A Populus euphratica seedling cultivation system

Abstract

This invention relates to the field of plant care technology and provides a poplar seedling cultivation system, comprising: a soil analysis module for analyzing soil information per unit area and evaluating the soil score of each unit area; a seed screening module for initial screening of poplar seeds and evaluating the sowing score of each seed; a seedling cultivation module for allocating poplar seeds with each sowing score to a unit area corresponding to the soil score, and providing seedling temperature and humidity conditions based on the sowing score; and a maintenance module for acquiring the height information of the poplar seedlings in real time, determining the growth level based on the height information, and setting control parameters for irrigation and nutrient units for each unit area based on the growth level. This invention achieves precise planting and personalized maintenance of poplar seedlings, helping to improve the growth efficiency and quality of poplar seedlings.

Description

Technical Field

[0001] This invention relates to the field of plant care technology, and more specifically, to a poplar seedling cultivation system. Background Technology

[0002] The poplar seedling cultivation system mainly includes seed collection, seed treatment, sowing, and maintenance. The seed collection stage is mainly responsible for collecting high-quality poplar seeds to improve the germination rate; the sowing stage mainly involves sowing the treated seeds into seedling trays.

[0003] While existing poplar seedling cultivation systems can achieve artificial propagation of poplar trees, they often suffer from low efficiency and unstable seedling results. Among these issues, seed quality, genetic characteristics, and environmental compatibility directly affect germination rates. If seeds originate from genetically unsuitable parents, they may lack the necessary characteristics to germinate under specific environmental conditions. Currently, it is difficult to effectively evaluate poplar seeds and conduct targeted analysis of the optimal growth environment.

[0004] Therefore, it is necessary to design a poplar seedling cultivation system to solve the problems of unstable seedling cultivation effect in the existing technology. Summary of the Invention

[0005] In view of this, the present invention proposes a poplar seedling cultivation system to solve the problems of unstable seedling cultivation effect in the prior art.

[0006] On the one hand, this invention proposes a poplar seedling cultivation system, comprising:

[0007] The soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area.

[0008] The seed screening module performs initial screening of Populus euphratica seeds and evaluates each Populus euphratica seed to generate a sowing score for each Populus euphratica seed.

[0009] The seedling module allocates poplar seeds of each sowing score to a unit area of ​​the corresponding soil score, and provides seedling temperature and humidity conditions based on the sowing score.

[0010] The maintenance module acquires the height information of the poplar seedlings in real time, determines the growth level based on the height information, and sets the control parameters of the irrigation unit and nutrient unit for each unit area based on the growth level.

[0011] Preferably, the soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area. The unit area is the basic seedling area for each Populus euphratica plant. Based on the basic seedling area, the seedling area is divided into multiple planting zones. Soil samples are randomly collected from each planting zone, with at least five samples collected. Each soil sample is uniformly mixed to generate a test sample. Standard soil analysis methods are used to analyze the key indicators and trace element content of the test sample. For each trace element, the content data is analyzed using standard quantities to obtain a weight value and set a corresponding first weight Ki. For iron, manganese, and zinc, a high-score weight Ka is assigned for Populus euphratica. s Where s = 1, 2, 3, and the high-resolution weight Ka of the Populus euphratica is... s It is obtained by calculation using the following formula:

[0012]

[0013] Where 1 < h s <1.5, K i Let K represent each term from i=1 to the i=n1th term. i Summation is performed, where n1 is the total number of the first weight Ki, and h s It is the weight value of the s-th trace element.

[0014] Preferably, the soil analysis module, which evaluates the soil score for each unit area, further includes:

[0015] The key indicators include salinity, moisture content, pH value, organic matter content, total nitrogen, total phosphorus, and total potassium. A corresponding standard threshold is set for each of these key indicators, and a second weight Cx is assigned when each key indicator falls within the standard threshold. For total nitrogen, total phosphorus, and total potassium, a low-weight Ca is assigned. s Where s = 1, 2, 3, and the low-score weight Ca of the poplar trees. s It is obtained by calculation using the following formula:

[0016]

[0017] Where 0.5 < J s <1, C X Represent each term C from x = 1 to the x = n2th term. X Summation is performed, where n2 is the total number of the second weight Cx, and J... s It is the weight value of the s-th key indicator.

[0018] Preferably, the soil analysis module, which evaluates the soil score for each unit area, further includes:

[0019] The soil score is denoted as M, and the soil score M is calculated using the following formula:

[0020]

[0021] The soil score M is compared with the preset first soil score M1 and second soil score M2, where M1 < M2, and the soil grade is determined based on the comparison results.

[0022] When M≤M1, the soil grade per unit area is determined to be P1;

[0023] When M1 < M ≤ M2, the soil grade per unit area is determined to be P2;

[0024] When M2 < M, the soil grade per unit area is determined to be P3;

[0025] Where 0 < P1 < P2 < P3.

[0026] Preferably, the seed screening module performs the initial screening by collecting parental information of Populus euphratica seeds to screen the seeds, and then screens and grades the evaluated Populus euphratica seeds, including:

[0027] The collection of parental information on Populus euphratica seeds includes assessing the stress resistance of parental Populus euphratica and generating a stress resistance coefficient RS.

[0028] The stress resistance coefficient RS is calculated as follows:

[0029]

[0030] Where α is the growth index, wα is its weight; β is the physiological index, wβ is its weight; and θ is the morphological adaptation index, wθ is its weight. As an indicator of survival rate and recovery ability, The weights are assigned to each indicator based on the plant's performance under adverse conditions. Each indicator is given a score ranging from 0 to 100, and the sum of the weights is 1. There are three pre-set standards for stress resistance: a first standard, a second standard, and a third standard. The first standard is greater than the second standard, and the second standard is greater than the third standard.

[0031] When the stress resistance coefficient RS is greater than the first stress resistance standard, it is recorded as a first-class Populus euphratica seed;

[0032] When the stress resistance coefficient RS is less than the first stress resistance standard but greater than the second stress resistance standard, it is recorded as a second-level Populus euphratica seed;

[0033] When the stress resistance coefficient RS is less than the second stress resistance standard but greater than the third stress resistance standard, it is recorded as a third-grade poplar seed;

[0034] If the assessed stress resistance coefficient RS is less than the third stress resistance criterion, it shall be screened out;

[0035] Among them, the quality of seeds is graded as follows: Grade 1 Populus euphratica seeds are of higher quality than Grade 2 Populus euphratica seeds, which are of higher quality than Grade 3 Populus euphratica seeds.

[0036] Preferably, the seedling raising module, which scores the retained poplar seeds for sowing, further includes:

[0037] For each of the first-grade poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit mass of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the first-grade poplar seeds is greater than that of the first-grade preset standard quality poplar seeds, its sowing score is set as the first standard high sowing score EA. When the quality of the first-grade poplar seeds is less than that of the first-grade preset standard quality seeds, its sowing score is set as the first standard low sowing score EB.

[0038] For each of the secondary poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit weight of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the secondary poplar seeds is greater than that of the secondary preset standard quality of poplar seeds, its sowing score is set to the second standard high sowing score EC. When the quality of the secondary poplar seeds is less than that of the secondary preset standard quality of seeds, its sowing score is set to the second standard low sowing score ED.

[0039] For each of the three-level poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit weight of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the three-level poplar seeds is greater than that of the three-level preset standard quality poplar seeds, its sowing score is set to the third standard high sowing score EE. When the quality of the three-level poplar seeds is less than that of the three-level preset standard quality seeds, its sowing score is set to the third standard low sowing score EF.

[0040] Furthermore, the order based on the seeding score is 0 < EF < ED < EB < 1 < EE < EC < EA < 2.

[0041] Preferably, the seedling module allocates Populus euphratica seeds of each sowing score to a unit area of ​​the corresponding soil score, including: allocating a first unit number Ya of Populus euphratica seeds to a unit area with soil grade P1; allocating a second unit number Yb of Populus euphratica seeds to a unit area with soil grade P2; and allocating a third unit number Yc of Populus euphratica seeds to a unit area with soil grade P3.

[0042] Among them, for the first unit number of Populus euphratica seeds Ya, the proportion of different sowing scores in the first unit number is EF:ED:EB:EE:EC:EA = 10%:10%:10%:20%:20%:30%;

[0043] Among them, for the second unit number Yb of Populus euphratica seeds, the proportion of different sowing scores in the second unit number is EF:ED:EB:EE:EC:EA = 10%:20%:20%:20%:20%:10%;

[0044] Among the Populus euphratica seeds with a third unit number Yc, the proportion of different sowing scores in the third unit number is EF:ED:EB:EE:EC:EA = 30%:20%:20%:10%:10%:10%.

[0045] Preferably, the seedling raising module provides seedling temperature and humidity conditions based on the sowing score, including:

[0046] Standard temperature and humidity conditions for Populus euphratica seedling cultivation are obtained. For each Populus euphratica seed sowing score, a temperature correction coefficient Rz and a humidity correction coefficient Nz are set, where z = 1, 2, 3, 4, 5, 6, and 0.8 < Rz < 1.2, 0.9 < Nz < 1.1. The standard temperature conditions are corrected according to the temperature correction coefficient Rz to generate the seedling cultivation temperature conditions; the standard humidity conditions are corrected according to the humidity correction coefficient Nz to generate the seedling cultivation humidity conditions.

[0047] The seedling temperature and humidity conditions for each unit area are obtained by weighting the different sowing scores in each unit area according to the proportion of each sowing score and the corresponding correction coefficient.

[0048] Preferably, the maintenance module acquires the height information of the poplar seedlings in real time and determines the growth level based on the height information, including:

[0049] The height U of the poplar seedling is obtained, and the height U of the poplar seedling is compared with the preset heights U1 of the first poplar seedling and U2 of the second poplar seedling, where U1 < U2. The growth level is determined based on the comparison result.

[0050] When U≤U1, the growth level of the poplar seedling is determined to be ZS1;

[0051] When U1 < U ≤ U2, the growth grade of the poplar seedling is determined to be ZS2;

[0052] When U2 < U, the growth grade of the poplar seedling is determined to be ZS3;

[0053] Where 0 < ZS1 < ZS2 < ZS3.

[0054] Preferably, the maintenance module, based on the growth level, calibrates the control parameters of the irrigation unit and nutrient unit for each unit area, including:

[0055] Irrigation units and nutrient units are set up on each unit area. The growth level of each Populus euphratica seedling on each unit area is obtained, where the number of Populus euphratica seedlings with growth level ZS1 is denoted as OP1, the number of Populus euphratica seedlings with growth level ZS2 is denoted as OP2, and the number of Populus euphratica seedlings with growth level ZS3 is denoted as OP3. The average growth level on this unit area is calculated.

[0056] When the soil grade per unit area is P1, the average plant growth grade is L1, which is calculated using the following formula:

[0057]

[0058] Where OP1+OP2+OP3=Ya;

[0059] When the soil grade per unit area is P2, the average plant growth grade is L2, which is calculated using the following formula:

[0060]

[0061] Wherein, OP1 + OP2 + OP3 = Yb;

[0062] When the soil grade per unit area is P3, the average plant growth grade is L3, which is calculated using the following formula:

[0063]

[0064] Where OP1+OP2+OP3=Yc;

[0065] When the average growth level L1 is greater than ZS1, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit. When the average growth level L1 is less than ZS1, the control parameters of the irrigation unit and the nutrient unit are optimized.

[0066] When the average growth level L2 is greater than ZS2, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L2 is less than ZS2, the control parameters of the irrigation unit and the nutrient unit are optimized.

[0067] When the average growth level L3 is greater than ZS3, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L3 is less than ZS3, the control parameters of the irrigation unit and the nutrient unit are optimized.

[0068] The control parameters of the irrigation unit include the irrigation frequency and the amount of irrigation; the control parameters of the nutrient unit include adjusting the type of fertilizer, the amount of fertilizer, and the frequency of fertilizer application.

[0069] Compared with existing technologies, the beneficial effects of this invention are as follows: by analyzing and evaluating soil information for each unit area, and by screening and evaluating Populus euphratica seeds, the most suitable seeds can be planted in the most suitable soil, realizing the practice of precision agriculture; the seedling module can provide suitable seedling temperature and humidity conditions based on the sowing score, creating the optimal environment for the growth of Populus euphratica seedlings; the maintenance module can acquire the height information of Populus euphratica seedlings in real time, and judge the growth status of Populus euphratica seedlings based on the height information, and then calibrate the control parameters of the irrigation unit and nutrient unit according to the growth status, realizing personalized management of Populus euphratica seedlings on each unit area; through precise seed screening, soil scoring, suitable seedling conditions, and personalized maintenance, this system helps to improve the growth efficiency and quality of Populus euphratica seedlings. Attached Figure Description

[0070] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0071] Figure 1 This is a functional block diagram of the Populus euphratica seedling cultivation system provided in an embodiment of the present invention. Detailed Implementation

[0072] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0073] Processing poplar seeds is a meticulous process that requires following specific steps to ensure seed quality and viability. The following is a detailed explanation of how to process poplar seeds and the technical approach used in this embodiment in practical applications:

[0074] Collection: Select healthy, disease-free poplar trees as mother trees for seed collection. Collection should be carried out when the poplar capsules are mature, usually in autumn, from July to August. After the capsules mature, their color will change from green to yellow, and some capsules will split open at the top, revealing white fluff. At this time, the seeds are purplish-red to dark brown, and should be collected promptly.

[0075] Preparation and Impurity Removal: The collected capsules should be prepared and impurity removed. First, spread the capsules out on newspaper or clean paper to dry, promoting capsule splitting and seed ripening. Then, gently turn the capsules to release the seeds. Next, place the capsules with remaining pappus into a 60-mesh nylon mesh bag, vigorously rub them by hand, and then pat the mesh bag to release the seeds. Use a 60-mesh sieve to remove large impurities such as pappus, pericarp, and leaves, and then use a 100-mesh sieve to remove small impurities such as sand, ensuring seed purity. The pure seeds are then retained in the 100-mesh sieve.

[0076] Screening and grading: After impurities are removed, the seeds are screened to remove substandard seeds, such as damaged, diseased, or immature seeds. In addition, seeds can be graded based on their appearance, size, and other characteristics to select higher-quality seeds for storage or sowing.

[0077] Storage: Place the treated seeds in a seed storage bottle or centrifuge tube, then add an appropriate amount of color-changing silica gel granules to keep the seeds dry. The size of the seed storage container depends on the amount of seeds. Store in a refrigerator at 4°C for later use. Under these storage conditions, Populus euphratica seeds can maintain their germination viability for a relatively long time. The dried blue silica gel granules will turn pink to colorless after absorbing water. During seed storage, the silica gel granules can be replaced as needed based on their color change to maintain seed dryness.

[0078] The technical concept of this invention is to ensure that the highest quality seeds are used when sowing by reasonably screening and grading poplar seeds, thereby improving the survival rate, growth rate and overall health of poplar seedlings. Furthermore, customized environmental selection is carried out based on the seed conditions. This process helps to optimize resource utilization, reduce costs and increase the success rate of afforestation projects.

[0079] See Figure 1 As shown, this embodiment proposes a poplar seedling cultivation system, including:

[0080] The soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area.

[0081] The seed screening module performs initial screening of Populus euphratica seeds and evaluates each Populus euphratica seed to generate a sowing score for each seed.

[0082] The seedling module allocates poplar seeds of each sowing score to a unit area of ​​the corresponding soil score, and provides seedling temperature and humidity conditions based on the sowing score.

[0083] The maintenance module acquires real-time height information of poplar seedlings, determines the growth level based on the height information, and sets control parameters for irrigation and nutrient units for each unit area based on the growth level.

[0084] Understandably, by analyzing and evaluating soil information for each unit area, and by screening and evaluating poplar seeds, the most suitable seeds can be planted in the most suitable soil, realizing the practice of precision agriculture. The seedling module can provide suitable seedling temperature and humidity conditions based on the sowing score, creating the optimal environment for the growth of poplar seedlings. The maintenance module can obtain the height information of poplar seedlings in real time, judge the growth status of the seedlings based on the height information, and then calibrate the control parameters of the irrigation and nutrient units based on the growth status, realizing the automated maintenance of poplar seedlings on each unit area. Through precise seed screening, soil scoring, suitable seedling conditions, and automated maintenance, this system helps to improve the growth efficiency and quality of poplar seedlings.

[0085] In some embodiments of this application, the soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area. The unit area is the basic seedling area for each Populus euphratica plant. Based on the basic seedling area, the seedling area is divided into multiple planting zones. Soil samples are randomly collected from each planting zone, with at least five soil samples collected. Each soil sample is uniformly mixed to generate a test sample. Standard soil analysis methods are used to analyze the key indicators and trace element content of the test sample. For each trace element, the content data is analyzed using standard quantities to obtain a weight value and set a corresponding first weight Ki. For iron, manganese, and zinc, a high-score weight Ka is set for Populus euphratica. s Where s = 1, 2, 3, and the high-scoring weight Ka of Populus euphratica is... s It is obtained by calculation using the following formula:

[0086]

[0087] Where 1 < h s <1.5, K i Let K represent each term from i=1 to the i=n1th term. i Summation is performed, where n1 is the total number of the first weight Ki, and hs It is the weight value of the s-th trace element.

[0088] Specifically, by randomly collecting at least five soil samples from each planting area and then uniformly mixing these samples to generate the test sample, more accurate soil information can be obtained. This method can reduce errors caused by differences in soil sample collection locations; by analyzing the key indicators and trace element content of the test sample using standard soil analysis methods, comprehensive soil information can be obtained, thus more accurately assessing the soil score per unit area; by assigning high weights to iron, manganese, and zinc among the trace elements for Populus euphratica, planting decisions can be optimized, thus being more conducive to the growth of Populus euphratica; through precise soil analysis, comprehensive soil assessment, and optimized planting decisions, this system helps improve the growth efficiency and quality of Populus euphratica seedlings.

[0089] In some embodiments of this application, the soil analysis module, which evaluates the soil score per unit area, further includes:

[0090] Key indicators include salinity, moisture content, pH value, organic matter content, total nitrogen, total phosphorus, and total potassium. A corresponding standard threshold is set for each key indicator, and a second weight Cx is assigned when each key indicator falls within the standard threshold. For total nitrogen, total phosphorus, and total potassium, a low-weight Ca is assigned. s Where s = 1, 2, 3, and the low-score weight Ca of Populus euphratica is... s It is obtained by calculation using the following formula:

[0091]

[0092] Where 0.5 < J s <1, C X Represent each term C from x = 1 to the x = n2th term. X Summation is performed, where n2 is the total number of the second weight Cx, and J... s It is the weight value of the s-th key indicator.

[0093] Understandably, in addition to the analysis of trace element content, the analysis also includes key indicators such as salinity, moisture content, pH value, organic matter content, total nitrogen, total phosphorus, and total potassium. This provides more comprehensive soil information, helping to more accurately assess the soil score per unit area. By assigning lower weights to total nitrogen, total phosphorus, and total potassium among the key indicators for poplar trees, planting decisions can be further optimized. This optimization can improve the growth efficiency and quality of poplar seedlings. Through in-depth soil analysis and precise planting decisions, this system helps improve the growth efficiency and quality of poplar seedlings.

[0094] In some embodiments of this application, the soil analysis module, which evaluates the soil score per unit area, further includes:

[0095] The soil score is denoted as M, and the soil score M is calculated using the following formula:

[0096]

[0097] The soil score M is compared with the preset first soil score M1 and second soil score M2, where M1 < M2, and the soil grade is determined based on the comparison results.

[0098] When M≤M1, the soil grade per unit area is determined to be P1;

[0099] When M1 < M ≤ M2, the soil grade per unit area is determined to be P2;

[0100] When M2 < M, the soil grade per unit area is determined to be P3;

[0101] Where 0 < P1 < P2 < P3.

[0102] Understandably, by calculating and comparing soil scores (M) using formulas, the soil grade per unit area can be determined more accurately. This rating method can more accurately reflect the actual soil conditions, thus helping to formulate more precise planting strategies. By dividing the soil into three grades—P1, P2, and P3—more detailed soil management is possible. For example, lower-grade soils may require improvement measures, while higher-grade soils can be prioritized for planting. Through more accurate soil rating and more meticulous soil management, planting decisions can be optimized, thereby improving the growth efficiency and quality of poplar seedlings.

[0103] In some embodiments of this application, the seed screening module performs initial screening by collecting parental information of Populus euphratica seeds to screen the seeds, and evaluates and grades the Populus euphratica seeds, including:

[0104] The collection of parental information on Populus euphratica seeds includes assessing the stress resistance of parental Populus euphratica and generating the stress resistance coefficient RS.

[0105] The stress resistance coefficient RS is calculated as follows:

[0106]

[0107] Where α is the growth index, wα is its weight; β is the physiological index, wβ is its weight; and θ is the morphological adaptation index, wθ is its weight. As an indicator of survival rate and recovery ability, The weights are assigned to each indicator based on the plant's performance under adverse conditions. Each indicator is given a score ranging from 0 to 100, and the sum of the weights is 1. There are three pre-set standards for stress resistance: a first standard, a second standard, and a third standard. The first standard is greater than the second standard, and the second standard is greater than the third standard.

[0108] When the stress resistance coefficient RS is greater than the first stress resistance standard, it is recorded as a first-class Populus euphratica seed;

[0109] When the stress resistance coefficient RS is less than the first stress resistance standard but greater than the second stress resistance standard, it is recorded as a second-level Populus euphratica seed;

[0110] When the stress resistance coefficient RS is less than the second stress resistance standard but greater than the third stress resistance standard, it is recorded as a third-level Populus euphratica seed;

[0111] If the assessed stress resistance coefficient RS is less than the third stress resistance criterion, it shall be screened out.

[0112] Among them, the quality of seeds is graded as follows: Grade 1 Populus euphratica seeds are of higher quality than Grade 2 Populus euphratica seeds, which are of higher quality than Grade 3 Populus euphratica seeds.

[0113] It is understandable that grading poplar seeds based on parental attributes and selecting parents with fast growth rates and tall stature will result in offspring seeds exhibiting faster growth rates and higher timber yields under the same growing conditions. Furthermore, if parents thrive under adverse conditions such as drought and salinity, their seeds will inherit these resistances, leading to higher survival rates and growth performance in harsh environments. This embodiment, by selecting different parents, increases the genetic diversity of seed batches, which is crucial for resisting pests and diseases and adapting to environmental changes. Selecting parents that excel in soil stabilization and water retention will likely result in offspring seeds that play a better role in ecological engineering. Using screened seeds can improve the success rate of afforestation and reduce the costs of replanting and maintenance.

[0114] In some embodiments of this application, the seedling raising module, which performs sowing scoring on the retained poplar seeds, further includes:

[0115] For each grade of Populus euphratica seed, a sampling evaluation is carried out. The sampling is carried out by weighing a unit mass of Populus euphratica seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the grade 1 Populus euphratica seed is greater than that of the grade 1 preset standard quality, its sowing score is set as the first standard high sowing score EA. When the quality of the grade 1 Populus euphratica seed is less than that of the grade 1 preset standard quality, its sowing score is set as the first standard low sowing score EB.

[0116] For each Grade II Populus euphratica seed, a sampling evaluation is conducted. The sampling is carried out by weighing a unit weight of Populus euphratica seeds to form an evaluation sample. Seeds are extracted from the sample and their quality is evaluated. When the quality of the Grade II Populus euphratica seed is greater than that of the Grade II preset standard quality, its sowing score is set to the second standard high sowing score EC. When the quality of the Grade II Populus euphratica seed is less than that of the Grade II preset standard quality, its sowing score is set to the second standard low sowing score ED.

[0117] For each Grade 3 Populus euphratica seed, a sampling evaluation is conducted. The sampling involves weighing a unit weight of Populus euphratica seeds to form an evaluation sample. Seeds are extracted from this sample and their quality is evaluated. When the quality of a Grade 3 Populus euphratica seed is greater than that of a Grade 3 Populus euphratica seed with a preset standard quality, its sowing score is set to the Grade 3 High Sowing Score EE. When the quality of a Grade 3 Populus euphratica seed is less than that of a Grade 3 Populus euphratica seed with a preset standard quality, its sowing score is set to the Grade 3 Low Sowing Score EF.

[0118] Furthermore, the order based on the seeding score is 0 < EF < ED < EB < 1 < EE < EC < EA < 2.

[0119] Understandably, sampling and evaluation of poplar seeds at each grade is necessary. Sampling involves weighing a unit mass of poplar seeds to form an evaluation sample, extracting seeds from this sample, conducting quality assessments, and assigning a sowing score based on the seed quality. This approach better reflects the actual quality of the seeds and provides a more refined basis for sowing decisions. By scoring poplar seeds for sowing, sowing strategies can be optimized. For example, seeds with higher scores can be prioritized for sowing, thereby improving overall seedling efficiency and quality. Through quality-based sowing scores and optimized sowing strategies, planting decisions can be improved, ultimately enhancing the growth efficiency and quality of poplar seedlings.

[0120] In some embodiments of this application, the seedling module allocates Populus euphratica seeds of each sowing score to a unit area of ​​the corresponding soil score, including: allocating a first unit number Ya of Populus euphratica seeds to a unit area with soil grade P1; allocating a second unit number Yb of Populus euphratica seeds to a unit area with soil grade P2; and allocating a third unit number Yc of Populus euphratica seeds to a unit area with soil grade P3.

[0121] Among them, for the first unit number Ya of Populus euphratica seeds, the proportion of different sowing scores in the first unit number is EF:ED:EB:EE:EC:EA = 10%:10%:10%:20%:20%:30%;

[0122] Among them, for the second unit number Yb of Populus euphratica seeds, the proportion of different sowing scores in the second unit number is EF:ED:EB:EE:EC:EA = 10%:20%:20%:20%:20%:10%;

[0123] Among the Populus euphratica seeds with a third unit number Yc, the proportions of different sowing scores in the third unit number are EF:ED:EB:EE:EC:EA = 30%:20%:20%:10%:10%:10%.

[0124] Understandably, allocating poplar seeds with different soil grades to corresponding unit areas based on soil grade and sowing score maximizes the growth potential of poplar seeds, thereby improving overall seedling efficiency and quality. Dynamically adjusting the allocation ratio of poplar seeds with different sowing scores according to different soil grades per unit area allows for better adaptation to changes in soil conditions, further optimizing seedling results. Through optimized planting allocation and dynamic seed allocation, planting decisions can be optimized, thereby improving the growth efficiency and quality of poplar seedlings.

[0125] In some embodiments of this application, the seedling raising module provides seedling temperature and humidity conditions based on the sowing score, including:

[0126] Standard temperature and humidity conditions for Populus euphratica seedling cultivation are obtained. For each Populus euphratica seed sowing score, a temperature correction coefficient Rz and a humidity correction coefficient Nz are set, where z = 1, 2, 3, 4, 5, 6, and 0.8 < Rz < 1.2, 0.9 < Nz < 1.1. The standard temperature conditions are corrected according to the temperature correction coefficient Rz to generate the seedling cultivation temperature conditions; the standard humidity conditions are corrected according to the humidity correction coefficient Nz to generate the seedling cultivation humidity conditions.

[0127] The seedling temperature and humidity conditions for each unit area are obtained by weighting the different sowing scores in each unit area according to the proportion of each sowing score and the corresponding correction coefficient.

[0128] In some embodiments of this application, the maintenance module acquires the height information of the poplar seedlings in real time and determines the growth level based on the height information, including:

[0129] Obtain the height U of the poplar seedling, compare the height U of the poplar seedling with the preset heights U1 of the first poplar seedling and U2 of the second poplar seedling, where U1 < U2, and determine the growth level based on the comparison results.

[0130] When U≤U1, the growth level of the poplar seedling is determined to be ZS1;

[0131] When U1 < U ≤ U2, the growth grade of the poplar seedling is determined to be ZS2;

[0132] When U2 < U, the growth grade of the poplar seedling is determined to be ZS3;

[0133] Where 0 < ZS1 < ZS2 < ZS3.

[0134] Understandably, by setting temperature and humidity correction coefficients based on the sowing score of each poplar seed, the system can provide personalized seedling temperature and humidity conditions for each unit area. This personalized growth environment helps to maximize the growth and development of poplar seedlings. The maintenance module acquires the height information of the poplar seedlings in real time and judges their growth level according to preset height standards. This precise growth monitoring can help to detect and address problems in plant growth early, ensuring the healthy growth of poplar seedlings. By combining temperature and humidity correction coefficients with height information to judge the growth level, the system achieves intelligent maintenance management. According to different growth conditions, the system can automatically adjust environmental conditions and management measures to provide the most suitable growth environment. Through personalized growth environment, precise growth monitoring, and intelligent maintenance management, the system can improve seedling efficiency and quality, ensuring the healthy growth of poplar seedlings and achieving the expected results.

[0135] In some embodiments of this application, the maintenance module calibrates control parameters for irrigation and nutrient units per unit area based on growth level, including:

[0136] Irrigation and nutrient units were set up on each unit area. The growth level of each Populus euphratica seedling on each unit area was obtained. The number of Populus euphratica seedlings with growth level ZS1 was recorded as OP1, the number of Populus euphratica seedlings with growth level ZS2 was recorded as OP2, and the number of Populus euphratica seedlings with growth level ZS3 was recorded as OP3. The average growth level on this unit area was calculated.

[0137] When the soil grade per unit area is P1, the average plant growth grade is L1, which is calculated using the following formula:

[0138]

[0139] Where OP1 + OP2 + OP3 = Ya;

[0140] When the soil grade per unit area is P2, the average plant growth grade is L2, which is calculated using the following formula:

[0141]

[0142] Wherein, OP1 + OP2 + OP3 = Yb;

[0143] When the soil grade per unit area is P3, the average plant growth grade is L3, which is calculated using the following formula:

[0144]

[0145] Where OP1+OP2+OP3=Yc;

[0146] When the average growth level L1 is greater than ZS1, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit. When the average growth level L1 is less than ZS1, the control parameters of the irrigation unit and the nutrient unit are optimized.

[0147] When the average growth level L2 is greater than ZS2, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L2 is less than ZS2, the control parameters of the irrigation unit and the nutrient unit should be optimized.

[0148] When the average growth level L3 is greater than ZS3, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L3 is less than ZS3, the control parameters of the irrigation unit and the nutrient unit should be optimized.

[0149] The control parameters for the irrigation unit include the frequency and amount of irrigation; the control parameters for the nutrient unit include adjusting the type, amount, and frequency of fertilizer application.

[0150] Understandably, adjusting the control parameters of irrigation and nutrient units based on the average growth level of poplar seedlings per unit area helps provide the most suitable maintenance conditions, thereby promoting the healthy growth of poplar seedlings. Dynamically adjusting maintenance measures based on the real-time growth level of the poplar seedlings allows for better adaptation to their growth needs, further improving seedling cultivation results. By calculating the average growth level and intelligently adjusting the control parameters of irrigation and nutrient units based on the calculation results, intelligent maintenance decisions are achieved. This intelligent management method significantly improves the efficiency and effectiveness of maintenance.

[0151] Compared with existing technologies, the beneficial effects of this invention are as follows: by analyzing and evaluating soil information for each unit area, and by screening and evaluating Populus euphratica seeds, the most suitable seeds can be planted in the most suitable soil, realizing the practice of precision agriculture; the seedling module can provide suitable seedling temperature and humidity conditions based on the sowing score, creating the optimal environment for the growth of Populus euphratica seedlings; the maintenance module can acquire the height information of Populus euphratica seedlings in real time, and judge the growth status of Populus euphratica seedlings based on the height information, and then calibrate the control parameters of the irrigation unit and nutrient unit according to the growth status, realizing personalized management of Populus euphratica seedlings on each unit area; through precise seed screening, soil scoring, suitable seedling conditions, and personalized maintenance, this system helps to improve the growth efficiency and quality of Populus euphratica seedlings.

[0152] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0153] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0154] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0155] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0156] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A poplar seedling cultivation system, characterized in that, include: The soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area. The seed screening module performs initial screening of Populus euphratica seeds and evaluates each Populus euphratica seed to generate a sowing score for each Populus euphratica seed. The seedling module allocates poplar seeds of each sowing score to a unit area of ​​the corresponding soil score, and provides seedling temperature and humidity conditions based on the sowing score. The maintenance module acquires the height information of the poplar seedlings in real time, determines the growth level based on the height information, and sets the control parameters of the irrigation unit and nutrient unit for each unit area based on the growth level. The soil analysis module analyzes soil information for each unit area and evaluates the soil score for each unit area. The unit area is the basic seedling area for each poplar tree. Based on this basic seedling area, the seedling area is divided into multiple planting zones. Soil samples are randomly collected from each planting zone, with at least five samples collected. These soil samples are then uniformly mixed to generate a test sample. Standard soil analysis methods are used to analyze the key indicators and trace element content of the test sample. For each trace element, the content data is analyzed using standard quantities to obtain a weight value and set a corresponding first weight Ki. For iron, manganese, and zinc, a high-score weight Ka is assigned for poplar trees. s Where s = 1, 2, 3, and the high-resolution weight Ka of the Populus euphratica is... s It is obtained by calculation using the following formula: Where 1 < h s <1.5, Let K represent each term from i=1 to the i=n1th term. i Summation is performed, where n1 is the total number of the first weight Ki, and h s It is the weight value of the s-th trace element; The soil analysis module, which evaluates the soil score for each unit area, also includes: The key indicators include salinity, moisture content, pH value, organic matter content, total nitrogen, total phosphorus, and total potassium. A corresponding standard threshold is set for each of these key indicators, and a second weight Cx is assigned when each key indicator falls within the standard threshold. For total nitrogen, total phosphorus, and total potassium, a low-weight Ca is assigned. s Where s = 1, 2, 3, and the low-score weight Ca of the poplar trees. s It is obtained by calculation using the following formula: Where 0.5 < J s <1, Represent each term C from x = 1 to the x = n2th term. X Summation is performed, where n2 is the total number of the second weight Cx, and J... s It is the weight value of the s-th key indicator; The soil analysis module, which evaluates the soil score for each unit area, also includes: The soil score is denoted as M, and the soil score M is calculated using the following formula: The soil score M is compared with the preset first soil score M1 and second soil score M2, where M1 < M2, and the soil grade is determined based on the comparison results. When M≤M1, the soil grade per unit area is determined to be P1; When M1 < M ≤ M2, the soil grade per unit area is determined to be P2; When M2 < M, the soil grade per unit area is determined to be P3; Where 0 < P1 < P2 < P3.

2. The Populus euphratica seedling cultivation system according to claim 1, characterized in that, The seed screening module performs the initial screening by collecting parental information of Populus euphratica seeds to screen the seeds, and then screens and grades the evaluated Populus euphratica seeds, including: The collection of parental information on Populus euphratica seeds includes assessing the stress resistance of parental Populus euphratica and generating a stress resistance coefficient RS. The stress resistance coefficient RS is calculated as follows: Where α is the growth index, wα is its weight; β is the physiological index, wβ is its weight; and θ is the morphological adaptation index, wθ is its weight. As an indicator of survival rate and recovery ability, The weights are assigned to each indicator based on the plant's performance under adverse conditions. Each indicator is given a score ranging from 0 to 100, and the sum of the weights is 1. There are three pre-set standards for stress resistance: a first standard, a second standard, and a third standard. The first standard is greater than the second standard, and the second standard is greater than the third standard. When the stress resistance coefficient RS is greater than the first stress resistance standard, it is recorded as a first-class Populus euphratica seed; When the stress resistance coefficient RS is less than the first stress resistance standard but greater than the second stress resistance standard, it is recorded as a second-level Populus euphratica seed; When the stress resistance coefficient RS is less than the second stress resistance standard but greater than the third stress resistance standard, it is recorded as a third-grade poplar seed; If the assessed stress resistance coefficient RS is less than the third stress resistance criterion, it shall be screened out; Among them, the quality of seeds is graded as follows: Grade 1 Populus euphratica seeds are of higher quality than Grade 2 Populus euphratica seeds, which are of higher quality than Grade 3 Populus euphratica seeds.

3. The Populus euphratica seedling cultivation system according to claim 2, characterized in that, The seedling cultivation module, which scores the retained poplar seeds for sowing, also includes: For each of the first-grade poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit mass of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the first-grade poplar seeds is greater than that of the first-grade preset standard quality poplar seeds, its sowing score is set as the first standard high sowing score EA. When the quality of the first-grade poplar seeds is less than that of the first-grade preset standard quality seeds, its sowing score is set as the first standard low sowing score EB. For each of the secondary poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit weight of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the secondary poplar seeds is greater than that of the secondary preset standard quality of poplar seeds, its sowing score is set to the second standard high sowing score EC. When the quality of the secondary poplar seeds is less than that of the secondary preset standard quality of seeds, its sowing score is set to the second standard low sowing score ED. For each of the three-level poplar seeds, a sampling evaluation is performed. The sampling is carried out by weighing a unit weight of poplar seeds to form an evaluation sample. Seeds in the sample are extracted and their quality is evaluated. When the quality of the three-level poplar seeds is greater than that of the three-level preset standard quality poplar seeds, its sowing score is set to the third standard high sowing score EE. When the quality of the three-level poplar seeds is less than that of the three-level preset standard quality seeds, its sowing score is set to the third standard low sowing score EF. Furthermore, the order based on the seeding score is 0 < EF < ED < EB < 1 < EE < EC < EA < 2.

4. The Populus euphratica seedling cultivation system according to claim 3, characterized in that, The seedling module allocates poplar seeds of each sowing score to a unit area of ​​the corresponding soil score, including: allocating a first unit number of poplar seeds Ya to a unit area with soil grade P1; allocating a second unit number of poplar seeds Yb to a unit area with soil grade P2; and allocating a third unit number of poplar seeds Yc to a unit area with soil grade P3. Among them, for the first unit number of Populus euphratica seeds Ya, the proportion of different sowing scores in the first unit number is EF:ED:EB:EE:EC:EA = 10%:10%:10%:20%:20%:30%; Among them, for the second unit number Yb of Populus euphratica seeds, the proportion of different sowing scores in the second unit number is EF:ED:EB:EE:EC:EA = 10%:20%:20%:20%:20%:10%; Among the Populus euphratica seeds with a third unit number Yc, the proportion of different sowing scores in the third unit number is EF:ED:EB:EE:EC:EA = 30%:20%:20%:10%:10%:10%.

5. The Populus euphratica seedling cultivation system according to claim 4, characterized in that, The seedling raising module provides seedling temperature and humidity conditions based on the sowing score, including: Standard temperature and humidity conditions for Populus euphratica seedling cultivation are obtained. For each Populus euphratica seed sowing score, a temperature correction coefficient Rz and a humidity correction coefficient Nz are set, where z = 1, 2, 3, 4, 5, 6, and 0.8 < Rz < 1.2, 0.9 < Nz < 1.

1. The standard temperature conditions are corrected according to the temperature correction coefficient Rz to generate the seedling cultivation temperature conditions; the standard humidity conditions are corrected according to the humidity correction coefficient Nz to generate the seedling cultivation humidity conditions. The seedling temperature and humidity conditions for each unit area are obtained by weighting the different sowing scores in each unit area according to the proportion of each sowing score and the corresponding correction coefficient.

6. The Populus euphratica seedling cultivation system according to claim 5, characterized in that, The maintenance module acquires the height information of the poplar seedlings in real time and determines the growth level based on the height information, including: Obtain the height U of the poplar seedling, compare the height U of the poplar seedling with the preset heights U1 of the first poplar seedling and U2 of the second poplar seedling, where U1 < U2, and determine the growth level based on the comparison results. When U≤U1, the growth level of the poplar seedling is determined to be ZS1; When U1 < U ≤ U2, the growth grade of the poplar seedling is determined to be ZS2; When U2 < U, the growth grade of the poplar seedling is determined to be ZS3; Where 0 < ZS1 < ZS2 < ZS3.

7. The Populus euphratica seedling cultivation system according to claim 6, characterized in that, The maintenance module, based on the growth level, calibrates the control parameters of the irrigation unit and nutrient unit for each unit area, including: Irrigation and nutrient units are set up on each unit area. The growth level of each Populus euphratica seedling on each unit area is obtained. The number of Populus euphratica seedlings with growth level ZS1 is denoted as OP1, the number of Populus euphratica seedlings with growth level ZS2 is denoted as OP2, and the number of Populus euphratica seedlings with growth level ZS3 is denoted as OP3. The average growth level on this unit area is calculated. When the soil grade per unit area is P1, the average plant growth grade is L1, which is calculated using the following formula: Where OP1+OP2+OP3=Ya; When the soil grade per unit area is P2, the average plant growth grade is L2, which is calculated using the following formula: Wherein, OP1 + OP2 + OP3 = Yb; When the soil grade per unit area is P3, the average plant growth grade is L3, which is calculated using the following formula: Where OP1+OP2+OP3=Yc; When the average growth level L1 is greater than ZS1, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit. When the average growth level L1 is less than ZS1, the control parameters of the irrigation unit and the nutrient unit are optimized. When the average growth level L2 is greater than ZS2, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L2 is less than ZS2, the control parameters of the irrigation unit and the nutrient unit are optimized. When the average growth level L3 is greater than ZS3, there is no need to calibrate the control parameters of the irrigation unit and the nutrient unit; when the average growth level L3 is less than ZS3, the control parameters of the irrigation unit and the nutrient unit are optimized. The control parameters of the irrigation unit include the irrigation frequency and the amount of irrigation. The control parameters of the nutrient unit include adjusting the type of fertilizer, the amount of fertilizer, and the frequency of fertilizer application.

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