analysis method is as follows: based on the obtained illumination environment compliance index of the peach trees in each backward growth area in the orchard, the illumination environment compliance index of the peach trees in each backward growth area in the orchard is compared with the illumination environment compliance index threshold of the peach trees in each backward growth area in the orchard stored in the database; if the illumination environment compliance index of the peach trees in a certain backward growth area in the orchard is less than the illumination environment compliance index threshold, then the illumination intensity is set. Output the additional illumination duration q corresponding to the specified growth lagging area, where q' represents the reference additional illumination duration corresponding to the index threshold of the peach tree illumination environment in each growth lagging area in the orchard stored in the database, q _0 ,q _1 They respectively represent the additional time corresponding to the predefined unit increase of the light environment compliance index of the peach trees in each lagging growth area in the orchard, and the reduced time corresponding to the unit reduction of the light environment compliance index of the peach trees in each lagging growth area in the orchard.

[0052] Reference Figure 2 As shown, the present invention provides a method for an orchard lighting control system based on data recognition, comprising: step one, light intensity data recognition: by dividing the peach trees in the orchard into regions, obtaining the peach tree regions in the orchard, and analyzing the nutritional growth compliance index of the peach trees in each region in the orchard.

[0053] Step 2, identification of lighting environment data: Based on the obtained peach tree nutritional growth compliance index in each area of ​​the orchard, screen the lagging growth areas in the orchard, obtain the geographical environment of the peach trees in each lagging growth area in the orchard, and then analyze the lighting environment compliance index of the peach trees in each lagging growth area in the orchard.

[0054] Step 3, lighting data control: Based on the obtained lighting environment compliance index of the peach trees in each lagging growth area in the orchard, the lighting of the peach trees in each lagging growth area in the orchard is adjusted to control the lighting duration and intensity.

[0055] It should be noted that the lighting environment compliance index threshold of peach trees in each lagging growth area in the orchard was obtained through historical data analysis.

[0056] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An orchard lighting control system based on data recognition, characterized in that: include: Light intensity data recognition module: By dividing the peach trees in the orchard into regions, the peach tree regions in the orchard are obtained, and the nutritional growth compliance index of the peach trees in each region of the orchard is analyzed; Lighting environment data identification module: based on the obtained peach tree nutrition growth compliance index in each area of ​​the orchard, screen the lagging growth areas in the orchard, obtain the peach geographical environment in each lagging growth area in the orchard, and then analyze the lighting environment compliance index of the peach trees in each lagging growth area in the orchard; Lighting data control module: Based on the obtained lighting environment compliance index of peach trees in various lagging growth areas in the orchard, the lighting of peach trees in various lagging growth areas in the orchard is adjusted to control the lighting duration and intensity.

2. The orchard lighting control system based on data recognition according to claim 1 is characterized in that: The nutrition growth index of peach trees in each area of ​​the orchard is in accordance with the specific analysis method as follows: Based on the obtained peach tree areas in the orchard, the phenological periods of each peach tree area in the orchard are detected by a camera and a scanning analyzer to obtain the light data of each phenological period of each peach tree area in the orchard, wherein the light data includes: the length of new shoots, the number of leaves and the leaf area of ​​each phenological period of each peach tree area in the orchard, and the fruit load assessment index Q of each peach tree area in the orchard is analyzed. mn and gas exchange assessment index W mn , and then analyze the nutrition growth compliance index of peach trees in each area of ​​the orchard. The specific calculation formula is: Among them, m represents the area number, n = 1, 2, ..., b, n represents the phenological period number, and b represents the number of phenological periods.

3. The orchard lighting control system based on data recognition according to claim 2 is characterized in that: The specific analysis method of the fruit load evaluation index of each peach tree area in the orchard at each phenological period is as follows: Based on the obtained new shoot lengths of each peach tree area in each phenological period in the orchard, and extracting the new shoot reference lengths of each peach tree in each phenological period in the orchard from the database, the fruit load assessment index of each peach tree area in each phenological period in the orchard was analyzed, and the specific calculation formula is: Among them, a mn It is expressed as the length of new shoots in the nth phenological period of the mth peach tree area in the orchard, a n ' represents the reference length of new shoots of peach trees in the orchard in the nth phenological period.

4. The orchard lighting control system based on data recognition according to claim 2 is characterized in that: The specific analysis method of the gas exchange evaluation index of each phenological period in each peach tree area in the orchard is as follows: Based on the obtained leaf quantity and leaf area of ​​each peach tree area in each phenological period in the orchard, the reference leaf quantity and leaf area of ​​each peach tree in each phenological period in the orchard were extracted from the database, and then the gas exchange evaluation index of each peach tree area in each phenological period in the orchard was analyzed. The specific calculation formula is: Among them, c mn It is represented by the number of leaves of peach trees in the mth area of ​​the orchard at the nth phenological period, c n ' represents the reference number of leaves of peach trees in the orchard at the nth phenological period, s mn It is represented by the leaf area of ​​peach trees in the mth area of ​​the orchard at the nth phenological period, s n ' represents the reference leaf area of ​​peach trees in the orchard at the nth phenological period.

5. The orchard lighting control system based on data recognition according to claim 1, characterized in that: The specific analysis method of the peach tree lighting environment compliance index in each backward growth area in the orchard is as follows: Based on the obtained peach tree vegetative growth compliance index of each area in the orchard, the peach tree vegetative growth compliance index of each area in the orchard is compared with the peach tree vegetative growth compliance index threshold value in the orchard stored in the database; if the peach tree vegetative growth compliance index of a certain area in the orchard is less than the peach tree vegetative growth compliance index threshold value in the orchard, the area in the orchard is recorded as a lagging growth area in the orchard, thereby obtaining the peach geographical environment data of each lagging growth area in the orchard; The geographical environment of peach trees in each backward growth area in the orchard was identified by video recorders, and the sugar accumulation value, leaf burn area, and chlorophyll fluorescence value of peach trees in each backward growth area in the orchard were obtained. The appearance evaluation index R of peach trees in each backward growth area in the orchard was analyzed. f , peach leaf transpiration risk index T in each backward growth area in the orchard f and the photosynthetic evaluation index Y of peach leaves in each growth lagging area in the orchard f , and then analyze the light environment compliance index of peach trees in each growth lagging area in the orchard. The specific calculation formula is: f =R f +T f +Y f .

6. The orchard lighting control system based on data recognition according to claim 5, characterized in that: The specific analysis method of the peach tree appearance evaluation index in each backward growth area in the orchard is as follows: By performing image recognition on each lagging peach tree area in the orchard, the contour data of each lagging peach tree area in the orchard is obtained, and then the branch and trunk dispersion area of ​​each lagging peach tree area in the orchard is extracted, and the branch and trunk dispersion reference area of ​​the peach tree area in the orchard is extracted from the database, and the peach tree morphology evaluation index of each lagging peach tree area in the orchard is analyzed. The specific calculation formula is: Among them, h f It is represented as the branch dispersion area of ​​peach trees in the fth lagging growth area in the orchard, and h' is represented as the branch dispersion reference area of ​​peach trees in the orchard; Based on the obtained cumulative sugar values ​​of peach trees in each backward growth area in the orchard, and extracting the cumulative sugar reference value of peach trees in the orchard from the database, the color evaluation index of peach trees in each backward growth area in the orchard was analyzed, and the specific calculation formula is: Among them, g f It is represented as the cumulative sugar value of peach trees in the fth growth lagging area in the orchard, and g' is represented as the cumulative reference value of sugar for peach trees in the orchard; The peach tree appearance evaluation index of each growth lagging area in the orchard was analyzed, and the specific calculation formula was: R f =Z f ×W f .

7. The orchard lighting control system based on data recognition according to claim 5, characterized in that: The specific analysis method of the peach leaf transpiration risk index in each backward growth area in the orchard is as follows: Based on the obtained leaf burn area of ​​peach trees in each backward growth area in the orchard, the leaf burn reference area of ​​peach trees in the orchard is extracted from the database, and then the leaf transpiration risk index of peach trees in each backward growth area in the orchard is analyzed. The specific calculation formula is: Wherein, e represents the leaf burn area of ​​peach trees in the fth lagging growth area in the orchard, and e' represents the leaf burn reference area of ​​peach trees in the orchard.

8. The orchard lighting control system based on data recognition according to claim 5, characterized in that: The specific analysis method of the photosynthetic evaluation index of peach leaves in each lagging growth area in the orchard is as follows: By detecting the carbon dioxide concentration in each lagging peach tree area in the orchard, the carbon dioxide value of each lagging peach tree area in the orchard is obtained, and based on the obtained peach chlorophyll fluorescence value of each lagging peach tree area in the orchard, the chlorophyll fluorescence reference value of the peach trees in the orchard and the area of ​​each lagging peach tree area in the orchard are extracted from the database, and then the leaf photosynthetic evaluation index of the peach trees in each lagging peach tree area in the orchard is analyzed. The specific calculation formula is: Where u represents the chlorophyll fluorescence value of the peach tree in the fth growth lagging area in the orchard, u' represents the chlorophyll fluorescence reference value of the peach tree leaf burn in the orchard, and B f It is expressed as the carbon dioxide value of peach trees in the fth growth lagging area in the orchard, B f ' represents the area of ​​peach trees in the fth growth lagging zone in the orchard.

9. The orchard lighting control system based on data recognition according to claim 1, characterized in that: The specific analysis method for adjusting the light intensity of peach trees in each lagging growth area in the orchard is as follows: Based on the obtained peach tree lighting environment compliance index of each backward growth area in the orchard, the peach tree lighting environment compliance index of each backward growth area in the orchard is compared with the peach tree lighting environment compliance index threshold of each backward growth area in the orchard stored in the database. If the lighting environment compliance index of the peach tree in a backward growth area in the orchard is less than the lighting environment compliance index threshold, the light intensity is set Output the additional illumination duration q corresponding to the specified growth lagging area, where q' represents the reference additional illumination duration corresponding to the index threshold of the peach tree illumination environment in each growth lagging area in the orchard stored in the database, q _0 ,q _1 They respectively represent the additional time corresponding to the predefined unit increase of the light environment compliance index of the peach trees in each lagging growth area in the orchard, and the reduced time corresponding to the unit reduction of the light environment compliance index of the peach trees in each lagging growth area in the orchard.

10. A method for executing the orchard lighting control system based on data recognition according to any one of claims 1 to 9, characterized in that: include: Step 1: Identification of light intensity data: By dividing the peach trees in the orchard into regions, the peach tree regions in the orchard are obtained, and the nutritional growth compliance index of the peach trees in each region of the orchard is analyzed; Step 2, Identification of light environment data: Based on the obtained peach tree nutritional growth compliance index in each area of ​​the orchard, screen each lagging growth area in the orchard, obtain the peach geographical environment of each lagging growth area in the orchard, and then analyze the peach tree light environment compliance index in each lagging growth area in the orchard; Step 3, lighting data control: Based on the obtained lighting environment compliance index of the peach trees in each lagging growth area in the orchard, the lighting of the peach trees in each lagging growth area in the orchard is adjusted to control the lighting duration and intensity.

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