Method and device for analyzing quality of mechanized transplanted seedlings

Abstract

The application provides a kind of mechanized transplanting seedling quality analysis method and device, the method includes: a plurality of soil physical property parameters are dimensionless, obtain the first dimensionless sequence, and in the case where a plurality of transplanting seedlings are mechanized transplanted by target soil, a plurality of transplanting quality evaluation indexes are dimensionless, obtain the second dimensionless sequence;The correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence is analyzed, and the correlation between the soil characteristics and the transplanting quality is obtained;Based on the stepwise regression analysis algorithm and significance test algorithm of statistical quantile, the correlation is regressed and analyzed, and the transplanting quality of the actual soil physical property is predicted by the empirical formula obtained by analysis. The method improves the efficiency of mechanized transplanting seedlings, and determines the suitable trend of plug seedlings in different soil environments.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of cultivation technology, in particular to a mechanical transplanted seedling quality analysis method and device. BACKGROUND

[0002] With the continuous expansion of vegetable planting area, mechanized operation is beneficial to improve the quality and yield of vegetable production, reduce labor input and improve operation efficiency.

[0003] In order to improve the survival rate of transplanted cabbage and other leafy vegetable seedlings, it is usually necessary to use regular plug trays for seeding and seedling raising, and to transplant after the growth state of the vegetable seedlings is relatively stable. The soil is used for planting the previous crops, which involves the use of a large amount of agricultural inputs such as pesticides, fertilizers, and agricultural films. After the previous crops are harvested, the soil will be left with weeds, stubble, insect eggs, grass seeds, green manure, and other substances, which seriously threaten the safety of the soil, crops, and the environment. Therefore, a lot of tillage operations such as soil subsoiling, rotary tillage, ridging, and organic fertilizer application are carried out before transplanting to provide a suitable soil environment for the growth of seedlings.

[0004] In related technologies, research on mechanized seedling cultivation is mostly focused on the relationship between seedling phenotypic characteristics and transplanting device structure. However, soil disturbance caused by actual tillage operations can lead to interaction between the physical and chemical properties of the seedlings, which can hinder the quality of the mechanical operation and the growth of the seedlings, resulting in low survival rate of the seedlings in the soil after tillage operations, and further affecting the efficiency of mechanized transplanted seedlings. SUMMARY

[0005] The present application provides a mechanical transplanted seedling quality analysis method and device to solve the problem of low efficiency of mechanized transplanted seedlings in the prior art by studying the relationship between seedling phenotypic characteristics and transplanting device structure to cultivate seedlings, thereby improving the efficiency of mechanized transplanted seedlings and the survival rate of seedlings.

[0006] The present application provides a mechanical transplanted seedling quality analysis method, comprising:

[0007] The plurality of soil physical property parameters are dimensionless processed to obtain a first dimensionless sequence, and the plurality of transplanted quality evaluation indexes are dimensionless processed to obtain a second dimensionless sequence under the condition that the target soil completes the mechanized transplanting of the plurality of transplanted seedlings; wherein the first dimensionless sequence includes a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence includes a plurality of transplanted quality evaluation index corresponding dimensionless numbers;

[0008] The correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence is analyzed to obtain the correlation degree between the plurality of soil characteristics and the transplanted quality;

[0009] The stepwise regression analysis algorithm and the significance test algorithm based on statistical quantile are used to perform regression analysis on the multiple correlation degrees, to obtain an empirical formula, and based on the empirical formula, the transplanting quality of the transplanted seedlings is predicted according to actual soil physical properties.

[0010] According to the mechanical transplanted seedling quality analysis method provided by the application, the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence is analyzed to obtain the correlation degrees between the multiple soil properties and the transplanting quality, including:

[0011] According to the ranks obtained by sorting the elements in the first dimensionless sequence and the ranks obtained by sorting the elements in the second dimensionless sequence, the rank differences and the sum of squares of each target sample pair are obtained; each target sample pair includes a soil physical property parameter corresponding dimensionless number and a transplanting quality evaluation index corresponding dimensionless number.

[0012] According to the rank differences and the sum of squares of each target sample pair, the Spearman correlation coefficients between the soil health and the transplanting quality in each target sample are calculated.

[0013] The average of the Spearman correlation coefficients corresponding to the target samples is calculated to obtain the correlation degrees between the multiple soil properties and the transplanting quality.

[0014] According to the mechanical transplanted seedling quality analysis method provided by the application, the multiple transplanting quality evaluation indexes include a transplanting depth qualified rate, a missing seedling rate, a bare root rate and a retransplanting rate.

[0015] The dimensionless processing of the multiple transplanting quality evaluation indexes includes:

[0016] The multiple transplanting quality evaluations are subjected to Z-score standardization dimensionless processing by using the following formula:

[0017] ;

[0018] Wherein, is the average of , the set of multiple transplanting quality evaluation indexes, is the standard deviation of i ; n is the number of transplanting quality evaluation indexes, k is the sampling number, is the i th transplanting quality evaluation index, i is the j th sampling value of the i th transplanting quality evaluation index, k is the dimensionless value of . ​

[0019] According to the mechanical transplanted seedling quality analysis method provided by the application, the plurality of soil physical property parameters include soil water content, soil surface layer hardness, soil sub-surface layer hardness and soil particle composition.

[0020] The non-dimensional processing of the plurality of soil physical property parameters includes:

[0021] The plurality of soil physical property parameters are non-dimensionally processed by using a membership function, and the membership function is as follows:

[0022] ;

[0023] Wherein, X is the plurality of soil physical property parameters, F (X) is X a corresponding non-dimensional number. X 1, X 2, X 3 and X 4 are four different critical values.

[0024] According to the mechanical transplanted seedling quality analysis method provided by the application, the plurality of soil physical property parameters further include soil bulk density, soil water content, soil surface layer hardness, sub-surface layer hardness and soil particle composition.

[0025] The plurality of soil physical property parameters are obtained by the following steps:

[0026] The soil water content is obtained from the target soil by using a drying method; the target soil bulk density is obtained from the target soil by using a cutting ring method; the soil surface layer hardness and the sub-surface layer hardness of the target soil are measured by using a hardness meter; and the soil particle composition of the target soil is measured by using a Malvern laser particle size analyzer.

[0027] According to the mechanical transplanted seedling quality analysis method provided by the application, the target soil includes brown soil, brown soil, sandy soil and yellow soil.

[0028] The target soil completes the ploughing and leveling operation by the following steps:

[0029] The target soil is ploughed and leveled on the brown soil, the brown soil, the sandy soil and the yellow soil, and a full data set is collected from the soil after the ploughing and leveling operation.

[0030] Each sample data in the full data set is subjected to data cleaning processing to obtain a new full data set.

[0031] The application further provides a mechanical transplanted seedling quality analysis device, which comprises:

[0032] A dimensionless calculation module is configured to perform dimensionless processing on a plurality of soil physical property parameters to obtain a first dimensionless sequence, and perform dimensionless processing on a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence in a case where a plurality of transplanted seedlings are mechanically transplanted through target soil; wherein the first dimensionless sequence includes a plurality of soil physical property parameter corresponding dimensionless numbers; and the second dimensionless sequence includes a plurality of transplanting quality evaluation index corresponding dimensionless numbers.

[0033] A correlation analysis module is configured to analyze correlations between elements in the first dimensionless sequence and elements in the second dimensionless sequence to obtain a plurality of soil characteristics and transplanting quality correlations.

[0034] A regression analysis module is configured to perform regression analysis on the plurality of correlations based on a statistical quantile stepwise regression analysis algorithm and a significance test algorithm to obtain an empirical formula, and predict the transplanting quality of the transplanted seedlings according to actual soil physical properties based on the empirical formula.

[0035] The application further provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the mechanical transplanted seedling quality analysis method of any of the above when executing the computer program.

[0036] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executable on a processor to implement the mechanical transplanted seedling quality analysis method of any of the above.

[0037] The application further provides a computer program product including a computer program, wherein the computer program is executable on a processor to implement the mechanical transplanted seedling quality analysis method of any of the above.

[0038] The mechanical transplanted seedling quality analysis method and device provided by the application can quantify the correlation between farmland soil physical properties and seedling mechanical transplantation, realize the synergy of mechanical transplantation characteristics of different leafy seedlings and soil physical properties, improve the efficiency of mechanical transplantation of seedlings, and clearly define the suitable trend of plug seedling mechanical transplantation in different soil environments. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0040] Figure 1 is one of the process schematic diagram of the mechanical transplanting seedling quality analysis method provided by the present application.

[0041] Figure 2 is the coupling relationship schematic diagram of the physical properties of cultivated soil and the cabbage transplanting quality and the transplanting efficiency provided by the present application.

[0042] Figure 3 is the process schematic diagram two of the mechanical transplanting seedling quality analysis method provided by the present application.

[0043] Figure 4 is the structural schematic diagram of the mechanical transplanting seedling quality analysis device provided by the present application.

[0044] Figure 5 is the structural schematic diagram of the electronic device provided by the present application. DETAILED DESCRIPTION

[0045] In order to make the objects, technical solutions and advantages of the present application clearer, the following will combine the drawings in the present application to clearly and completely describe the technical solutions in the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0046] The following will combine Figures 1-4 to describe the mechanical transplanting seedling quality analysis method and device of the present application.

[0047] Figure 1 is one of the process schematic diagram of the mechanical transplanting seedling quality analysis method provided by the present application, as Figure 1 shown, the mechanical transplanting seedling quality analysis method comprises the following steps:

[0048] Step 110, dimensionless processing is performed on a plurality of soil physical property parameters to obtain a first dimensionless sequence, and dimensionless processing is performed on a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence in the case that the mechanical transplanting of a plurality of transplanting seedlings is completed through the target soil; wherein the first dimensionless sequence comprises a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence comprises a plurality of transplanting quality evaluation index corresponding dimensionless numbers.

[0049] In this step, the target soil is the planting soil of different leafy vegetable seedlings, for example, the target soil can be the planting soil of cabbage, spinach, lettuce or artichoke leafy vegetable seedlings.

[0050] Specifically, in the laboratory, the stones and plant residues and other sundries in the collected soil samples are removed, and the large soil clumps are kneaded, mixed, air-dried and ground to 0.25 mm, 1 mm or 2 mm sieve for soil physical property index determination; based on the cornell soil physical property parameter system, a plurality of physical indexes of the target soil are determined, which are soil bulk density, soil moisture content, soil surface hardness, soil sub-surface hardness and soil particle composition.

[0051] Specifically, the physical properties of the soil in the target soil are measured to obtain a plurality of soil physical property parameters, including: using the drying method to obtain the soil moisture content from the target soil; using the cutting ring method to obtain the soil bulk density from the target soil; using a hardness meter to measure the soil surface hardness and sub-surface hardness of the target soil; using a Malvern laser particle size analyzer to measure the soil particle composition of the target soil.

[0052] In this embodiment, the soil sub-surface is 10 cm to 20 cm from the ground, and the soil surface is 0 cm to 10 cm from the ground; the soil particle composition includes sand, silt and clay.

[0053] Specifically, the land is uniformly divided into n 10*50mm 2 size sampling areas, and the corresponding farmland soil physical property parameters include soil bulk density, soil moisture content, clay content, soil surface hardness, soil sub-surface hardness, silt content and sand content. The sequence X j is used to represent, wherein, j =1,2,3,4,5,6,7; X j is represented as:

[0054] ;

[0055] wherein, x j ( q ) is the sample data in the q th reference sequence, q =1,2,…, n .

[0056] In this embodiment, since there is no unified measurement unit between different farmland soil physical parameter indexes, each soil physical property parameter can be normalized to convert the evaluation index into a dimensionless number and be represented in subsequent calculation and quantization.

[0057] For example, the embodiment can normalize multiple soil physical property parameters by using membership functions; commonly used membership functions are divided into three types: S type, anti-S type and parabolic type.

[0058] In the embodiment, the mechanical transplanting operation standards for dry land can be referred to, and the cabbage transplanting agronomy is combined to determine the cabbage mechanized transplanting quality evaluation indexes as the transplanting depth qualified rate, the missing seedling rate, the bare root rate and the re-planting rate.

[0059] Specifically, the transplanting depth qualified rate refers to the distance from the main stem root of the seedling to the surface soil; according to the cabbage transplanting agronomy, the qualified transplanting depth of the transplanted seedling (plug seedling) is about 2-3 cm. h :

[0060] ;

[0061] Among them, N h represents the total number of qualified transplanting depth (plants), N represents the total number of measured plants (plants).

[0062] The missing planting of the transplanted seedling refers to the situation that theoretically should be planted but actually no seedlings, and the mechanical transplanting process exists the problem of missing seedlings caused by the soil blockage of the duckbill transplanter; the calculation method of the missing seedling rate is as follows:

[0063] ;

[0064] Among them, N lz is the number of missing seedling plants in the total number of plants; the calculation methods of the bare root rate L (%) and the re-planting rate C (%) are similar to the missing seedling rate, and the bare root rate is the ratio of the number of bare root (i.e. not planted into the soil, the root is exposed on the ground) seedlings to the total number of measured plants; the re-planting rate is the ratio of the number of re-root (i.e. multiple seedlings are planted in the same position) seedlings to the total number of measured plants.

[0065] In the embodiment, if the multiple transplanting quality evaluation indexes include the transplanting depth qualified rate, the missing seedling rate, the bare root rate and the re-planting rate, the multiple transplanting quality evaluation indexes can be represented as a sequence Y i :

[0066] ;

[0067] Among them, y i ( k ) is the sample data in each transplanting quality sequence, i is the number of transplanting quality indexes, k is the sampling number, i =1,2,3,4,​k = 1, 2, …, n .

[0068] In this embodiment, the evaluation indexes of different transplanting qualities are not the same in the unit of measurement. In this embodiment, the evaluation indexes of transplanting quality are normalized to convert the evaluation indexes into dimensionless numbers, and are used in subsequent calculation and quantitative representation.

[0069] In step 120, the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence is analyzed to obtain the correlation degree between the multiple soil properties and the transplanting quality.

[0070] In this step, the relationship between the soil physical property parameters and the transplanting quality evaluation indexes is quantitatively analyzed, and the mechanical transplanting quality and the transplanting efficiency evaluation index system of the plug seedlings are constructed in combination with the characteristics of the mechanical transplanting operation of the plug seedlings.

[0071] In this embodiment, the duckbill planter can be installed on the leafy vegetable transplanting machine for transplanting the plug seedlings, and the gray correlation analysis is performed on the soil physical properties and the transplanting quality according to the mechanism of the mechanical transplanting operation to study the adaptability of different physical properties of the cultivated soil to the mechanical planter.

[0072] In this embodiment, the regression relationship between the multiple soil physical property parameters and the multiple transplanting quality evaluation indexes is constructed, which can quantitatively analyze the relationship between the key soil physical properties, the transplanting quality constituent factors and the transplanting efficiency that affect the mechanical transplanting quality of the cabbage. For example, the Spearman correlation coefficient can be used to evaluate the monotonic relationship between the soil physical parameters and the transplanting quality to explore the key soil properties that affect the transplanting yield and quality of the cabbage in the cultivated soil, thereby providing a theoretical reference for the selection of the high-quality and efficient mechanical production mode of the cabbage plug seedlings.

[0073] Specifically, the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence is analyzed to obtain the correlation degree between the multiple soil properties and the transplanting quality, including: obtaining the rank difference and the sum of squares between multiple target sample pairs according to the ranks obtained by sorting the elements in the first dimensionless sequence and the ranks obtained by sorting the elements in the second dimensionless sequence; each target sample pair includes a soil physical property parameter corresponding dimensionless number and a transplanting quality evaluation index corresponding dimensionless number; calculating the Spearman correlation coefficient between the soil health and the transplanting quality in each target sample according to the rank difference and the sum of squares between each target sample pair; calculating the mean value of the Spearman correlation coefficients corresponding to each target sample to obtain the correlation degree between the multiple soil properties and the transplanting quality.

[0074] The soil properties are calculated by the following steps:X j Correlation between transplanting quality Y i and the degree of association:

[0075] (1) The elements in the above obtained dimensionless sequence are sorted and ranked.

[0076] For example, for the first dimensionless sequence , the data is sorted and ranked R ( x jq ); for the second dimensionless sequence , the data is sorted and ranked R ( y ik ).

[0077] (2) For each pair of samples x jq , y ik , the rank difference between the two samples and the sum of the square of the rank difference are calculated:

[0078] ;

[0079] ;

[0080] wherein is the rank difference, and is the sum of the square of the rank difference.

[0081] (3) For each pair of X j and Y i , the Spearman correlation coefficient between them is calculated by the following formula:

[0082] ;

[0083] wherein is the Spearman correlation coefficient; ∑ represents the summation of the samples, and 𝑛 is the number of samples.

[0084] (4) The average of the Spearman correlation coefficients is calculated, and the Spearman correlation degree between different soil physical parameters of cultivated land and the transplanting quality index is represented by the following formula:

[0085]

[0086] wherein is the correlation degree.

[0087] Step 130, based on the statistical quantile stepwise regression analysis algorithm and significance test algorithm, the multiple correlation degree regression analysis is carried out, the empirical formula is obtained, and the transplanting quality of the transplanted seedlings is predicted according to the actual soil physical properties based on the empirical formula.

[0088] It should be noted that, in the automatic cabbage transplanting, the transplanting quality is greatly affected by the physical parameters of the cultivated soil; however, due to the large number of cultivated soil physical parameters and transplanting quality evaluation indexes, the parameter processing has certain difficulty; in this embodiment, the stepwise regression algorithm based on statistical quantile is used to select the combination of cultivated soil parameters for transplanting quality prediction.

[0089] In this embodiment, the multiple correlation degree regression analysis is realized by the following steps:

[0090] (1) Taking each transplanting quality index as the dependent variable and the soil physical property parameters as the independent variable, respectively; calculating the Spearman correlation coefficient between each physical parameter and the dependent variable, and automatically determining a suitable threshold T by using the cross-validation method;

[0091] (2) After selecting the threshold, the physical parameters with a Spearman correlation degree higher than T are retained as the initial independent variables;

[0092] (3) Introduce all initial independent variables into the model, and gradually eliminate the variables with less influence or insignificant influence; after removing one variable each time, re-perform significance test to ensure that the remaining variables have significant influence on the dependent variable.

[0093] (4) In order to ensure that the independent variables in the regression equation have significant influence on the dependent variable, F test is performed at each step during the backward elimination process until only the physical parameters with significant influence on the transplanting quality are retained in the regression equation, and the empirical formula of the influence of each transplanting quality on the significant cultivated soil physical indexes is calculated, thereby realizing the calculation of different transplanting qualities.

[0094] In this embodiment, after obtaining the above empirical formula, the new transplanting depth qualified rate, the missing seedling rate, the bare root rate and the retransplanting rate are calculated according to the empirical formula, and then the transplanting quality of the transplanted seedlings in the mechanized operation is calculated and evaluated according to the new transplanting quality evaluation index.

[0095] The mechanical transplanting seedling quality analysis method provided by the embodiment of the application can quantize the correlation between the soil physical properties and the mechanical transplanting of seedlings, realize the cooperation of the mechanical transplanting characteristics of different leafy seedlings and the soil physical properties, improve the efficiency of the mechanical transplanting of seedlings, and clearly define the suitable trend of the mechanical transplanting of plug seedlings in different soil environments.

[0096] Further, in the step 110, the plurality of transplanting quality evaluation indexes include a transplanting depth qualified rate, a missing seedling rate, a bare root rate and a retransplanting rate; the dimensionless processing of the plurality of transplanting quality evaluation indexes includes: performing Z-score standardization dimensionless processing on the plurality of transplanting quality evaluation indexes by using the following formula:

[0097] ;

[0098] i k i k

[0099] The mechanical transplanting seedling quality analysis method provided by the embodiment of the application can convert different transplanting quality evaluation indexes into the same dimensionless expression form by using the above-mentioned Z-score standardization dimensionless processing method, realize the format alignment between the transplanting quality evaluation indexes and the soil physical property parameters, and improve the calculation and analysis efficiency of the transplanting quality evaluation indexes.

[0100] It should be noted that when the target soil physical property parameters include soil moisture content, soil bulk density, soil surface hardness, soil subsurface hardness and soil particle composition, the content of these indexes in a certain range can positively promote the mechanical transplanting of seedlings and the stable growth of crops; otherwise, when the content of the indexes is higher or lower than a certain range, the effect on the growth of crops and the mechanical transplanting will be poor.

[0101] ​​​​​​​​​​​​​Further, in the step 110, the plurality of soil physical property parameters include soil bulk density, soil moisture content, soil surface hardness, soil subsurface hardness and soil particle; the dimensionless processing of the plurality of soil physical property parameters includes: dimensionless processing of the plurality of soil physical property parameters by using a membership function, the membership function is as follows:

[0102] ;

[0103] wherein, X is the plurality of soil physical property parameters, F (X) is X the corresponding dimensionless number calculated by the membership function; X 1, X 2, X 3 and X 4 are four different critical values.

[0104] In this embodiment, the relationship between the above four critical values and the soil physical property parameters is shown in the following table 1:

[0105] Table 1: Relationship table of four critical values and eight different soil physical property parameters

[0106]

[0107] The mechanical transplanting seedling quality analysis method provided by the embodiment of the application converts different soil physical property parameters into the same dimensionless representation form by using the above membership function, realizes the format alignment between the transplanting quality evaluation index and the soil physical property parameters, and improves the calculation and analysis efficiency of the soil physical property parameters.

[0108] In some embodiments, the target soil includes brown soil, brown soil, sandy soil and yellow soil; the target soil completes the tillage operation by the following steps: the target soil is subjected to tillage operation on brown soil, brown soil, sandy soil and yellow soil, and a full data set is collected from the soil after the tillage operation; each sample data in the full data set is subjected to data cleaning processing to obtain a new full data set.

[0109] In this embodiment, the data cleaning includes outlier, missing value elimination and data format unification.

[0110] Taking transplanted seedlings as the example of the cabbage seedlings, four different types of farmland soil, i.e., brown soil, brown soil, sandy soil and yellow soil, in the main production area of cabbage are selected for the mechanized transplanting of the cabbage plug seedlings.

[0111] Table 2: Classification table of the types of the plowing operation of the test area

[0112]

[0113] In this embodiment, after the plowing operation is completed, three 5m*5m quadrats are arranged in each plot according to the ridge direction, and the surface (0-20cm) soil samples are collected in each quadrat, and three repetitions are collected at each sampling point; then the cabbage transplanting machine is used for the plug seedling transplanting, and the number of missing seedlings, the number of retransplanting seedlings, the number of bare roots in each sampling point is counted, and 45 transplanted seedlings are uniformly selected in each soil sampling point to measure the transplanting depth, the number of missing seedlings, the number of retransplanting seedlings and the number of bare roots.

[0114] Figure 2 is a schematic diagram of the coupling relationship between the physical properties of the plowing soil and the cabbage transplanting quality and the effective rate of transplanting provided by the present application, in which Figure 2 In the embodiment shown in the figure, by performing four different disturbance treatments on the target soil, seven soil physical property parameters, i.e., soil bulk density, soil moisture content, soil surface hardness, soil subsurface hardness, sand content, silt content and clay content, are obtained, and then the Spearman correlation coefficient between the seven soil physical property parameters and four different transplanting quality evaluation indexes (transplanting depth qualification rate, missing seedling rate, retransplanting rate and bare root rate) is calculated, and the Spearman correlation coefficient corresponding mean is calculated by successive regression to obtain a transplanting quality prediction empirical formula, and then the empirical formula calculates the transplanting depth qualification rate, the missing seedling rate, the retransplanting rate and the bare root rate according to the plowing soil physical parameter data set which has a significant influence on the transplanting quality, so as to realize the analysis and evaluation of the cabbage transplanting quality.

[0115] The mechanized transplanting seedling quality analysis method provided by the embodiment of the present application collects the full data set from the soil after the plowing operation and performs data cleaning processing to obtain a new full data set, which provides reliable data for the subsequent calculation of the transplanting quality evaluation index.

[0116] Figure 3 is a second schematic diagram of the flow of the mechanized transplanting seedling quality analysis method provided by the present application, in which Figure 3In the illustrated embodiment, a method for quality analysis of mechanized transplanted seedlings is further implemented through the following steps: 1. Tillage operations are carried out in the experimental area, and soil samples are collected after the tillage operations for testing to establish a full dataset. Each sample set includes the physical properties of the initially selected tillage soil and its corresponding data, and several sample data are cleaned; 2. After the tillage operations are completed in the experimental area, mechanized transplanting of cabbage plug seedlings is carried out. The transplanting machine is equipped with a duckbill transplanter, and the total number of transplanted seedlings, the transplanting depth of seedlings after transplanting, the number of bare-root seedlings, the number of replanted seedlings, and the number of bare-root seedlings are collected. 1. Establish a transplanting quality dataset and clean several sample data. 2. Normalize the relevant factors in the minimum dataset using the membership function, and calculate the correlation coefficient between the cultivated land soil physical property dataset and the transplanting quality dataset using Spearman correlation coefficient and improved stepwise regression method. Construct a cultivated land soil physical parameter dataset that has a significant impact on transplanting quality, and construct a prediction empirical formula. 3. Calculate the transplanting depth qualification rate, missed planting rate, double root rate and bare root rate based on the cultivated land soil physical parameter dataset that has a significant impact on transplanting quality.

[0117] The mechanized transplanted seedling quality analysis device provided by the present invention will be described below. The mechanized transplanted seedling quality analysis device described below can be referred to in correspondence with the mechanized transplanted seedling quality analysis method described above.

[0118] Figure 4 This is a schematic diagram of the structure of the mechanized transplanted seedling quality analysis device provided by the present invention, as shown below. Figure 4 As shown, the mechanized transplanted seedling quality analysis device includes: a dimensionless calculation module 410, a correlation analysis module 420, and a regression analysis module 430.

[0119] The dimensionless calculation module 410 is used to perform dimensionless processing on multiple soil physical property parameters to obtain a first dimensionless sequence, and to perform dimensionless processing on multiple transplanting quality evaluation indicators to obtain a second dimensionless sequence when multiple transplanted seedlings are mechanically transplanted through the target soil; wherein, the first dimensionless sequence includes dimensionless numbers corresponding to multiple soil physical property parameters; the second dimensionless sequence includes dimensionless numbers corresponding to multiple transplanting quality evaluation indicators;

[0120] The correlation analysis module 420 is used to analyze the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence to obtain the correlation between multiple soil characteristics and transplanting quality.

[0121] The regression analysis module 430 is used to perform regression analysis on multiple correlations based on the stepwise regression analysis algorithm and the significance test algorithm based on the statistical quantile, to obtain empirical formulas, and to predict the transplanting quality of transplanted seedlings based on the actual soil physical properties according to the empirical formulas.

[0122] The mechanical transplanted seedling quality analysis device provided by the embodiment of the application can quantize the correlation between the soil physical properties and the mechanical transplanted seedlings, realize the cooperation between the mechanical transplanted characteristics of different leafy seedlings and the soil physical properties, improve the efficiency of the mechanical transplanted seedlings, and clearly define the suitable trend of the duck-billed mechanical transplanted plug seedlings in different soil environments.

[0123] Figure 5 is a structural schematic diagram of an electronic device provided by the application, as shown in Figure 5 The electronic device can include a processor 510, a communications interface 520, a memory 530 and a communications bus 540, wherein the processor 510, the communications interface 520 and the memory 530 complete the communication with each other through the communications bus 540. The processor 510 can call the logical instructions in the memory 530 to execute the mechanical transplanted seedling quality analysis method, which includes: performing the dimensionless processing on a plurality of soil physical property parameters to obtain a first dimensionless sequence, and performing the dimensionless processing on a plurality of transplanted seedling quality evaluation indexes to obtain a second dimensionless sequence in the case that the mechanical transplanted seedlings are completed through the target soil; wherein the first dimensionless sequence includes a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence includes a plurality of transplanted seedling quality evaluation index corresponding dimensionless numbers; analyzing the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence to obtain a plurality of soil characteristics and transplanted seedling quality correlation degrees; performing the regression analysis on the plurality of correlation degrees based on the stepwise regression analysis algorithm and the significance test algorithm of the statistical quantile to obtain an empirical formula, and predicting the transplanted seedling quality based on the actual soil physical properties according to the empirical formula.

[0124] In addition, the logic instructions in the memory 530 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0125] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor, so that the computer can execute the mechanized transplanting seedling quality analysis method provided by the above method, which comprises: dimensionless processing a plurality of soil physical property parameters to obtain a first dimensionless sequence, and dimensionless processing a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence in the case that the target soil completes the mechanized transplanting of a plurality of transplanting seedlings; wherein the first dimensionless sequence comprises a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence comprises a plurality of transplanting quality evaluation index corresponding dimensionless numbers; analyzing the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence to obtain the correlation degree between a plurality of soil characteristics and transplanting quality; performing regression analysis on a plurality of correlation degrees based on a stepwise regression analysis algorithm and a significance test algorithm of statistical quantile to obtain an empirical formula, and predicting the transplanting quality of the transplanting seedlings according to the actual soil physical properties based on the empirical formula.

[0126] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the mechanized transplanting seedling quality analysis method provided by the above method, the method comprising: performing dimensionless processing on a plurality of soil physical property parameters to obtain a first dimensionless sequence, and performing dimensionless processing on a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence in the case that the plurality of transplanting seedlings are mechanically transplanted through the target soil; wherein the first dimensionless sequence comprises a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence comprises a plurality of transplanting quality evaluation index corresponding dimensionless numbers; analyzing the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence to obtain the correlation degree between a plurality of soil characteristics and transplanting quality; performing regression analysis on a plurality of correlation degrees based on a stepwise regression analysis algorithm and a significance test algorithm of statistical quantile to obtain an empirical formula, and predicting the transplanting quality of the transplanting seedlings according to the actual soil physical properties based on the empirical formula.

[0127] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0128] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0129] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of analyzing the quality of a mechanized transplanted seedling, characterized by, The method comprises the following steps: Dimensionless processing is performed on a plurality of soil physical property parameters to obtain a first dimensionless sequence, and dimensionless processing is performed on a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence in the case that a plurality of transplanted seedlings are mechanically transplanted through target soil; wherein the first dimensionless sequence comprises a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence comprises a plurality of transplanting quality evaluation index corresponding dimensionless numbers; Correlations between elements in the first dimensionless sequence and elements in the second dimensionless sequence are analyzed to obtain a plurality of soil characteristics and transplanting quality correlation degrees; Based on a statistical quantile stepwise regression analysis algorithm and a significance test algorithm, a plurality of correlation degrees are subjected to regression analysis to obtain an empirical formula, and based on the empirical formula, the transplanting quality of the transplanted seedlings is predicted according to actual soil physical properties; The step of analyzing correlations between elements in the first dimensionless sequence and elements in the second dimensionless sequence to obtain a plurality of soil characteristics and transplanting quality correlation degrees comprises: Based on ranks obtained by sorting elements in the first dimensionless sequence and ranks obtained by sorting elements in the second dimensionless sequence, rank differences and sum of squares between a plurality of target sample pairs are obtained; each target sample pair comprises a soil physical property parameter corresponding dimensionless number and a transplanting quality evaluation index corresponding dimensionless number; Based on the rank differences and sum of squares between each target sample pair, Spearman correlation coefficients between soil health and transplanting quality in each target sample are calculated; A mean value between the Spearman correlation coefficients corresponding to the target samples is calculated to obtain the plurality of soil characteristics and transplanting quality correlation degrees.

2. The mechanized transplanted seedling quality analysis method according to claim 1, characterized by, The plurality of transplanting quality evaluation indexes comprises transplanting depth qualification rate, seedling missing rate, bare root rate and retransplanting rate; The step of dimensionless processing a plurality of transplanting quality evaluation indexes comprises: Z-score standardization dimensionless processing is performed on the plurality of transplanting quality evaluation indexes by using the following formula: wherein, is Y i , Y i is a set of multiple transplanting quality evaluation indexes, is ; i is the number of transplanting quality evaluation indexes, k is the sampling number, y i (k) is the kth sampling value of the ith transplanting quality evaluation index, is a dimensionless value of y i (k).

3. The mechanized transplanted seedling quality analysis method according to claim 1, characterized by, The plurality of soil physical property parameters comprises soil bulk density, soil water content, soil surface layer hardness, soil sub-surface layer hardness and soil particle composition; The step of dimensionless processing a plurality of soil physical property parameters comprises: A membership function is used to perform dimensionless processing on the plurality of soil physical property parameters, and the membership function is shown in the following formula: Wherein, X is a plurality of soil physical property parameters, F(X) is a dimensionless number corresponding to X calculated by the membership function; X1, X2, X3 and X4 are four different critical values.

4. The mechanized transplanted seedling quality analysis method according to claim 1, characterized by, The plurality of soil physical property parameters further comprises soil water content, soil bulk density, soil surface layer hardness, sub-surface layer hardness and soil particle composition; The plurality of soil physical property parameters are obtained by the following steps: The soil moisture content is obtained from the target soil by using a drying method; the soil bulk density is obtained from the target soil by using a cutting ring method; the surface hardness and sub-surface hardness of the target soil are measured by using a hardness tester; and the soil particle composition of the target soil is measured by using a Malvern laser particle size analyzer.

5. The mechanized transplanted seedling quality analysis method according to claim 1, characterized by, The target soil includes brown soil, brown soil, sandy soil, and yellow soil. The target soil completes the tillage operation by the following steps: The target soil is subjected to the tillage operation, and a full data set is collected from the soil after the tillage operation. The sample data in the full data set is subjected to data cleaning processing to obtain a new full data set.

6. A mechanized transplanted seedling quality analysis device applying the mechanized transplanted seedling quality analysis method according to claim 1, characterized by, It includes: The dimensionless calculation module is used for dimensionless processing of a plurality of soil physical property parameters to obtain a first dimensionless sequence, and dimensionless processing of a plurality of transplanting quality evaluation indexes to obtain a second dimensionless sequence when the target soil completes the mechanized transplanting of a plurality of transplanted seedlings; wherein the first dimensionless sequence includes a plurality of soil physical property parameter corresponding dimensionless numbers; the second dimensionless sequence includes a plurality of transplanting quality evaluation index corresponding dimensionless numbers; The correlation analysis module is used for analyzing the correlation between each element in the first dimensionless sequence and each element in the second dimensionless sequence to obtain the correlation degree between a plurality of soil characteristics and transplanting quality. The regression analysis module is used for regression analysis of a plurality of correlation degrees based on a stepwise regression analysis algorithm and a significance test algorithm of statistical quantile to obtain an empirical formula, and predicts the transplanting quality of the transplanted seedlings according to the actual soil physical properties based on the empirical formula.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the mechanized transplanted seedling quality analysis method of any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the mechanized transplanted seedling quality analysis method of any one of claims 1 to 5.

9. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to realize the mechanized transplanted seedling quality analysis method of any one of claims 1 to 5.

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