Method for intelligently proportioning sheep manure organic fertilizer

Abstract

The invention relates to the technical field of organic fertilizer production, in particular to a method for intelligently proportioning a sheep manure organic fertilizer. The method comprises the following steps: collecting soil data and sheep manure data, introducing a dynamic nutrient loss quantification algorithm, and carrying out nutrient state and nutritional requirement analysis on the soil data to obtain the nutrient loss amount of crops; analyzing the sheep manure data to obtain the actual content of nutrients in the sheep manure; based on the actual content of nutrients in the sheep manure and in combination with the nutrient deficiency amount of crops, a preliminary proportioning scheme of the organic fertilizer is generated; and optimizing the preliminary proportioning scheme of the organic fertilizer through a multi-dimensional feedback optimization algorithm to obtain an optimal organic fertilizer proportioning scheme. The technical problems that in agricultural production, fertilizer use is not accurate, and nutrient supply and demand are not matched are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of organic fertilizer production, and particularly to a method for intelligent proportioning of sheep manure organic fertilizer. Background Technique

[0002] In modern agricultural production, fertilization is one of the key measures to improve crop yield and quality. However, there are many problems with traditional fertilization methods, mainly manifested in inaccurate fertilizer use and environmental pollution. Most existing fertilization technologies rely on soil sample analysis or experience-based fertilization programs, often failing to accurately consider the dynamic changes in soil nutrients and the different needs of crops at different growth stages, resulting in excessive or insufficient fertilizer application, which in turn affects the growth effect and yield of crops. In addition, the long-term use of fertilizers not only increases production costs, but may also lead to problems such as soil acidification and salinization, and may even pollute groundwater and surface water resources in severe cases.

[0003] Organic fertilizers, especially natural fertilizers such as sheep manure, are widely used in agricultural production due to their rich organic matter and microbial components. Compared with chemical fertilizers, organic fertilizers can improve soil structure, increase soil fertility, promote the healthy growth of crops, and are more environmentally friendly. However, due to the slow nutrient release rate and uneven nutrient content of organic fertilizers such as sheep manure, improper use may lead to poor fertilization effects and even have a negative impact on the growth of crops. Therefore, how to dynamically adjust the fertilization amount according to the specific needs of crops, the fertility level of the soil and environmental factors is an important challenge faced by current agricultural fertilization technologies.

[0004] However, the above technologies have the following technical problems: inaccurate fertilizer use and mismatch between nutrient supply and demand in agricultural production. Summary of the Invention

[0005] The present invention provides a method for intelligent proportioning of sheep manure organic fertilizer to solve the technical problems of inaccurate fertilizer use and mismatch between nutrient supply and demand in agricultural production.

[0006] A method for intelligent proportioning of sheep manure organic fertilizer according to the present invention specifically includes the following technical solutions:

[0007] A method for intelligent proportioning of sheep manure organic fertilizer includes the following steps:

[0008] S1. Collect soil data and sheep manure data, introduce a dynamic nutrient deficiency quantification algorithm, analyze the nutrient status and nutritional requirements of the soil data to obtain the nutrient deficiency amount of the crop; analyze the sheep manure data to obtain the actual nutrient content in the sheep manure;

[0009] S2. Based on the actual nutrient content in sheep manure and combined with the nutrient deficiency of crops, generate a preliminary ratio plan for organic fertilizers; optimize the preliminary ratio plan for organic fertilizers through a multi-dimensional feedback optimization algorithm to obtain the optimal ratio plan for organic fertilizers.

[0010] Preferably, the S1 specifically includes:

[0011] In the implementation process of the dynamic nutrient deficiency quantification algorithm, combine the historical soil nutrient content with environmental factors to dynamically calculate the content of each nutrient in the soil to obtain the soil nutrient content. The specific calculation formula is as follows:

[0012]

[0013] Among them, C i (t) is the content of the i-th nutrient in the soil at time t; C i (t - 1) is the content of the i-th nutrient in the soil at the previous moment; P i (t) is the influence of environmental factors on the content of the i-th nutrient in the soil at time t; α i is the environmental response coefficient of the i-th nutrient content in the soil; β i is the time response coefficient of the i-th nutrient content in the soil; Δt is the time interval; λ i,k is the relationship coefficient between the content of the i-th nutrient in the soil and the k-th environmental factor; γ i,k is the attenuation coefficient between the content of the i-th nutrient in the soil and the k-th environmental factor; d k is the soil layer or depth where the k-th environmental factor acts; n is the total number of environmental factors affecting the soil nutrient content.

[0014] Preferably, the S1 specifically includes:

[0015] Based on the soil nutrient content, model the nutrient requirements at different growth stages and calculate the nutrient requirements of the crops.

[0016] Preferably, the S1 specifically includes:

[0017] Calculate the difference between the nutrient requirements of the crops and the soil nutrient content to obtain the nutrient deficiency of the crops.

[0018] Preferably, the S2 specifically includes:

[0019] Based on the actual nutrient content in sheep manure, combined with the nutrient deficiency of crops and the soil nutrient content, introduce a nutrient adjustment factor to generate a preliminary ratio plan for organic fertilizers.

[0020] Preferably, the S2 specifically includes:

[0021] In the process of implementing the multi-dimensional feedback optimization algorithm, a multi-dimensional feedback adjustment mechanism is introduced. Combining the effect feedback of the preliminary proportioning scheme of organic fertilizer, the feedback correction amount of nutrients is calculated. The specific formula is as follows:

[0022]

[0023] Wherein, is the feedback correction amount of the th nutrient; is the content of the th nutrient in the soil after implementing the preliminary proportioning scheme of organic fertilizer; is the demand of the crop for the th nutrient at time t; is the first feedback adjustment coefficient; is the attenuation factor; is the second feedback adjustment coefficient; is the preliminary fertilization amount of the th nutrient applied to the crop at time t; is the adjustment coefficient used to control the adjustment rate of the preliminary fertilization amount over time; is the time attenuation rate coefficient.

[0024] Preferably, the S2 specifically includes:

[0025] In the process of implementing the multi-dimensional feedback optimization algorithm, soil and environmental effect correction is introduced, a soil-environmental effect function is designed, and the preliminary proportioning scheme of organic fertilizer is corrected to obtain the fertilization adjustment amount. The specific formula of the soil-environmental effect function is as follows:

[0026]

[0027] Wherein, is the fertilization adjustment amount at time t; δ 1 is the fertilization adjustment coefficient; is the differential adjustment coefficient of the th nutrient; is the attenuation factor of the fertilization effect of the th nutrient; T plant is the starting time of crop growth.

[0028] Preferably, the S2 specifically includes:

[0029] Based on the feedback correction amount of nutrients and the fertilization adjustment amount, an optimal organic fertilizer proportioning scheme is generated.

[0030] The beneficial effects of the technical solution of the present invention are:

[0031] 1. By comprehensively analyzing soil nutrient content, crop growth stage requirements, environmental factors, etc., dynamically calculate the nutrient requirements of crops for nutrients such as nitrogen, phosphorus, and potassium at different growth stages, and compare them with the actual content of nutrients in the soil to accurately quantify the nutrient deficiency of crops. This process effectively solves the problem of mismatch between nutrient demand and supply in traditional nutrient management methods.

[0032] 2. Based on the actual nutrient requirements of crops and soil nutrient content, through the preliminary ratio plan of organic fertilizer and the multi-dimensional feedback optimization algorithm, the application amount of organic fertilizer can be accurately adjusted to ensure that the nutrient supply in each crop growth stage is met. The multi-dimensional feedback optimization algorithm not only improves the utilization rate of nutrients, but also reduces the risk of over-fertilization and the negative impact on the environment. Introducing a multi-dimensional feedback adjustment mechanism in the fertilization process to dynamically adjust the fertilizer ratio makes the application of fertilizer more in line with the actual needs, avoiding the phenomenon of nutrient surplus or deficiency, and further improving the growth quality of crops and the agricultural production efficiency. Brief Description of the Drawings

[0033] Figure 1 It is a flowchart of an intelligent ratio method of sheep manure organic fertilizer described in the present invention. Detailed Embodiments

[0034] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0036] The following specifically describes the specific solution of an intelligent ratio method of sheep manure organic fertilizer provided by the present invention in conjunction with the drawings.

[0037] Refer to the attached Figure 1 , which shows a flowchart of an intelligent ratio method of sheep manure organic fertilizer provided by an embodiment of the present invention. The method includes the following steps:

[0038] S1. Collect soil data and sheep manure data, introduce a dynamic nutrient deficiency quantification algorithm, analyze the nutrient status and nutrient requirements of the soil data to obtain the nutrient deficiency amount of the crop; analyze the sheep manure data to obtain the actual content of nutrients in the sheep manure;

[0039] Select appropriate collection devices (such as soil moisture sensors, soil water sensors, pH sensors, nitrogen, phosphorus, potassium sensors, etc.) according to expert experience to collect soil data, and collect sheep manure samples through collection devices such as automated samplers as sheep manure data.

[0040] According to the type of crop, cultivation method, climate conditions, etc., use existing crop growth models or expert systems, combined with growth data analysis, to determine the requirements of crops at different stages, including nitrogen requirements, phosphorus requirements, potassium requirements, etc.; further introduce a dynamic nutrient deficiency quantification algorithm to analyze the nutrient status and nutritional requirements of soil data, and determine the currently missing nutrients of crops. The specific implementation process is as follows:

[0041] First, process the soil data to obtain the soil nutrient content. The soil nutrient content is not only affected by seasonal changes, environmental conditions, and fertilizer application, but also closely related to the structure of the soil itself and historical cultivation conditions. Therefore, considering the different characteristics of each nutrient, it is necessary to dynamically calculate the content of each nutrient in the soil. The specific calculation formula is as follows:

[0042]

[0043] Among them, C i (t) is the content of the i-th nutrient in the soil at time t, representing the actual level of the i-th nutrient in the soil at this moment; C i (t - 1) is the content of the i-th nutrient in the soil at the previous moment, that is, at time t - 1, representing the recurrence of the soil nutrient content over time; P i (t) is the influence of environmental factors on the content of the t-th nutrient in the soil at time t. The environmental factors may include factors such as precipitation, fertilization amount, irrigation amount, soil type, etc.; α i is the environmental response coefficient of the i-th nutrient content in the soil, representing the sensitivity of the content of this nutrient in the soil to environmental changes; β i is the time response coefficient of the i-th nutrient content in the soil, representing the change rate of the content of this nutrient in the soil during the process of time change (such as nutrient diffusion after fertilization, precipitation change); ΔT is the time interval, which can be taken as one day, one week or other time scales set according to experimental requirements, representing the time difference from the previous moment to the current moment; λ i,k is the relationship coefficient between the i-th nutrient content in the soil and the k-th environmental factor, representing the influence intensity of the k-th environmental factor on the i-th nutrient content in the soil, determined according to expert experience method; γ i,k is the attenuation coefficient between the i-th nutrient content in the soil and the k-th environmental factor, representing the spatial attenuation rate of the environmental factor affecting the soil nutrient content; d kis the soil layer or depth affected by the k-th environmental factor, representing the depth of action of a certain environmental factor or the spatial scale of influence; n is the total number of environmental factors affecting soil nutrient content; the above formula simulates the change in the content of each nutrient in the soil by combining the historical soil nutrient content with environmental factors;

[0044] Furthermore, based on the soil nutrient content, calculate the demand of the crop for each nutrient. This demand is not static but varies with the crop growth stage, environmental conditions, and crop variety. Therefore, a dynamic demand calculation formula is introduced to calculate the nutrient demand of the crop. The specific formula is as follows:

[0045]

[0046] where R i (t) is the demand of the crop for the i-th nutrient at time t, representing the demand of the crop for each nutrient (such as nitrogen, phosphorus, potassium, etc.) during growth; A i (t) is the demand coefficient of the crop for the i-th nutrient at time t, reflecting the relative demand of the crop for a certain nutrient at different growth stages, and the demand will change as the crop grows; B i (t) is the absorption capacity coefficient of the crop for the i-th nutrient at time t. The absorption capacity coefficient represents the efficiency of the crop in absorbing specific nutrients and is affected by factors such as crop variety, soil type, and climate; θ i is a constant used to adjust the change in the demand of the crop for the i-th nutrient over time, reflecting the time dependence of the crop's nutrient demand; is the proportionality coefficient affecting the change in the demand of the crop for the i-th nutrient over time, describing the growth rate of the nutrient demand of the crop over time during growth, and reflecting the acceleration or deceleration effect of time on the growth of the crop's nutrient demand; is the total number of environmental factors affecting the nutrient demand of the crop; δ i,j is the influence coefficient of the j-th environmental factor on the demand of the crop for the i-th nutrient, reflecting the degree of influence of environmental factors on the crop's absorption of specific nutrients; T j (t) is the value of the j-th environmental factor at time t, reflecting the dynamic change of these environmental factors over time; f j is the correction coefficient of the j-th environmental factor, used to adjust the specific influence of the environmental factor; the above formula takes into account the dynamic change of the crop's nutrient demand and models the nutrient demand at different growth stages to ensure more accurate calculation of the demand for each nutrient;

[0047] Furthermore, calculate the nutrient deficiency of the crop. The nutrient deficiency is the difference between the nutrient demand of the crop and the soil nutrient content, and this difference will directly affect the optimization of the fertilization plan. The nutrient deficiency D of the cropi The calculation formula of (t) is as follows:

[0048]

[0049] Where D i (t) is the nutrient deficiency amount of the crop for the i-th nutrient at time t, which reflects the difference between the nutrient demand of the crop and the actual content of the nutrient in the soil; σ i is the decay coefficient used to adjust the change of the nutrient deficiency amount of the crop over time, which reflects the non-linear characteristics of the change of soil nutrient content; τ i is the rate coefficient of the influence of time on the nutrient deficiency amount of the crop, which is used to control the rate of decay of the nutrient deficiency amount of the crop over time. A larger value indicates that the nutrient deficiency amount of the crop decays faster, and a smaller value indicates that the nutrient deficiency amount of the crop decays slower. Through the above formula, the deficiency amount of each nutrient of the crop can be quantified. If the nutrient demand of the crop is greater than the nutrient content in the soil, the nutrient deficiency amount of the crop is positive; otherwise, it means that the nutrient demand of the crop has been met.

[0050] At the same time, for the collected sheep manure data, the contents of nitrogen, phosphorus, potassium, etc. in the sheep manure are detected by existing chemical analysis methods (such as Kjeldahl method, spectral analysis method, etc.); the organic matter content in the sheep manure is determined by existing laboratory analysis (such as thermogravimetric analysis, ash content test, etc.); and then the existing methods such as infrared method and live resistance method are used to determine the moisture content in the sheep manure, and the actual content of nutrients in the sheep manure including the contents of nitrogen, phosphorus, potassium, etc., organic matter content, and moisture content is obtained.

[0051] S2. Based on the actual content of nutrients in the sheep manure and combined with the nutrient deficiency amount of the crop, generate a preliminary proportioning plan for the organic fertilizer; optimize the preliminary proportioning plan for the organic fertilizer through a multi-dimensional feedback optimization algorithm to obtain the optimal organic fertilizer proportioning plan.

[0052] When determining the preliminary proportioning plan for the organic fertilizer and optimizing it, it is only aimed at the nutrients lacking in the crop calculated in step S1, rather than all nutrients.

[0053] First, according to the actual content of nutrients in the sheep manure, combined with the current nutrient deficiency amount of the crop and the soil nutrient content, generate a preliminary proportioning plan for the organic fertilizer. The specific formula is as follows:

[0054]

[0055] Where is the preliminary fertilization amount for applying the -th nutrient to the crop at time t; is the deficiency amount of the -th nutrient of the crop at time t; is the content of the i-th nutrient in sheep manure; is the content of the i-th nutrient in the soil at time t; is the nutrient adjustment factor, which represents the proportion of the increase in the demand for organic fertilizer when the nutrient demand of the crop exceeds the soil nutrient content, and is determined according to the expert experience method; is the demand of the crop for the i-th nutrient at time t;

[0056] Furthermore, in order to further improve the fertilization accuracy, a multi-dimensional feedback optimization algorithm is introduced. Combining the effect feedback of the preliminary mixing ratio scheme of organic fertilizer, the preliminary mixing ratio scheme of organic fertilizer is optimized to obtain the optimal organic fertilizer mixing ratio scheme. The multi-dimensional feedback optimization algorithm realizes the optimization of the preliminary mixing ratio scheme of organic fertilizer by introducing a multi-dimensional feedback adjustment mechanism and soil and environmental effect correction processing, and obtains the optimal organic fertilizer mixing ratio scheme. The specific implementation process is as follows:

[0057] First, a multi-dimensional feedback adjustment mechanism is introduced to dynamically adjust the fertilizer ratio in the preliminary mixing ratio scheme of organic fertilizer to obtain the feedback correction amount of nutrients. The core formula of the feedback adjustment is:

[0058]

[0059] where is the feedback correction amount of the i-th nutrient; is the content of the i-th nutrient in the soil after implementing the preliminary mixing ratio scheme of organic fertilizer; is the first feedback adjustment coefficient, which represents the intensity of nutrient application adjustment; is the attenuation factor, which represents the attenuation rate of the feedback effect between the crop and soil nutrient content over time, and is used to control the change rate of the difference between soil nutrient supply and crop demand over time; is the second feedback adjustment coefficient, which is used to adjust the intensity of the preliminary fertilization amount adjustment; is the adjustment coefficient, which is used to control the adjustment rate of the preliminary fertilization amount over time; is the time attenuation rate coefficient, which represents the change rate of the fertilization effect over time;

[0060] Soil quality and environmental changes have an important impact on the nutrient absorption of crops and the fertilizer effect. In order to further enhance the adaptability, soil and environmental effect correction is introduced, and a soil-environment effect function is designed to correct the preliminary mixing ratio scheme of organic fertilizer. The specific formula of the soil-environment effect function is as follows:

[0061]

[0062] where is the fertilization adjustment amount at time t; δ 1 is the fertilization adjustment coefficient, used to determine the benchmark value of the fertilization amount, determined according to the expert experience method; is the differential adjustment coefficient of the nth nutrient, used to control the sensitivity of the difference between the nutrient demand of the crop and the soil nutrient content; is the attenuation factor of the fertilization effect of the nth nutrient, indicating the rate at which the fertilization effect decays over time; T plant is the starting time of crop growth, determined according to the specific scenario;

[0063] Based on the nutrient feedback correction amount and the fertilization adjustment amount, an optimal organic fertilizer ratio plan is generated. The specific formula is:

[0064]

[0065] wherein, is the optimal fertilization amount of the nth nutrient applied to the crop at time t.

[0066] In summary, a method for intelligent ratio of sheep manure organic fertilizer is completed.

[0067] The sequence of the invention embodiments is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] Each embodiment in this specification is described in a progressive manner. For the same or similar parts between each embodiment, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments.

[0069] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should all be included in the protection scope of the present invention.​

Claims

1. A method for intelligently mixing sheep manure organic fertilizer, characterized in that: The following steps are involved: S1. Collect soil data and sheep manure data, introduce dynamic nutrient deficiency quantification algorithm, analyze the nutrient status and nutrient demand of soil data, and obtain the nutrient deficiency of crops; analyze sheep manure data to obtain the actual nutrient content in sheep manure; S2. Based on the actual nutrient content in sheep manure and the nutrient deficiency of crops, a preliminary ratio scheme of organic fertilizer is generated; Through the multi-dimensional feedback optimization algorithm, the preliminary ratio scheme of organic fertilizer is optimized to obtain the optimal ratio scheme of organic fertilizer.

2. A sheep manure organic fertilizer intelligent proportioning method according to claim 1, characterized in that: The S1 specifically includes: In the process of implementing the dynamic nutrient deficiency quantification algorithm, the historical nutrient content of the soil is combined with environmental factors to dynamically calculate the content of each nutrient in the soil to obtain the soil nutrient content. The specific calculation formula is as follows: Among them, C i (t) is the content of the i-th nutrient in the soil at time t; C i (t-1) is the content of the i-th nutrient in the soil at the previous moment; P i (t) is the impact of environmental factors on the content of the i-th nutrient in the soil at time t; α i is the environmental response coefficient of the i-th nutrient content in the soil; β i is the time response coefficient of the i-th nutrient content in the soil; ΔT is the time interval; λ i,k is the coefficient of relationship between the content of the i-th nutrient in the soil and the k-th environmental factor; γ i,k is the attenuation coefficient between the i-th nutrient content in the soil and the k-th environmental factor; d k is the soil layer or depth at which the kth environmental factor acts; n is the total number of environmental factors that affect the soil nutrient content.

3. A sheep manure organic fertilizer intelligent proportioning method according to claim 2, characterized in that: The S1 specifically includes: Based on the soil nutrient content, the nutrient requirements at different growth stages are modeled and the nutrient requirements of crops are calculated.

4. A sheep manure organic fertilizer intelligent proportioning method according to claim 3, characterized in that: The S1 specifically includes: Calculate the difference between the crop's nutrient requirement and the soil's nutrient content to get the crop's nutrient deficit.

5. A sheep manure organic fertilizer intelligent proportioning method according to claim 4, characterized in that: The S2 specifically includes: Based on the actual nutrient content in sheep manure, combined with the nutrient deficiency of crops and the nutrient content of soil, nutrient adjustment factors are introduced to generate a preliminary ratio plan for organic fertilizer.

6. A sheep manure organic fertilizer intelligent proportioning method according to claim 5, characterized in that: The S2 specifically includes: In the process of implementing the multidimensional feedback optimization algorithm, a multidimensional feedback adjustment mechanism is introduced. Combined with the effect feedback of the preliminary ratio scheme of organic fertilizer, the feedback correction amount of nutrients is calculated. The specific formula is: in, It is Feedback correction amount of nutrients; It is the first The nutrient content of the species; is the crop's The nutrient requirements of the species; is the first feedback adjustment coefficient; is the attenuation factor; is the second feedback adjustment coefficient; is to apply the first Initial fertilizer application rate of each nutrient; is the adjustment factor, which controls the rate at which the initial fertilizer rate is adjusted over time; is the time decay rate coefficient.

7. A sheep manure organic fertilizer intelligent proportioning method according to claim 6, characterized in that: The S2 specifically includes: In the process of implementing the multidimensional feedback optimization algorithm, soil and environmental effect corrections are introduced, the soil-environmental effect function is designed, the preliminary ratio of organic fertilizer is corrected, and the fertilization adjustment amount is obtained; the specific formula of the soil-environmental effect function is as follows: in, is the fertilizer adjustment amount at time t; δ1 is the fertilizer adjustment coefficient; It is Differential adjustment coefficient of species nutrients; It is The attenuation factor of the fertilization effect of a nutrient; T plant It is the starting time for crop growth.

8. The method for intelligently mixing sheep manure organic fertilizer according to claim 7, characterized in that: The S2 specifically includes: Based on the nutrient feedback correction and fertilizer adjustment, the optimal organic fertilizer ratio plan is generated.

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