Method for regulating and controlling flowering phase of sugarcane

Abstract

The invention provides a sugarcane flowering phase regulation and control method. Sugarcane samples with a plurality of flowering phase stages as target flowering phase stages are extracted from a sugarcane growth area. The target flowering phase is the most flowering phase in which the sugarcanes in the sugarcane growth area are in the same flowering phase. And determining color matching information of the light source to be applied based on the target flowering phase. And obtaining growth environment information of any sugarcane sample. And determining the optimal illumination duration corresponding to any sugarcane sample based on the target flowering phase and the growth environment information of any sugarcane sample. And determining the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each sugarcane sample. Illumination is applied to the sugarcane growth area based on the color matching information of the light source to be applied and the illumination duration of the light source to be applied, so that the accuracy of regulation and control of the flowering phase of the sugarcane is enhanced.

Description

Technical Field

[0001] The invention relates to the technical field of sugarcane cultivation, and in particular to a method for regulating the flowering period of sugarcane. Background Art

[0002] Sugarcane is an important sugar crop and bioenergy raw material in the world. Its flowering period regulation is the core technical link in hybrid breeding and high-yield cultivation.

[0003] The traditional method of regulating the flowering period of sugarcane mainly relies on artificially controlling the light source parameters of sugarcane, that is, using a fixed ratio of red light, orange light, and blue light and a preset lighting duration to simulate the natural light cycle to induce flowering. Although this method can regulate the flowering period under specific conditions, due to the fixed light source parameters, it cannot be adaptively adjusted according to the dynamic needs of sugarcane at different growth stages and real-time environmental changes, which will lead to a mismatch between the light environment and the physiological needs of the crop, affecting the accuracy of regulating the flowering period of sugarcane. 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 dynamically regulate the color ratio information and lighting duration of the light source applied to the sugarcane in combination with the flowering stage and growth environment information of the sugarcane, thereby improving the accuracy of regulating the flowering period of the sugarcane.

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

[0006] In a first aspect, the present invention provides a method for regulating the flowering period of sugarcane, wherein a plurality of sugarcane samples are extracted from a sugarcane growing area. The flowering period of any of the plurality of sugarcane samples is a target flowering period, and the target flowering period is the flowering period at which the sugarcanes in the sugarcane growing area are at the same flowering period at most. Based on the target flowering period, the color ratio information of the light source to be applied is determined. The light source to be applied includes a red light source, a blue light source, and an orange light source. The growth environment information of any sugarcane sample is obtained. The growth environment information includes air information, soil information, and natural light illumination information. Based on the target flowering period and the growth environment information of any sugarcane sample, the optimal illumination 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. 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 growing area.

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

[0008] Further, the flowering stage information of the sugarcane included in the sugarcane growing area is collected. The flowering stage information includes a plant image and a spectral image of the corresponding sugarcane. 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 any sugarcane. Based on the flowering stage of each sugarcane included in the sugarcane growing area, a target flowering stage is determined.

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

[0010] Furthermore, the air information includes the temperature and humidity of the air in which the corresponding 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 corresponding sugarcane sample is located. The natural light information includes the light intensity of the natural light irradiating the corresponding 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 represents the environmental state vector corresponding to any sugarcane sample at the first moment; T represents the air temperature, H represents the air humidity, 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 acidity and alkalinity, and L represents the light intensity of natural light.

[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 represents the environmental state vector corresponding to any sugarcane sample at the second moment; F k represents the state transition matrix, based on any sugarcane sample from S t2 To S t1 The dynamic change relationship of u is determined; k represents the input control vector, which is determined based on the artificial intervention measures imposed on the growth environment of any sugarcane sample; B k Represents the control input matrix, which determines the control action based on human intervention.

[0017] The fusion processing formula includes:

[0018]

[0019] in, represents the environment fusion state vector corresponding to any sugarcane sample at the first moment; H k represents the observation matrix; K k Indicates the preset weight coefficient.

[0020] Further, any one of the average value, median value and mode value of the optimal illumination duration corresponding to each sugarcane sample is determined as the illumination duration of the light source to be applied.

[0021] Further, the first optimal illumination duration, the second optimal illumination duration and the third optimal illumination duration are determined in the optimal illumination duration corresponding to each sugarcane sample. The third optimal illumination duration is different from the first optimal illumination duration and the second optimal illumination duration. The first optimal illumination duration is the longest optimal illumination duration among the optimal illumination durations corresponding to each sugarcane sample. The second optimal illumination duration is the shortest optimal illumination duration among the optimal illumination durations corresponding to each sugarcane sample. Any one of the average value, median value and mode value of each third optimal illumination duration is determined as the illumination 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 corresponding to any sugarcane sample is determined as the optimal light duration corresponding to any sugarcane sample.

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

[0024]

[0025] in, represents the cumulative reward score of any sugarcane sample under the first growth condition. The first growth condition is In this state, the preset illumination duration a 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; represents the maximum value of the cumulative reward score of any sugarcane sample under the second growth condition; the second growth condition is In this state, the preset illumination duration a′ is selected as the optimal illumination duration; The predicted value of the growth environment information corresponding to any sugarcane sample at the third moment is determined based on the growth environment information corresponding to any sugarcane sample at the first moment and the first growth condition.

[0026] Further, 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 represents the weight of the i-th growth environment information included in the growth environment information of any sugarcane sample; D i Represents the single factor growth score corresponding to the i-th growth environment information included in the growth environment information of any sugarcane sample.

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

[0030] The beneficial effect of the present invention is that the color ratio information and illumination duration of the light source applied to the sugarcane are dynamically adjusted in combination with the flowering stage and growth environment information of the sugarcane. The energy consumption of the light source applied to the sugarcane can be reduced on the basis of improving the accuracy of the sugarcane flowering period regulation, and the invention can be applicable to large-scale planting scenarios.

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

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

[0033] In a fourth aspect, a computer-readable storage medium is provided, comprising computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the sugarcane flowering period regulation method described in any one of the first aspects.

[0034] In a fifth aspect, a computer program product is provided. When the computer program product is run on a computer, the computer executes the sugarcane flowering period regulation method described in any one of the first aspects.

[0035] It can be understood that the beneficial effects that can be achieved by the system of the second aspect, the electronic device described in the third aspect, the computer-readable storage medium described in the fourth aspect, and the computer program product described in the fifth aspect provided above can refer to the beneficial effects in the first aspect and any possible design method thereof, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a process for regulating the flowering period of sugarcane provided by the present invention;

[0037] Figure 2 A schematic diagram of the regional division of a sugarcane field provided by the present invention;

[0038] Figure 3 The present invention provides a schematic structural diagram of a sugarcane flowering period regulation system. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Among them, in the description of the present application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the present application is only a description of the association relationship of the associated objects, indicating that there can be three relationships, for example, A and / or B, which can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. And, in the description of the present application, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items 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, c can be single or multiple. In addition, in order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish between the same items or similar items with substantially the same functions and effects. Those skilled in the art will understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit the differences. At the same time, in the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design.

[0040] As an important sugar and energy crop in the world, the regulation of flowering period of sugarcane is a key link in hybrid breeding and high-yield cultivation. Traditional methods of regulating flowering period mainly rely on artificial experience or fixed rules to induce flowering of sugarcane by adjusting environmental factors such as light, temperature, and humidity. Common technical means include optimizing flowering period by adjusting a single environmental factor (such as temperature, light, humidity, etc.).

[0041] However, traditional methods mostly focus on regulating a single environmental factor and lack a mechanism for the coordinated optimization of multiple environmental factors, which will lead to a waste of resources or uneven regulatory effects in regulating the flowering period of sugarcane. In addition, the formulation of regulatory strategies based on historical data or manual experience cannot respond to the impact of sudden environmental changes (such as extreme weather) in real time. Therefore, traditional methods have poor accuracy and low resource utilization in regulating the flowering period of sugarcane, which often leads to problems such as missed flowering periods or low pollination rates, making it difficult to meet the demand for large-scale sugarcane planting.

[0042] In view of the poor accuracy of traditional methods for regulating the flowering period of sugarcane, the present invention provides a method for regulating the flowering period of sugarcane, which can dynamically regulate the color ratio information and illumination duration of the light source applied to the sugarcane by combining the flowering stage and growth environment information of the sugarcane. The method can reduce the energy consumption of the light source applied to the sugarcane while improving the accuracy of regulating the flowering period of the sugarcane, and can be applicable to large-scale planting scenarios.

[0043] Figure 1 A schematic diagram of a sugarcane flowering period regulation method provided by the present invention is shown in FIG. Figure 1 As shown, the sugarcane flowering period regulation method provided by the present invention comprises the following steps S101-S106:

[0044] S101: Sampling a plurality of sugarcane samples in a sugarcane growing area.

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

[0046] For example, the sugarcane growing area includes 100 sugarcanes, 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 number of sugarcanes in the flower bud differentiation stage is the largest in the sugarcane growing area, in order to facilitate the flowering of more sugarcanes in the sugarcane growing area, the flower bud differentiation stage can be determined as the target flowering stage.

[0047] In some embodiments, see Figure 2 , the planted sugarcane field 200 can be divided to obtain a plurality of sugarcane growing areas (e.g., sugarcane growing area 201, sugarcane growing area 202, and sugarcane growing area 203, etc.). Each sugarcane growing area can be configured with a light source (e.g., light source 211, light source 212, and light source 213, etc.). Any light source is used to provide light for the sugarcane growing area corresponding to the light source (e.g., light source 211 is used to provide light for sugarcane growing area 201, and light source 212 is used to provide light for sugarcane growing area 202).

[0048] In some embodiments, the flowering stage information of the sugarcane included in the sugarcane growing area is collected. The flowering stage information includes a plant image and a spectral image of the corresponding sugarcane. 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 the sugarcane. Based on the flowering stage of each sugarcane included in the sugarcane growing area, a target flowering stage is determined.

[0049] In some embodiments, the plant image of sugarcane can be analyzed to extract the number of sugarcane stem nodes and flowering conditions of each sugarcane included in the plant image. The flowering condition of sugarcane includes flowering information for indicating whether the sugarcane has bloomed. In the case of flowering of sugarcane, the flowering condition of sugarcane can also include location information of flowering of sugarcane. In addition, the spectral image of sugarcane can be analyzed to extract spectral data of sugarcane. Afterwards, the flowering stage of any sugarcane can be determined based on the number of sugarcane stem nodes, flowering conditions and spectral data of any sugarcane, thereby determining the flowering stage of each sugarcane included in the sugarcane growing area.

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

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

[0052] Among them, the light sources to be applied include red light sources, blue light sources and orange light sources. The light sources including these three colors of light are used because the red light source can promote the activity of photosensitive pigments, accelerate inflorescence differentiation and stem elongation, and ensure the normal development of flower spikes. The blue light source can inhibit gibberellin synthesis, prevent excessive elongation of the stems and cause lodging, and enhance the strength of the cell wall. The orange light source can assist in the transmission of photoperiod signals and enhance the transport efficiency of photosynthetic products.

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

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

[0055] This method of setting different color ratio information corresponding to the light source to be applied according to the different flowering periods of sugarcane can accurately match the light quality ratio and avoid "one-size-fits-all" regulation. In addition, through light quality optimization, ineffective energy consumption can also be reduced (such as reducing redundant red light during the heading period), which can reduce the overall energy consumption of the light source by 15-20%.

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

[0057] Among them, the growth environment information includes air information, soil information and natural light information.

[0058] In some embodiments, the air information includes the temperature and humidity of the air in which the corresponding 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 corresponding sugarcane sample is located. The natural light information includes the intensity of the natural light irradiating the corresponding sugarcane sample.

[0059] S104: Determine the optimal illumination duration corresponding to any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample.

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

[0061] Among them, the noise of the environment fusion state vector corresponding to any sugarcane sample at the first moment will be much smaller than the environment state vector corresponding to any sugarcane sample at the first moment. This is conducive to determining the optimal illumination duration corresponding to any sugarcane sample, making its calculation result 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 represents the environmental state vector corresponding to any sugarcane sample at the first moment; T represents the air temperature, H represents the air humidity, 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 acidity and alkalinity, and L represents the light intensity of natural light.

[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 represents the environmental state vector corresponding to any sugarcane sample at the second moment; F k represents the state transition matrix, based on any sugarcane sample from S t2 To S t1 The dynamic change relationship of u is determined; k represents the input control vector, which is determined based on the artificial intervention measures imposed on the growth environment of any sugarcane sample (for example, adjusting the duration of light, adjusting the amount of irrigation, adjusting the intensity of ventilation, etc.); B k Represents the control input matrix, which is determined by the control actions based on manual intervention (for example, increasing the duration of light, reducing the amount of irrigation, increasing the intensity of ventilation, etc.).

[0068] The fusion processing formula includes:

[0069]

[0070] in, represents the environment fusion state vector corresponding to any sugarcane sample at the first moment; H k K represents the observation matrix, which is used to describe the mathematical relationship between the system state variables and the sensor measurements. Its function is to convert the complete state of the system (such as temperature, humidity, soil moisture, etc.) into physical quantities that can be directly observed by the sensor (such as thermometer readings, hygrometer readings), so as to achieve the comparison and correction of the predicted state and the actual measurement value. k Represents the preset weight 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 the 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 corresponding to any sugarcane sample can be determined as the optimal light duration corresponding to any sugarcane sample.

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

[0073]

[0074] in, represents the cumulative reward score of any sugarcane sample under the first growth condition. The first growth condition is In this state, the preset illumination duration a 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; represents the maximum value of the cumulative reward score of any sugarcane sample under the second growth condition; the second growth condition is In this state, the preset illumination duration a′ is selected as the optimal illumination duration; The predicted value of the growth environment information corresponding to any sugarcane sample at the third moment is determined based on the growth environment information corresponding to any sugarcane sample at the first moment and the first growth condition.

[0075] It should be noted that those skilled in the art can set the second moment and the third moment based on actual scenarios. 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, and the embodiments of the present application are not limited thereto.

[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 represents the weight of the i-th growth environment information included in the growth environment information of any sugarcane sample; D i Represents the single factor growth score corresponding to the i-th growth environment information included in the growth environment information of any sugarcane sample.

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

[0080] The following is a detailed description of the single factor growth score corresponding to the i-th growth environment information of the sugarcane sample in conjunction with a specific embodiment. In the following embodiment, G=1 indicates that the flowering stage of the sugarcane sample is the vegetative growth stage; G=2 indicates that the flowering stage of the sugarcane sample is the flower bud differentiation stage; G=3 indicates that the flowering stage of the sugarcane sample is the heading stage; and G=4 indicates that the flowering stage of the sugarcane sample is the flowering stage.

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

[0082] When G=1, set the preset range corresponding to T 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 single factor growth score corresponding to T is (T-T1) / y1*d t1 ; where d t1 is the first temperature penalty coefficient, d t1 >0. y1 is the first temperature gradient, y1>0.

[0085] If T>T2, the standard single factor growth score corresponding to T is (T2-T) / y1*d t2 ; where d t2 is the second temperature penalty coefficient; d 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 single factor growth score corresponding to T is (T-T3) / y2*d t3 ; where d t3 is the third temperature penalty coefficient, d t3 >0.

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

[0090] When G=3 and G=4, the rule for determining the single factor growth score corresponding to the sugarcane sample can refer to the rule setting of G=1 and G=2 above, which will not be described in detail here.

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

[0092] When G=1, set the preset range corresponding to H 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 t1 ; Among them, h t1 is the first humidity penalty coefficient, h t1 >0. h1 is the first humidity gradient, h1>0.

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

[0096] When G=2, G=3 and G=4, the rule for determining the single factor growth score corresponding to the sugarcane sample can refer to the rule setting of G=1 above, which will not be described in detail here.

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

[0098] When G=1, the preset range corresponding to 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 single factor growth score corresponding to W is (W-W1) / w1*w t1 ; Among them, w t1 is the first water content penalty coefficient, w t1 >0. w1 is the first water content gradient, w1>0.

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

[0102] ​When G=2, G=3 and G=4, the rule for determining the single factor growth score corresponding to the sugarcane sample can refer to the rule setting of G=1 above, which will not be described in detail here.

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

[0104] When G=1, the preset range corresponding to N is set to [N1, N2];

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

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

[0107] When G=2, G=3 and G=4, the rule for determining the single factor growth score corresponding to the sugarcane sample can refer to the rule setting of G=1 above, which will not be described in detail here.

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

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

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

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

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

[0113] When G=2, G=3 and G=4, the rule for determining the single factor growth score corresponding to the sugarcane sample can refer to the rule setting of G=1 above, which will not be described in detail here.

[0114] It should be noted that those skilled in the art can set the preset range of values ​​corresponding to sugarcane under various growth environment information based on the principle of being most conducive to the growth of sugarcane in the corresponding flowering stage. The embodiments of the present 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 value of the optimal illumination durations corresponding to the sugarcane samples may be determined as the illumination duration of the light source to be applied.

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

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

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

[0120] Among them, the third optimal illumination duration is different from the first optimal illumination duration and the second optimal illumination duration. The first optimal illumination duration is the longest optimal illumination duration among the optimal illumination durations corresponding to each sugarcane sample. The second optimal illumination duration is the shortest optimal illumination duration among the optimal illumination durations corresponding to each sugarcane sample.

[0121] S106: Applying 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] It can be seen that the present invention combines the flowering stage and growth environment information of sugarcane to dynamically adjust the color ratio information and lighting duration of the light source applied to sugarcane, and realizes the regulation of sugarcane flowering period based on multiple factors such as light, temperature, humidity, and fertilizer. It can reduce the energy consumption of the light source applied to sugarcane while improving the accuracy of regulating the flowering period of sugarcane, and can be applicable to 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 the structure of a sugarcane flowering period regulation system provided by the present invention. Figure 3 The sugarcane flowering period regulation system provided by the present invention comprises:

[0124] A sample extraction module, used for extracting a plurality of sugarcane samples in a sugarcane growing area;

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

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

[0127] A light duration calculation module, used to determine the optimal light duration corresponding to any sugarcane sample based on the target flowering stage and the growth environment information of any sugarcane sample, and to determine the light duration of the light source to be applied based on the optimal light duration corresponding to 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 schemes, multiple embodiments of the present application can be combined, and the combined scheme can be implemented. Optionally, some operations in the process of each method embodiment are optionally combined, and / or the order of some operations is optionally changed. In addition, the execution order between the steps of each process is only exemplary and does not constitute a restriction on the execution order between the steps. There can also be other execution orders between the steps. It is not intended to indicate that the execution order is the only order in which these operations can be performed. A person of ordinary skill in the art will think of a variety of ways to reorder the operations described herein. In addition, it should be noted that the process details involved in a certain embodiment of this article are also applicable to other embodiments in a similar manner, or different embodiments can be used in combination.

[0130] In addition, some steps in the method embodiment may be equivalently replaced by other possible steps. Alternatively, some steps in the method embodiment may be optional and may be deleted in certain usage scenarios. Alternatively, other possible steps may be added to the method embodiment. Furthermore, the method embodiments may be implemented separately or in combination.

[0131] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned 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 the present 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 only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.

[0133] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0134] If the integrated unit is implemented in the form of 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 embodiment of the present application is essentially or the part that contributes or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0135] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for regulating the flowering period of sugarcane, characterized in that: include: Taking multiple sugarcane samples in sugarcane growing areas; 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 at which the sugarcanes in the sugarcane growing area are at the same flowering stage the most; Based on the target flowering stage, determining the color ratio information of the light source to be applied; the light source to be applied includes a red light source, a blue light source and an orange light source; Acquire the growth environment information of any sugarcane sample; the growth environment information includes air information, soil information and natural light information; Determining the optimal illumination duration corresponding to any one of the sugarcane samples based on the target flowering stage and the growth environment information of any one of the sugarcane samples; Determining the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each of the sugarcane samples; 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 growing area.

2. The method according to claim 1, characterized in that Before extracting a plurality of sugarcane samples from the sugarcane growing area, the method further comprises: Collecting flowering stage information of sugarcane included in the sugarcane growing area; the flowering stage information includes a plant image and a spectral image of the corresponding sugarcane; For any sugarcane included in the sugarcane growing area, based on the flowering stage information corresponding to the any sugarcane, determining the flowering stage of the any sugarcane; The target flowering stage is determined based on the flowering stage of each sugarcane included in the sugarcane growing area.

3. The method according to claim 2, characterized in that The 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 comprises: Based on the growth environment information of any sugarcane sample, construct an environmental state vector corresponding to any sugarcane sample at a first moment; the first moment is the time when the growth environment information of any sugarcane sample is collected; Based on the environmental state vector corresponding to any sugarcane sample at the second moment and the prediction formula, a predicted environmental state vector corresponding to any sugarcane sample at the first moment is obtained; the second moment is earlier than the first moment; Based on the fusion processing formula, a fusion processing is performed on the environmental state vector corresponding to any sugarcane sample at the first moment and the predicted environmental state vector corresponding to any sugarcane sample at the first moment to obtain the environmental fusion state vector corresponding to any sugarcane sample at the first moment; Based on the target flowering stage and the environment fusion state vector corresponding to any sugarcane sample at the first moment, the optimal lighting duration corresponding to any sugarcane sample is determined.

4. The method according to claim 3, characterized in that: The air information includes the temperature and humidity of the air in which the corresponding 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 corresponding sugarcane sample is located; the natural light information includes the light intensity of the natural light irradiating the corresponding sugarcane sample; The environmental state vector corresponding to any sugarcane sample at the first moment is: S t1 =[T,H,W,N,P,K,PH,L]; Among them, S t1 represents the environmental state vector corresponding to any sugarcane sample at the first moment; T represents the temperature of the air, H represents the humidity of the air, W represents the moisture content of the soil, N represents the nitrogen content of the soil, P represents the phosphorus content of the soil, K represents the potassium content of the soil, PH represents the acidity and alkalinity of the soil, and L represents the light intensity of natural light; The prediction formula is: S t1 ’=F k S t2 +B k u k ; Among them, S t1 ' represents the predicted environmental state vector corresponding to any sugarcane sample at the first moment, S t2 represents the environmental state vector corresponding to any sugarcane sample at the second moment; k represents the state transition matrix, based on the sugarcane sample from S t2 To S t1 The dynamic change relationship of u is determined; k represents an input control vector, which is determined based on the artificial intervention measures imposed on the growth environment of any sugarcane sample; B k represents a control input matrix, determined based on the control action of the manual intervention means; The fusion processing formula includes: in, represents the environment fusion state vector corresponding to any sugarcane sample at the first moment; H k represents the observation matrix; K k Indicates the preset weight coefficient.

5. The method according to claim 4, characterized in that The step of determining the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each of the sugarcane samples comprises: Any one of the average value, median value and mode value of the optimal illumination duration corresponding to each of the sugarcane samples is determined as the illumination duration of the light source to be applied.

6. The method according to claim 4, characterized in that The step of determining the illumination duration of the light source to be applied based on the optimal illumination duration corresponding to each of the sugarcane samples comprises: Determine a first optimal illumination duration, a second optimal illumination duration, and a third optimal illumination duration among the optimal illumination durations corresponding to each of the sugarcane samples; the third optimal illumination duration is different from the first optimal illumination duration and the second optimal illumination duration; the first optimal illumination duration is the longest optimal illumination duration among the optimal illumination durations corresponding to each of the sugarcane samples; the second optimal illumination duration is the shortest optimal illumination duration among the optimal illumination durations corresponding to each of the sugarcane samples; Any one of the average value, median value and mode value of each of the third optimal illumination durations is determined as the illumination duration of the light source to be applied.

7. The method according to claim 5 or 6, characterized in that: The 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 comprises: Based on the target flowering stage, the growth environment information of any sugarcane sample and a preset cumulative reward formula, calculating the cumulative reward score of any sugarcane sample under each preset light duration; The preset illumination duration corresponding to the maximum value of the accumulated reward scores corresponding to any sugarcane sample is determined as the optimal illumination duration corresponding to any sugarcane sample.

8. The method according to claim 7, characterized in that The preset cumulative reward formula is: in, represents the cumulative reward score of any sugarcane sample under the first growth condition; the first growth condition is In this state, a preset illumination duration a is selected as the optimal illumination duration; r represents the growth score of any sugarcane sample under the first growth condition; γ represents a preset discount factor; represents the maximum value of the cumulative reward score of any sugarcane sample under the second growth condition; the second growth condition is In this state, the preset illumination duration a′ is selected as the optimal illumination duration; The predicted value of the growth environment information corresponding to any sugarcane sample at the third moment is determined based on the predicted value of the growth environment information corresponding to any sugarcane sample at the third moment; the third moment is later than the first moment; the predicted value of the growth environment information corresponding to any sugarcane sample at the third moment is determined based on the growth environment information corresponding to any sugarcane sample at the first moment and the first growth condition.

9. The method according to claim 8, 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: r=∑ i W i *D i ; Among them, W i represents the weight of the i-th growth environment information included in the growth environment information of any sugarcane sample; D i Represents the single factor growth score corresponding to the i-th growth environment information included in the growth environment information of any sugarcane sample.

10. The method according to claim 9, characterized in that Also includes: Determining a preset range of the i-th growth environment information based on the flowering stage of any sugarcane sample; When the actual value of the i-th growth environment information corresponding to any one of the sugarcane samples falls within the preset range of the i-th growth environment information, the single factor growth score corresponding to the i-th growth environment information of any one of the sugarcane samples is determined as the standard single factor growth score corresponding to the i-th growth environment information; When the actual value of the i-th growth environment information corresponding to any sugarcane sample does not fall within the preset range of the i-th growth environment information, the standard single factor growth score corresponding to the i-th growth environment information is determined based on the difference between the actual value of the i-th growth environment information corresponding to any sugarcane sample and the preset range of the i-th growth environment information.

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