A method for regulating flowering of sugarcane

Abstract

The application provides a sugarcane flowering period regulation method, wherein a plurality of sugarcane samples in a flowering period stage are extracted from a sugarcane growth area. The target flowering period stage is the flowering period stage in which each sugarcane in the sugarcane growth area is in the same flowering period stage most frequently. Based on the target flowering period stage, color ratio information of a light source to be applied is determined. Growth environment information of any sugarcane sample is obtained. Based on the target flowering period stage and the growth environment information of any sugarcane sample, an optimal illumination duration corresponding to any sugarcane sample is determined. Based on the optimal illumination duration corresponding to each sugarcane sample, an illumination duration of the light source to be applied is determined. Based on the color ratio information of the light source to be applied and the illumination duration of the light source to be applied, illumination is applied to the sugarcane growth area, so as to enhance the accuracy of the sugarcane flowering period regulation.

Description

Technical Field

[0001] This invention relates to the field of sugarcane cultivation technology, and in particular to a method for regulating sugarcane flowering period. Background Technology

[0002] As an important sugar crop and bioenergy raw material globally, sugarcane's flowering period regulation is a core technical aspect of hybrid breeding and high-yield cultivation.

[0003] Traditional methods for regulating sugarcane flowering time primarily rely on artificially adjusting the light source parameters. This involves using a fixed ratio of red, orange, and blue light, along with preset illumination durations, to simulate the natural photoperiod and induce flowering. While this method can regulate flowering time under specific conditions, its fixed light source parameters prevent adaptive adjustments based on the dynamic needs of different sugarcane growth stages and real-time environmental changes. This leads to a mismatch between the light environment and the crop's physiological requirements, affecting the accuracy of sugarcane flowering time regulation. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for regulating the flowering period of sugarcane, which can combine the flowering stage and growth environment information of sugarcane to dynamically regulate the color ratio information and illumination duration of the light source applied to sugarcane, thereby improving the accuracy of sugarcane flowering period regulation.

[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows:

[0006] In a first aspect, this invention provides a method for regulating the flowering period of sugarcane, comprising: extracting multiple sugarcane samples from a sugarcane growing area; wherein the flowering stage of any sugarcane sample among the multiple sugarcane samples is a target flowering stage, which is the flowering stage in which the sugarcane in the growing area is most frequently in the same flowering stage; determining the color ratio information of the light source to be applied based on the target flowering stage; the light source to be applied includes red light, blue light, and orange light; acquiring the growth environment information of any sugarcane sample; wherein the growth environment information includes air information, soil information, and natural light intensity information; determining the optimal illumination duration corresponding to any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample; determining the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each sugarcane sample; and applying illumination to the sugarcane growing area based on the color ratio information and illumination duration of the light source to be applied.

[0007] Based on the above technical solution, the present invention can be further improved as follows.

[0008] Furthermore, information on the flowering stage of sugarcane within the sugarcane growing area was collected. This flowering stage information included images of the corresponding sugarcane plants and their spectral data. For any sugarcane within the sugarcane growing area, its flowering stage was determined based on the corresponding flowering stage information. Finally, based on the flowering stages of all sugarcane plants within the sugarcane growing area, a target flowering stage was determined.

[0009] Furthermore, based on the growth environment information of any sugarcane sample, an environmental state vector corresponding to the sugarcane sample at the first time point is constructed. Here, the first time point is the time when the growth environment information of any sugarcane sample is collected. Based on the environmental state vector corresponding to the sugarcane sample at the second time point and the prediction formula, the predicted environmental state vector corresponding to the sugarcane sample at the first time point is obtained. Here, the second time point is earlier than the first time point. Based on the fusion processing formula, the environmental state vector corresponding to the sugarcane sample at the first time point and the predicted environmental state vector corresponding to the sugarcane sample at the first time point are fused to obtain the fused environmental state vector corresponding to the sugarcane sample at the first time point. Based on the target flowering stage and the fused environmental state vector corresponding to the sugarcane sample at the first time point, the optimal light duration corresponding to any sugarcane sample is determined.

[0010] Furthermore, the air information includes the temperature and humidity values ​​of the air in which the sugarcane sample is located. The soil information includes the moisture content, nitrogen content, phosphorus content, potassium content, and pH of the soil in which the sugarcane sample is located. The natural light information includes the intensity of the natural light illuminating the sugarcane sample.

[0011] The environmental state vector corresponding to any sugarcane sample at the first moment is:

[0012] S t1 =[T,H,W,N,P,K,PH,L];

[0013] Among them, S t1 Let T represent the environmental state vector corresponding to any sugarcane sample at the first moment; T represents the air temperature value, H represents the air humidity value, W represents the soil moisture content, N represents the soil nitrogen content, P represents the soil phosphorus content, K represents the soil potassium content, PH represents the soil pH, and L represents the natural light intensity.

[0014] The prediction formula is:

[0015] S t1 '=F k S t2 +B k u k ;

[0016] Among them, S t1' represents the predicted environmental state vector corresponding to any sugarcane sample at the first moment, S t2 F represents the environmental state vector corresponding to any sugarcane sample at the second time step; k Represents the state transition matrix, based on any sugarcane sample from S t2 To S t1 The dynamic relationship is determined; u k B represents the input control vector, determined based on the artificial interventions applied to the growth environment of any sugarcane sample; k This represents the control input matrix, which determines the control actions based on manual intervention.

[0017] The fusion processing formula includes:

[0018]

[0019] in, H represents the environmental fusion state vector corresponding to any sugarcane sample at the first moment; k K represents the observation matrix; k This indicates the preset weighting coefficient.

[0020] Furthermore, the average, median, and mode of the optimal illumination duration corresponding to each sugarcane sample are determined as the illumination duration of the light source to be applied.

[0021] Furthermore, a first optimal light duration, a second optimal light duration, and a third optimal light duration are determined from the optimal light durations corresponding to each sugarcane sample. The third optimal light duration differs from the first and second optimal light durations. The first optimal light duration is the longest optimal light duration among the optimal light durations corresponding to each sugarcane sample. The second optimal light duration is the shortest optimal light duration among the optimal light durations corresponding to each sugarcane sample. The average, median, or mode of each third optimal light duration is determined as the light duration of the light source to be applied.

[0022] Furthermore, based on the target flowering stage, the growth environment information of any sugarcane sample, and the preset cumulative reward formula, the cumulative reward score of any sugarcane sample under each preset light duration is calculated. The preset light duration corresponding to the maximum value of each cumulative reward score for any sugarcane sample is determined as the optimal light duration for that sugarcane sample.

[0023] Furthermore, the preset cumulative reward formula is as follows:

[0024]

[0025] in, This represents the cumulative reward score for any sugarcane sample under the first growth condition, where the first growth condition is... Under the given conditions, a preset illumination duration is selected as the optimal illumination duration; r represents the growth score of any sugarcane sample under the first growth condition; γ represents the preset discount factor. This represents the maximum cumulative reward score for any sugarcane sample under the second growth condition; the second growth condition is... Under these conditions, select the preset illumination duration a′ as the optimal illumination duration; The predicted value is determined based on the growth environment information of any sugarcane sample at the third time point; the third time point is later than the first time point; the predicted value of the growth environment information of any sugarcane sample at the third time point is determined based on the growth environment information and the first growth conditions of any sugarcane sample at the first time point.

[0026] Furthermore, based on the target flowering stage, the growth environment information of any sugarcane sample, and a preset growth score formula, the growth score of any sugarcane sample under the first growth condition is determined. The preset growth score formula is:

[0027] r = ∑ i W i *D i ;

[0028] Among them, W i D represents the weight of the i-th type of growth environment information included in the growth environment information of any sugarcane sample; i This represents the single-factor growth score corresponding to the i-th type of growth environment information included in the growth environment information of any sugarcane sample.

[0029] Furthermore, based on the flowering stage of any sugarcane sample, a preset range for the i-th type of growth environment information is determined. If the actual value of the i-th type of growth environment information for any sugarcane sample falls within the preset range, the single-factor growth score corresponding to the i-th type of growth environment information for that sugarcane sample is determined as the standard single-factor growth score corresponding to the i-th type of growth environment information. If the actual value of the i-th type of growth environment information for any sugarcane sample does not fall within the preset range, the standard single-factor growth score corresponding to the i-th type of growth environment information is determined based on the difference between the actual value of the i-th type of growth environment information for any sugarcane sample and the preset range.

[0030] The beneficial effects of this invention are: by combining information on the sugarcane's flowering stage and growth environment, the color ratio of the light source applied to the sugarcane and the duration of illumination can be dynamically controlled. This improves the accuracy of sugarcane flowering stage control while reducing the energy consumption of the light source applied to the sugarcane, making it suitable for large-scale planting scenarios.

[0031] In a second aspect, the present invention provides a sugarcane flowering period regulation system, which is capable of performing the sugarcane flowering period regulation method described in any of the first aspects above.

[0032] Thirdly, the present invention provides an electronic device, comprising: a memory and one or more processors; the memory and the processors are coupled; wherein the memory stores computer program code, the computer program code including computer instructions, and when the computer instructions are executed by the processor, the electronic device performs the sugarcane flowering period regulation method described in any of the first aspects above.

[0033] Fourthly, a computer-readable storage medium is provided, including computer instructions that, when executed on an electronic device, cause the electronic device to perform the sugarcane flowering period regulation method described in any of the first aspects above.

[0034] Fifthly, a computer program product is provided, which, when run on a computer, causes the computer to execute the sugarcane flowering period regulation method described in any of the first aspects above.

[0035] It is understood that the beneficial effects achieved by the system of the second aspect, the electronic device of the third aspect, the computer-readable storage medium of the fourth aspect, and the computer program product of the fifth aspect can be referred to the beneficial effects of the first aspect and any of its possible design embodiments, which will not be repeated here. Attached Figure Description

[0036] Figure 1 A flowchart illustrating a method for regulating sugarcane flowering period provided by the present invention;

[0037] Figure 2 This invention provides a schematic diagram of sugarcane field zoning.

[0038] Figure 3 This is a schematic diagram of the structure of a sugarcane flowering period regulation system provided by the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of this application will be described below with reference to the accompanying drawings. In the description of this application, unless otherwise stated, " / " indicates that the objects before and after are in an "or" relationship. For example, A / B can represent A or B. "And / or" in this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone, where A and B can be singular or plural. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. Furthermore, to facilitate a clear description of the technical solutions in the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that "first" and "second" are not necessarily different. Meanwhile, in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate that something is being used as an example, illustration, or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes.

[0040] As a globally important sugar and energy crop, sugarcane's flowering period regulation is a crucial aspect of hybridization breeding and high-yield cultivation. Traditional methods of flowering period regulation mainly rely on human experience or fixed rules, inducing sugarcane flowering by adjusting environmental factors such as light, temperature, and humidity. Common techniques include optimizing flowering period by adjusting single environmental factors (such as temperature, light, and humidity).

[0041] However, traditional methods often focus on regulating single environmental factors, lacking mechanisms for synergistic optimization of multiple environmental factors. This leads to resource waste or uneven regulatory effects in sugarcane flowering period control. Furthermore, relying on historical data or human experience to formulate control strategies cannot respond in real time to the impact of sudden environmental changes (such as extreme weather). Therefore, traditional methods suffer from poor precision and low resource utilization in sugarcane flowering period control, often resulting in problems such as mismatched flowering periods or low pollination rates, making it difficult to meet the needs of large-scale sugarcane cultivation.

[0042] To address the issues of poor precision in controlling sugarcane flowering time using traditional methods, this invention provides a method for controlling sugarcane flowering time. This method dynamically adjusts the color ratio and duration of light applied to the sugarcane by combining information on the sugarcane's flowering stage and growth environment. It improves the accuracy of sugarcane flowering time control while reducing the energy consumption of the applied light source, making it suitable for large-scale planting scenarios.

[0043] Figure 1 This is a flowchart illustrating a method for regulating sugarcane flowering time provided by the present invention, as shown below. Figure 1 As shown, the sugarcane flowering period regulation method provided by the present invention includes the following steps S101-S106:

[0044] S101: Collect multiple sugarcane samples from the sugarcane growing area.

[0045] Among these, the flowering stage of any sugarcane sample from multiple sugarcane samples is considered the target flowering stage. The target flowering stage is the flowering stage in which sugarcane plants in the sugarcane growing area are at the same flowering stage the most. The flowering stages of sugarcane include the vegetative growth stage, flower bud differentiation stage, heading stage, and flowering stage.

[0046] For example, a sugarcane growing area includes 100 sugarcane stalks, of which 80 are in the flower bud differentiation stage, 8 are in the vegetative growth stage, 5 are in the heading stage, and 7 are in the flowering stage. Since the sugarcane in the flower bud differentiation stage is the most numerous in the sugarcane growing area, the flower bud differentiation stage can be determined as the target flowering stage in order to facilitate the flowering of more sugarcane in the sugarcane growing area.

[0047] In some embodiments, see Figure 2 The sugarcane field 200 can be divided into multiple sugarcane growing areas (e.g., sugarcane growing area 201, sugarcane growing area 202, and sugarcane growing area 203). Each sugarcane growing area can be equipped with a light source (e.g., light source 211, light source 212, and light source 213). Any light source is used to provide illumination to the sugarcane growing area corresponding to that light source (e.g., light source 211 is used to provide illumination to sugarcane growing area 201, and light source 212 is used to provide illumination to sugarcane growing area 202).

[0048] In some embodiments, flowering stage information of sugarcane included in the sugarcane growing area is collected. The flowering stage information includes plant images and spectral images of the corresponding sugarcane. For any sugarcane included in the sugarcane growing area, the flowering stage of that sugarcane is determined based on its corresponding flowering stage information. Based on the flowering stages of all sugarcane included in the sugarcane growing area, a target flowering stage is determined.

[0049] In some embodiments, images of sugarcane plants can be analyzed to extract the number of sugarcane stem nodes and flowering status for each sugarcane stalk included in the plant image. The flowering status includes flowering information characterizing whether the sugarcane is flowering. If the sugarcane is flowering, the flowering status may also include the location information of the flowering flowers. Furthermore, spectral images of the sugarcane can be analyzed to extract spectral data. Then, based on the number of sugarcane stem nodes, flowering status, and spectral data for any given sugarcane stalk, the flowering stage of any sugarcane stalk can be determined, thereby determining the flowering stage of each sugarcane stalk included in the sugarcane growing area.

[0050] In some embodiments, the spectral image of sugarcane may be at least one of the visible light spectral image of sugarcane, the near-infrared spectral image of sugarcane, and the hyperspectral image of sugarcane.

[0051] S102: Determine the color ratio information of the light source to be applied based on the target flowering stage.

[0052] The light sources to be applied include red, blue, and orange light. These three colors are chosen because red light promotes the activity of phytochromes, accelerates inflorescence differentiation and stem elongation, and ensures normal spike development. Blue light inhibits gibberellin synthesis, preventing excessive stem elongation and lodging, while also strengthening cell walls. Orange light assists in photoperiod signal transmission, enhancing the transport efficiency of photosynthetic products.

[0053] In some embodiments, different flowering stages correspond to different color ratios of the light source to be applied.

[0054] For example, during the vegetative growth stage, the color ratio of the light source to be applied can be: red light: orange light: blue light = 7:1:2, to promote sugarcane leaf growth. During the flower bud differentiation stage, the color ratio of the light source to be applied can be: red light: orange light: blue light = 8:1:1, to induce sugarcane flowering. During the heading stage, the color ratio of the light source to be applied can be 7:1:2, to promote inflorescence differentiation. During the flowering stage, the color ratio of the light source to be applied can be 6:2:2, to improve pollination success rate.

[0055] This method of setting different color ratios for the light source based on the different flowering stages of sugarcane allows for precise matching of light quality proportions, avoiding a "one-size-fits-all" approach. Furthermore, by optimizing light quality, ineffective energy consumption can be reduced (e.g., reducing redundant red light during the heading stage), resulting in a 15-20% reduction in overall light source energy consumption.

[0056] S103: Obtain the growth environment information of any sugarcane sample.

[0057] The growth environment information includes air information, soil information, and natural light information.

[0058] In some embodiments, air information includes the temperature and humidity values ​​of the air in which the sugarcane sample is located. Soil information includes the moisture content, nitrogen content, phosphorus content, potassium content, and pH of the soil in which the sugarcane sample is located. Natural light information includes the intensity of natural light illuminating the sugarcane sample.

[0059] S104: Based on the target flowering stage and the growth environment information of any sugarcane sample, determine the optimal light duration for any sugarcane sample.

[0060] In some embodiments, an environmental state vector corresponding to any sugarcane sample at a first time point can be constructed based on the growth environment information of any sugarcane sample. The first time point is the time when the growth environment information of any sugarcane sample is collected. Furthermore, based on the environmental state vector corresponding to any sugarcane sample at a second time point and the prediction formula, a predicted environmental state vector corresponding to any sugarcane sample at the first time point can be obtained. The second time point is earlier than the first time point. Subsequently, based on the fusion processing formula, a fusion processing is performed on the environmental state vector corresponding to any sugarcane sample at the first time point and the predicted environmental state vector corresponding to any sugarcane sample at the first time point to obtain a fused environmental state vector corresponding to any sugarcane sample at the first time point. Based on the target flowering stage and the fused environmental state vector corresponding to any sugarcane sample at the first time point, the optimal light duration corresponding to any sugarcane sample is determined.

[0061] In this study, the noise in the environmental fusion state vector corresponding to any sugarcane sample at the first moment will be much smaller than that in the environmental state vector corresponding to any sugarcane sample at the first moment. This is beneficial for determining the optimal illumination duration for any sugarcane sample, making the calculation results more accurate.

[0062] In some embodiments, the environmental state vector corresponding to any sugarcane sample at the first moment is:

[0063] S t1 =[T,H,W,N,P,K,PH,L];

[0064] Among them, S t1 Let T represent the environmental state vector corresponding to any sugarcane sample at the first moment; T represents the air temperature value, H represents the air humidity value, W represents the soil moisture content, N represents the soil nitrogen content, P represents the soil phosphorus content, K represents the soil potassium content, PH represents the soil pH, and L represents the natural light intensity.

[0065] The prediction formula is:

[0066] S t1 '=F k S t2 +B k u k ;

[0067] Among them, S t1 ' represents the predicted environmental state vector corresponding to any sugarcane sample at the first moment, S t2 F represents the environmental state vector corresponding to any sugarcane sample at the second time step; k Represents the state transition matrix, based on any sugarcane sample from S t2 To S t1 The dynamic relationship is determined; u k B represents the input control vector, determined based on artificial interventions applied to the growth environment of any sugarcane sample (e.g., adjusting light duration, irrigation volume, ventilation intensity, etc.); k This represents the control input matrix, which is determined based on control actions taken through human intervention (e.g., increasing light duration, decreasing irrigation volume, increasing ventilation intensity, etc.).

[0068] The fusion processing formula includes:

[0069]

[0070] in, H represents the environmental fusion state vector corresponding to any sugarcane sample at the first moment; k The observation matrix describes the mathematical relationship between system state variables and sensor measurements. Its function is to convert the complete state of the system (such as temperature, humidity, soil moisture, etc.) into physical quantities directly observable by sensors (such as thermometer readings and hygrometer readings), thereby enabling the comparison and correction between predicted states and actual measurements. K k This represents the preset weighting coefficient, which determines the weight of the predicted value and the measured value.

[0071] In some embodiments, based on the target flowering stage, the growth environment information of any sugarcane sample, and a preset cumulative reward formula, the cumulative reward score of any sugarcane sample under each preset light duration can be calculated. The preset light duration corresponding to the maximum value of each cumulative reward score for any sugarcane sample can be determined as the optimal light duration for that sugarcane sample.

[0072] In some embodiments, the preset cumulative reward formula is:

[0073]

[0074] in, This represents the cumulative reward score for any sugarcane sample under the first growth condition, where the first growth condition is... Under the given conditions, a preset illumination duration is selected as the optimal illumination duration; r represents the growth score of any sugarcane sample under the first growth condition; γ represents the preset discount factor. This represents the maximum cumulative reward score for any sugarcane sample under the second growth condition; the second growth condition is... Under these conditions, select the preset illumination duration a′ as the optimal illumination duration; The predicted value is determined based on the growth environment information of any sugarcane sample at the third time point; the third time point is later than the first time point; the predicted value of the growth environment information of any sugarcane sample at the third time point is determined based on the growth environment information and the first growth conditions of any sugarcane sample at the first time point.

[0075] It should be noted that those skilled in the art can set the second and third moments based on the actual scenario. For example, the moment that is 12 hours earlier than the first moment can be set as the second moment, and the moment that is 12 hours later than the first moment can be set as the third moment, etc. The embodiments of this application are not limited to this.

[0076] In some embodiments, the growth score of any sugarcane sample under the first growth condition is determined based on the target flowering stage, the growth environment information of any sugarcane sample, and a preset growth score formula. The preset growth score formula is:

[0077] r = ∑ i (W i *D i );

[0078] Among them, W i D represents the weight of the i-th type of growth environment information included in the growth environment information of any sugarcane sample; i This represents the single-factor growth score corresponding to the i-th type of growth environment information included in the growth environment information of any sugarcane sample.

[0079] In some embodiments, a preset range for the i-th type of growth environment information is determined based on the flowering stage of any sugarcane sample. If the actual value of the i-th type of growth environment information corresponding to any sugarcane sample falls within the preset range, the single-factor growth score corresponding to the i-th type of growth environment information for that sugarcane sample is determined as the standard single-factor growth score corresponding to the i-th type of growth environment information. If the actual value of the i-th type of growth environment information corresponding to any sugarcane sample does not fall within the preset range, the standard single-factor growth score corresponding to the i-th type of growth environment information is determined based on the difference between the actual value of the i-th type of growth environment information and the preset range.

[0080] The following detailed examples illustrate the single-factor growth scores corresponding to the i-th type of growth environment information for sugarcane samples. In the examples below, G=1 indicates that the sugarcane sample's flowering stage is the vegetative growth stage; G=2 indicates that the sugarcane sample's flowering stage is the flower bud differentiation stage; G=3 indicates that the sugarcane sample's flowering stage is the heading stage; and G=4 indicates that the sugarcane sample's flowering stage is the flowering stage.

[0081] In some embodiments, when the i-th type of growth environment information is temperature T, the single-factor growth score corresponding to the sugarcane sample can be determined based on the following scoring rules:

[0082] When G=1, the preset range corresponding to T is set to [T1,T2];

[0083] If T∈[T1,T2], the standard single-factor growth score corresponding to T is the first temperature score;

[0084] If T < T1, the standard one-way growth score corresponding to T is (T-T1) / y1*d. t1 ; where d t1 d is the first temperature penalty coefficient. t1 >0. y1 is the first temperature gradient, y1>0.

[0085] If T > T2, the standard one-way growth score corresponding to T is (T2-T) / y1*d. t2 ; where d t2 d is the second temperature penalty coefficient; t2 >0.

[0086] When G=3, the preset range corresponding to T is set to [T3,T4];

[0087] If T∈[T3,T4], the standard single-factor growth score corresponding to T is the second temperature score;

[0088] If T < T3, the standard one-way growth score corresponding to T is (T-T3) / y2*d. t3 ; where d t3 d is the third temperature penalty coefficient. t3 >0.

[0089] If T > T4, the standard one-way growth score corresponding to T is (T4-T) / y2*d. t4 ; where d t4 The fourth temperature penalty coefficient; d t2 >0. y2 is the second temperature gradient, y2>0.

[0090] When G=3 and G=4, the rules for determining the single-factor growth score corresponding to the sugarcane sample can be set with reference to the rules for G=1 and G=2, and will not be elaborated here.

[0091] In some embodiments, when the i-th type of growth environment information is humidity H, the single-factor growth score corresponding to the sugarcane sample can be determined based on the following scoring rules:

[0092] When G=1, the preset range corresponding to H is set to [H1,H2];

[0093] If H∈[H1,H2], the standard single-factor growth score corresponding to H is the first humidity score;

[0094] If H < H1, the standard one-factor growth score corresponding to H is (H-H1) / h1*h t1 ; where h t1 h is the first humidity penalty factor. t1 >0. h1 is the first humidity gradient, h1>0.

[0095] If H > H2, the standard one-factor growth score corresponding to H is (H2-H) / h1*h t2 ; where h t2 h is the second humidity penalty factor. t2 >0.

[0096] When G=2, G=3 and G=4, the rules for determining the single-factor growth score corresponding to the sugarcane sample can be set with reference to the rules for G=1 above, and will not be repeated here.

[0097] In some embodiments, when the i-th type of growth environment information is soil water content W, the single-factor growth score corresponding to the sugarcane sample can be determined based on the following scoring rules:

[0098] With G=1, the preset range for W is set to [W1, W2].

[0099] If W∈[W1,W2], the standard single-factor growth score corresponding to W is the first water content score;

[0100] If W < W1, the standard one-way growth score corresponding to W is (W-W1) / w1*w t1 Among them, w t1 w is the first water content penalty coefficient. t1 >0. w1 is the first water content gradient, w1>0.

[0101] If W > W2, the standard one-way growth score corresponding to W is (W2-W) / w1*w t2 Among them, w t2 The second water content penalty coefficient; w t2 >0.

[0102] When G=2, G=3 and G=4, the rules for determining the single-factor growth score corresponding to the sugarcane sample can be set with reference to the rules for G=1 above, and will not be repeated here.

[0103] In some embodiments, when the i-th type of growth environment information is soil nitrogen content N, the single-factor growth score corresponding to the sugarcane sample can be determined based on the following scoring rules:

[0104] With G=1, the preset range for N is set to [N1, N2].

[0105] If N < N1, the standard one-way growth score corresponding to N is (N-N1) / n1*n t1 ; where n t1 n is the first nitrogen content penalty coefficient. t1 >0. n1 is the first nitrogen content gradient, n1>0.

[0106] If N > N², the standard one-way growth score corresponding to N is (N² - N) / n¹ * n. t2 ; where n t2 n is the second nitrogen content penalty coefficient; t2 >0.

[0107] When G=2, G=3 and G=4, the rules for determining the single-factor growth score corresponding to the sugarcane sample can be set with reference to the rules for G=1 above, and will not be repeated here.

[0108] In some embodiments, when the i-th type of growth environment information is soil phosphorus content P, soil potassium content K, or soil pH, the scoring rules for the i-th type of growth environment information being soil phosphorus content P, soil potassium content K, or soil pH can be set based on the scoring rules corresponding to the i-th type of growth environment information being soil nitrogen content N. This will not be elaborated here.

[0109] In some embodiments, when the i-th growth environment information is the light intensity L of natural light, the single-factor growth score corresponding to the sugarcane sample can be determined based on the following scoring rules:

[0110] When G=1, the preset range corresponding to L is set to [L1,L2];

[0111] If L < L1, the standard one-way growth score corresponding to L is (L-L1) / l1*l t1 Among them, l t1 l is the first light intensity penalty coefficient. t1 >0. l1 is the first light intensity gradient, l1>0.

[0112] If L > L2, the standard one-way growth score corresponding to L is (L2-L) / l1*lt2 Among them, l t2 The second light intensity penalty coefficient; l t2 >0.

[0113] When G=2, G=3 and G=4, the rules for determining the single-factor growth score corresponding to the sugarcane sample can be set with reference to the rules for G=1 above, and will not be repeated here.

[0114] It should be noted that those skilled in the art can set the values ​​of the preset range corresponding to each growth environment information for sugarcane based on the principle of being most favorable to the growth of sugarcane at the corresponding flowering stage. The embodiments of this application do not limit the specific values ​​of each preset range.

[0115] S105: Determine the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each sugarcane sample.

[0116] In some embodiments, the average of the optimal illumination durations corresponding to each sugarcane sample can be determined as the illumination duration of the light source to be applied.

[0117] In some embodiments, the median of the optimal illumination duration for each sugarcane sample can be determined as the illumination duration of the light source to be applied.

[0118] In some embodiments, the mode of the optimal illumination duration for each sugarcane sample can be determined as the illumination duration of the light source to be applied.

[0119] In some embodiments, a first optimal illumination duration, a second optimal illumination duration, and a third optimal illumination duration can be determined from the optimal illumination durations corresponding to each sugarcane sample. The average, median, and mode of each third optimal illumination duration can be determined as the illumination duration of the light source to be applied.

[0120] The third optimal light duration differs from the first and second optimal light durations. The first optimal light duration is the longest among the optimal light durations corresponding to each sugarcane sample. The second optimal light duration is the shortest among the optimal light durations corresponding to each sugarcane sample.

[0121] S106: Apply light to the sugarcane growing area based on the color ratio information of the light source to be applied and the illumination duration of the light source to be applied.

[0122] As can be seen, this invention combines information on the sugarcane's flowering stage and growth environment to dynamically adjust the color ratio and duration of the light source applied to the sugarcane, achieving regulation of the sugarcane flowering period based on multiple factors such as light, temperature, humidity, and fertilizer. It can improve the accuracy of sugarcane flowering period regulation while reducing the energy consumption of the light source applied to the sugarcane, making it suitable for large-scale planting scenarios.

[0123] In some embodiments, the present invention also provides a sugarcane flowering period regulation system. Figure 3 This is a schematic diagram of a sugarcane flowering period regulation system provided by the present invention. See also... Figure 3 The sugarcane flowering period regulation system provided by this invention includes:

[0124] The sample extraction module is used to extract multiple sugarcane samples from the sugarcane growing area.

[0125] The light source configuration module is used to determine the color ratio information of the light source to be applied based on the target flowering stage;

[0126] The information acquisition module is used to obtain the growth environment information of any sugarcane sample;

[0127] The illumination duration calculation module is used to determine the optimal illumination duration for any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample, and to determine the illumination duration of the light source to be applied based on the optimal illumination duration for each sugarcane sample.

[0128] The light source configuration module is also used to apply light to the sugarcane growing area based on the color ratio information of the light source to be applied and the illumination duration of the light source to be applied.

[0129] In some solutions, multiple embodiments of this application can be combined, and the combined solution can be implemented. Optionally, some operations in the processes of each method embodiment may be combined, and / or the order of some operations may be changed. Furthermore, the execution order between the steps of each process is merely exemplary and does not constitute a limitation on the execution order between steps; other execution orders are also possible. It is not intended to indicate that the execution order is the only possible order in which these operations can be performed. Those skilled in the art will conceive of various ways to reorder the operations described herein. In addition, it should be noted that the process details involved in one embodiment of this document are similarly applicable to other embodiments, or different embodiments may be combined.

[0130] Furthermore, some steps in the method embodiments can be equivalently replaced with other possible steps. Alternatively, some steps in the method embodiments may be optional and can be deleted in certain use cases. Or, other possible steps may be added to the method embodiments. Moreover, the various method embodiments can be implemented individually or in combination.

[0131] Through the above description of the implementation methods, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0133] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0134] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, in essence, or the part that contributes, or all or part of the technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0135] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for regulating the flowering period of sugarcane, characterized in that, include: Multiple sugarcane samples were collected from the sugarcane growing area; The flowering stage of any sugarcane sample among the multiple sugarcane samples is the target flowering stage. The target flowering stage is the flowering stage in which the sugarcane in the sugarcane growing area is in the same flowering stage the most; Based on the target flowering stage, the color ratio information of the light source to be applied is determined; the light source to be applied includes red light source, blue light source and orange light source; Obtain the growth environment information of any sugarcane sample; the growth environment information includes air information, soil information, and natural light intensity information; Based on the target flowering stage and the growth environment information of any sugarcane sample, the optimal light duration corresponding to any sugarcane sample is determined; Based on the optimal illumination duration corresponding to each sugarcane sample, the illumination duration of the light source to be applied is determined. Illumination is applied to the sugarcane growing area based on the color ratio information of the light source to be applied and the illumination duration of the light source to be applied. The method further includes: The flowering stage information of sugarcane in the sugarcane growing area is collected; the flowering stage information includes the corresponding sugarcane plant images and spectral images; For any sugarcane included in the sugarcane growing area, the flowering stage of any sugarcane is determined based on the flowering stage information corresponding to that sugarcane. The target flowering stage is determined based on the flowering stage of each sugarcane variety included in the sugarcane growing area. The step of determining the optimal light duration for any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample includes: Based on the growth environment information of any sugarcane sample, an environmental state vector corresponding to any sugarcane sample at the first moment is constructed; the first moment is the time when the growth environment information of any sugarcane sample is collected. Based on the environmental state vector and prediction formula corresponding to any sugarcane sample at the second time, the predicted environmental state vector corresponding to any sugarcane sample at the first time is obtained; the second time is earlier than the first time. Based on the fusion processing formula, the environmental state vector corresponding to any sugarcane sample at the first time and the predicted environmental state vector corresponding to any sugarcane sample at the first time are fused to obtain the environmental fusion state vector corresponding to any sugarcane sample at the first time. Based on the target flowering stage and the environmental fusion state vector of any sugarcane sample at the first moment, the optimal light duration for any sugarcane sample is determined.

2. The method according to claim 1, characterized in that, The air information includes the temperature and humidity values ​​of the air in which the sugarcane sample is located; the soil information includes the moisture content, nitrogen content, phosphorus content, potassium content, and pH of the soil in which the sugarcane sample is located; the natural light information includes the intensity of the natural light illuminating the sugarcane sample. The environmental state vector corresponding to any sugarcane sample at the first moment is: ； in, This represents the environmental state vector corresponding to any sugarcane sample at the first moment; Indicates the air temperature value. Indicates the humidity value of the air. Indicates the soil moisture content. Indicates the nitrogen content of the soil. This indicates the phosphorus content of the soil. This indicates the potassium content of the soil. Indicates the soil's pH level. Indicates the intensity of natural light; The prediction formula is: = + ； in, This represents the predicted environmental state vector corresponding to any sugarcane sample at the first time step. This represents the environmental state vector corresponding to any sugarcane sample at the second time step. Represents the state transition matrix, based on any sugarcane sample from arrive The dynamic relationship of change is determined; The input control vector is determined based on the artificial intervention measures applied to the growth environment of any sugarcane sample. This represents the control input matrix, which is determined based on the control actions of the aforementioned manual intervention methods. The fusion processing formula includes: + ； in, This represents the environmental fusion state vector corresponding to any sugarcane sample at the first moment; Represents the observation matrix; This indicates the preset weighting coefficient.

3. The method according to claim 2, characterized in that, The determination of the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each sugarcane sample includes: The average, median, and mode of the optimal illumination duration corresponding to each sugarcane sample are determined as the illumination duration of the light source to be applied.

4. The method according to claim 2, characterized in that, The determination of the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each sugarcane sample includes: Among the optimal light durations corresponding to each sugarcane sample, a first optimal light duration, a second optimal light duration, and a third optimal light duration are determined; the third optimal light duration is different from the first optimal light duration and the second optimal light duration; the first optimal light duration is the longest optimal light duration among the optimal light durations corresponding to each sugarcane sample; the second optimal light duration is the shortest optimal light duration among the optimal light durations corresponding to each sugarcane sample. The average, median, and mode of each of the third optimal illumination durations are determined as the illumination duration of the light source to be applied.

5. The method according to claim 3 or 4, characterized in that, The step of determining the optimal light duration for any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample includes: Based on the target flowering stage, the growth environment information of any sugarcane sample, and the preset cumulative reward formula, calculate the cumulative reward score of any sugarcane sample under each preset light duration. The preset illumination duration corresponding to the maximum value among the cumulative reward scores for any sugarcane sample is determined as the optimal illumination duration for any sugarcane sample.

6. The method according to claim 5, characterized in that, The preset cumulative reward formula is as follows: ； in, This represents the cumulative reward score of any sugarcane sample under the first growth condition; the first growth condition is... Under these conditions, select the preset illumination duration 'a' as the optimal illumination duration; This represents the growth score of any sugarcane sample under the first growth condition; Indicates the preset discount factor; This represents the maximum cumulative reward score for any sugarcane sample under the second growth condition; the second growth condition is... In this state, select the preset lighting duration. As the optimal duration of illumination; The predicted value of the growth environment information of any sugarcane sample at the third time point is determined based on the predicted value of the growth environment information of any sugarcane sample at the third time point, which is later than the first time point; the predicted value of the growth environment information of any sugarcane sample at the third time point is determined based on the growth environment information of any sugarcane sample at the first time point and the first growth condition.

7. The method according to claim 6, characterized in that, Also includes: Based on the target flowering stage, the growth environment information of any sugarcane sample, and a preset growth score formula, the growth score of any sugarcane sample under the first growth condition is determined; the preset growth score formula is: ； in, This indicates that the growth environment information of any sugarcane sample includes the first... Weighting of information about the plant's growth environment; This indicates that the growth environment information of any sugarcane sample includes the first... Single-factor growth scores corresponding to the growth environment information of each species.

8. The method according to claim 7, characterized in that, Also includes: Based on the flowering stage of any sugarcane sample, the first... Preset range of seed growth environment information; The first sugarcane sample corresponding to any sugarcane sample The actual value of the growth environment information falls into the first... Under the premise of a preset range of growth environment information, the first of any sugarcane samples is... The single-factor growth score corresponding to the growth environment information is determined as the first... Standard single-factor growth scores corresponding to plant growth environment information; The first sugarcane sample corresponding to any sugarcane sample The actual value of the growth environment information did not fall into the first... Given a preset range of growth environment information, based on the first sugarcane sample corresponding to any given sugarcane sample... The actual value of the growth environment information of the species and the first The discrepancy within a preset range of growth environment information determines the first... Standard single-factor growth scores corresponding to the growth environment information of each species.

Images