Organic planting detection method and organic planting input

Abstract

The invention relates to the technical field of agriculture, in particular to an organic planting detection method and an organic planting invest.The detection method comprises the steps that information of water-soluble carbon elements and information of a target element group in the plant investments are determined respectively; wherein the target element group comprises a plurality of water-soluble or ionized inorganic elements except a water-soluble carbon element; and calculating the probability that the plant is organically planted based on the information corresponding to the water-soluble carbon element and the target element group and a preset mathematical model. Therefore, by constructing the function model among various element groups in the input in the organic planting process from the molecular essence, the organic planting can be accurately and effectively judged, the organic degree of the quality of the produced agricultural products can be evaluated, and a guidance basis is further provided for the organic planting.

Description

Technical Field

[0001] The invention relates to the technical field of agriculture, and in particular to an organic planting detection method and organic planting inputs. Background Art

[0002] The current definition of organic farming around the world is all based on whether the inputs used in the planting process, including fertilizers and other materials, are natural substances that have not been chemically treated or processed. If all inputs in the planting process meet the above requirements, it can be recognized as organic farming, and the agricultural products produced can be recognized as organic agricultural products, or organic foods.

[0003] However, this definition does not have clear criteria and cannot reflect the molecular nature of organic farming, let alone the molecular nature of organic agricultural products or organic foods. Therefore, it cannot provide scientific guidance on how to popularize organic farming and how to evaluate the quality of organic and non-organic agricultural products. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide an organic planting detection method and organic planting inputs to overcome the current problem of being unable to accurately and effectively judge and ensure organic planting.

[0005] To achieve the above objectives, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present application provides an organic planting detection method, comprising:

[0007] Determine the information of water-soluble carbon and target element group in the plant input respectively; wherein the target element group includes a plurality of water-soluble or ionized inorganic elements other than water-soluble carbon;

[0008] Based on the information corresponding to the water-soluble carbon element and the target element group, and a preset mathematical model, the probability that the plant is grown organically is calculated.

[0009] Furthermore, in some embodiments of the present application, the target element group includes N, P, K, Ca, Mg, S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, Se, Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm.

[0010] Furthermore, in some embodiments of the present application, the mathematical model is:

[0011]

[0012] Among them, P is the probability that the plant is organically grown; C is the weight percentage of the water-soluble carbon element in the input; M is the weight percentage of the target element group in the input; k is 0; n is 0.

[0013] Furthermore, in some embodiments of the present application, the mathematical model is:

[0014]

[0015] Among them, P is the probability that the plant is organically grown; C is the ratio of the weight of the water-soluble carbon element in the input per unit area to the preset target value of fertilization per unit area; M is the ratio of the weight of the target element group in the input per unit area to the preset target value of fertilization per unit area; when C+M≤100, k is 0 and n is 0; when C+M>100, k is 0.05 and n is 2.

[0016] In a second aspect, the embodiment of the present application further provides an organic planting input, comprising a water-soluble carbon element and a target element group, and after the contents of the water-soluble carbon element and the target element group are brought into a preset mathematical model, it is calculated that the probability that the plant is organically planted when the organic planting input is used is greater than or equal to a preset threshold value, and the mathematical model is:

[0017]

[0018] Among them, P is the probability that the plant is organically grown when the machine planting input is used; C is the weight percentage of the water-soluble carbon element in the organic planting input; M is the weight percentage of the target element group in the organic planting input; k is 0; n is 0.

[0019] Furthermore, in some embodiments of the present application, the target element group includes N, P, K, Ca, Mg, S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, Se, Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm.

[0020] Further, in some embodiments of the present application, C is 50% and M is 50%.

[0021] Furthermore, in some embodiments of the present application, in the organic planting inputs:

[0022] The weights of N, P, and K each account for 0.1 of the total weight of the target element group;

[0023] The weight of Ca accounts for 0.06 of the total weight of the target element group;

[0024] The weight of Mg accounts for 0.04 of the total weight of the target element group;

[0025] The weight of S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, and Se each accounted for 0.099 of the total weight of the target element group;

[0026] The weight of Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm each accounts for 0.001 of the total weight of the target element group.

[0027] The present invention relates to the field of agricultural technology, and specifically to an organic planting detection method and organic planting inputs, the detection method comprising respectively determining the information of water-soluble carbon elements and target element groups in the plant inputs; wherein the target element group comprises a plurality of water-soluble or ionized inorganic elements other than the water-soluble carbon element; based on the information corresponding to the water-soluble carbon element and the target element group, and a preset mathematical model, the probability of the plant being organically planted is calculated. In this way, by constructing a function model between various element groups in the inputs of the organic planting process from the molecular essence, it is possible to accurately and effectively judge organic planting, evaluate the organic degree of the quality of the agricultural products produced, and thus provide a guiding basis for organic planting. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 It is a schematic diagram of the process of the organic planting detection method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0031] Figure 1 This is a flow chart of the organic planting detection method provided by the embodiment of the present invention. Figure 1 , this embodiment may include the following steps:

[0032] S101. Determine the information of water-soluble carbon element and target element group in plant input respectively.

[0033] S102. Based on the information corresponding to the water-soluble carbon element and the target element group, and a preset mathematical model, the probability that the plant is grown organically is calculated.

[0034] The target element group includes a plurality of water-soluble or ionized inorganic elements except the water-soluble carbon element.

[0035] First of all, it should be noted that all life on earth is carbon-based. The biggest molecular essence of organic agriculture and organic agricultural products lies in whether there is enough carbon element to participate in the organic coordination of various inorganic elements to form organic life in the process of crop growth, that is, whether the content of carbon element and other inorganic elements in the plant body is balanced to the maximum extent during the growth of crops, and then provide the most balanced nutritional conditions for the formation of organic life. This is the biggest difference between organic planting and organic agricultural products and non-organic planting and its agricultural products. Among them, the usual photosynthesis is a well-known carbon source channel for plant growth, and another important carbon source channel is the water-soluble carbon element actually absorbed by the roots of plants from the soil.

[0036] Modern fertilizer agriculture has obviously ignored the carbon source channel absorbed by the roots, and only relies on the uncontrollable carbon dioxide from photosynthesis, resulting in unstable carbon source absorption. Therefore, the balanced ratio between the carbon element in the plant body and other inorganic elements absorbed from the roots cannot be maintained stably. Due to the lack of carbon in the metabolic process in the plant body, the ionized inorganic elements cannot undergo sufficient organic coordination with the carbon element, resulting in a large number of free inorganic elements waiting for organic coordination remaining in the crop body and the cells of the agricultural products. The crops are very prone to become pathological. This is why modern fertilizer agriculture requires a large amount of pesticides, and the fundamental reason why the agricultural products grown are of poor quality and taste.

[0037] Although organic fertilizers in traditional organic agriculture are organic fertilizers, the water-soluble carbon content available for root absorption is very low, accounting for only about 1% of organic fertilizers, and the content of other inorganic elements in traditional organic fertilizers is low. Even if there is enough carbon source, but the inorganic elements are insufficient, the maximum organic coordination of carbon and other ionized inorganic elements cannot be formed in the plant body. This is also the fundamental reason for the low yield and unstable quality of traditional organic agriculture. If the important channel of absorbing carbon sources through plant roots (including foliar spraying to provide carbon sources) is used, that is, in the field of fertilization, the carbon source diversification and the balanced absorption of various other inorganic elements are guaranteed, and the maximum organic coordination in the process of plant growth and metabolism is guaranteed, it will provide an innovative scientific basis for the upgrading, evolution and integration of traditional organic agriculture and modern chemical agriculture.

[0038] Based on this, the present application provides an organic cultivation detection method. By generating a mathematical model, both traditional organic agriculture and modern chemical agriculture can refer to this model to ensure the maximum yield of their agricultural products while obtaining the maximum organic quality.

[0039] In the present application, the above-mentioned target element group includes N, P, K, Ca, Mg, S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, Se, Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm.

[0040] On this basis, in some embodiments of the present application, the mathematical model is specifically expressed as follows:

[0041]

[0042] Among them, P is the probability that the plant is grown organically, with a maximum value of 100%; C is the weight percentage of water-soluble carbon elements in the input, with a maximum value of 50%; M is the weight percentage of the target element group in the input, with a maximum value of 50%; k is 0; n is 0.

[0043] Among them, in this embodiment, the absorbable carbon in C mainly refers to the water-soluble carbon elements contained in various carbon combinations such as humic acid, low-molecular amino acids, various organic acids, sugars, etc. with a molecular weight <1000Da or colloidal particles <800nm ​​actually absorbed by the roots of plants from the soil, which is not an organic fertilizer in the general sense. M is a group of various inorganic elements in a water-soluble state, which is not a chemical fertilizer or organic fertilizer in the general sense. k is the coefficient of the negative impact on the yield under the condition of excess fertilizer input per unit area, and the specific value in this embodiment is 0, and n is the nonlinear influence intensity of the carbon or inorganic element group in the case of excess exceeding the theoretical saturation value per unit area, which reduces the yield instead, and the specific value in this embodiment is 0. It can be understood that when C=50 and M=50, the probability of the plant being organically grown is 100%, which is the most ideal equilibrium state.

[0044] In practical applications, if it is for organic fertilizer, the actual carbon content C can be calculated according to the methods of Chinese patent CN104020169A, and the content M of the inorganic element group can be calculated according to the content analysis method of the inorganic element group of the usual organic fertilizer. If chemical fertilizer and organic fertilizer are mixed, the actual content ratio M of the inorganic element group can be calculated according to the methods of Chinese patent CN101836534A, and the actual carbon content C can be calculated according to Chinese patent CN104020169A.

[0045] Then, the calculated C and M values ​​are brought into the mathematical model in the above embodiment, so that the organic degree of the planting process can be clearly evaluated. At the same time, it can provide a basis for adjusting the ratio of C and M to achieve the fertilization design of maximum organic planting, thereby obtaining the most ideal organic quality agricultural products.

[0046] For example, when C is 20 and M is 80, the mathematical model shows that the organic degree is only 40%, and the probability of organic farming is not high. In practical applications, a specific probability threshold can be set in advance to determine whether it is organic farming. For example, if the threshold is set to 95%, when the calculated probability is greater than 95%, it is determined to be organic farming. Of course, the threshold can also be set to other values ​​based on actual needs, such as 100%. Under this threshold, it is determined to be organic farming only when the calculated probability is 100%. For example, in this case, it is judged to be non-organic farming. In this case, it is actually necessary to reduce the proportion of M and increase the proportion of C to the ideal ratio of 50:50, so as to achieve the maximum organic farming fertilization design and obtain the maximum organic quality agricultural products. For another example, when C is 80 and M is 20, although the proportion of organic carbon elements is large, after substituting it into the mathematical model, it can be concluded that the organic degree is still only 40%, indicating that there is an excess of carbon. It is necessary to reduce the proportion of C and increase the proportion of M to the ideal ratio of 50:50 in order to achieve the maximum organic cultivation fertilization design and obtain the maximum organic quality agricultural products.

[0047] In other embodiments of the present application, in the above data model, each parameter can also represent other meanings, specifically: P is the probability that the plant is organically grown; C is the ratio of the weight of the water-soluble carbon element in the input per unit area to the preset unit area fertilization target value; M is the ratio of the weight of the target element group in the input per unit area to the preset unit area fertilization target value; when C+M≤100, k is 0 and n is 0; when C+M>100, k is 0.05 and n is 2 (in practical applications, the saturated fertilizer amount per unit area can be determined first), and the saturated fertilizer amount per unit area can be both an empirical value and a theoretical value, including base fertilizer and topdressing). That is, the difference is that C and M represent the ratio of the weight of the corresponding element to the preset unit area fertilization target value, that is, the saturated fertilizer amount per unit area, and the values ​​of k and n are changed at the same time.

[0048] In practical applications, although C and M are in an ideal proportion of balance, when the actual amount of fertilizer applied exceeds the empirical value or theoretical value per unit area, that is, when C+M>100, using the data model of this embodiment, a nonlinear negative effect will be produced instead. For example, in the case of excess input when C is 60 and M is 60, it can be clearly shown that increasing the amount of fertilizer applied does not result in better results after being substituted into the mathematical model, and a nonlinear negative effect will also be formed as the amount of excess input increases. In order to prompt that fertilization design not only needs to pay attention to the ideal proportion of carbon and other inorganic element groups, but also pay attention to the control of the maximum amount of fertilizer applied in the case of an ideal proportion.

[0049] The organic planting detection method provided in this application can detect and improve the effects of organic planting and organic agricultural products, regardless of whether it is for the use of traditional organic agricultural materials or chemical fertilizer agricultural materials, as long as the water-solubility data of such fertilizer agricultural materials are mastered and fertilization design is carried out according to the above-mentioned digital model.

[0050] Based on the same inventive concept, the present application also provides an organic planting input, including water-soluble carbon elements and target element groups, and after the contents of water-soluble carbon elements and target element groups are brought into the mathematical model in the above embodiment (such as a model in which k and n are both 0), it is calculated that the probability that the plants are organically grown when using organic planting inputs is greater than or equal to a preset threshold.

[0051] In practical applications, the water-soluble carbon content of the carbon-containing raw material is determined to obtain the C value. The product of Chinese patent CN102757262A can be selected as the carbon source raw material. If amino acid fertilizer is used, the soluble carbon amount is calculated according to the carbon content of 25%. And the M value corresponding to the target element group is determined, and then the content of the elements in each target element group is obtained.

[0052] Among them, the proportion of each element in the target element group is as follows:

[0053] N, P, and K are 30% each (10:10:10); Ca and Mg are 10% each (6:4); 9.9% of the remaining 10% is a combination of 17 trace elements, namely S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, and Se, which follows the common molecular nutrition of humans and plants. Because these trace elements all come from nature, we only pay attention to whether the combination of these 17 elements is in place, but we are not restricted to the ratio of the contents between the 17 elements (in some embodiments of the present application, it can also be specified as 0.099); and the other 0.1% is a combination of 12 trace elements, namely Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce, and Sm. Because these trace elements all come from nature, we only pay attention to whether the combination of these 12 elements is in place, but we are not restricted to the ratio of the contents between the 12 elements (in some embodiments of the present application, it can also be specified as 0.001). These inorganic mineral groups are mainly absorbed by the roots of plants from the soil, and can also be absorbed through foliar sprays.

[0054] In practical applications, water-soluble nitrogen, phosphorus and potassium fertilizers are preferably used as one of the raw materials of M. The fertilizers of the major elements can be water-soluble fertilizers or various natural sources such as mineral sources. Regardless of the source, the water-soluble content is used as the calculation basis. In addition to the three major elements of nitrogen, phosphorus and potassium, other element sources are preferably raw materials such as the Ulan tea crystal stone powder product of Chinese patent CN117701286B.

[0055] Among them, the element composition of M can also be expressed by mathematical formula as follows:

[0056]

[0057] x1=0.10M(N)

[0058] x2=0.10M(P)

[0059] x3=0.10M(K)

[0060] x4=0.06M(Ca)

[0061] x5=0.04M(Mg)

[0062]

[0063] In practical applications, the ingredient list of the ideal ratio of C and specific M is calculated according to the above scheme of the present application. It can be combined into a one-time basal fertilizer according to the ingredient list, or it can be applied as topdressing in batches according to the ingredient list.

[0064] This application constructs a mathematical model between various element groups in the inputs of the organic planting process from the molecular essence, taking the functional relationship between the content ratio of carbon to other inorganic element groups, that is, the functional change relationship between the content ratio of carbon and other 34 inorganic elements as the standard, taking the sufficiency and maximization of organic coordination in the crop growth process as the core, based on the various dynamic balance laws of carbon elements absorbed from the roots and other inorganic element groups in the organic planting process, using a result-oriented approach to judge whether organic planting is established, which can effectively evaluate the organic degree of the quality of the agricultural products produced, and then provide guidance for the design of fertilizers for organic planting. Moreover, the model is simple and intuitive, suitable for practical operation and scientific certification.

[0065] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0066] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0067] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0070] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0071] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0072] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0073] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An organic planting detection method, characterized in that: include: Determine the information of water-soluble carbon and target element group in the plant input respectively; wherein the target element group includes a plurality of water-soluble or ionized inorganic elements other than water-soluble carbon; Based on the information corresponding to the water-soluble carbon element and the target element group, and a preset mathematical model, the probability that the plant is grown organically is calculated.

2. The organic planting detection method according to claim 1, characterized in that: The target element group includes N, P, K, Ca, Mg, S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, Se, Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm.

3. The organic planting detection method according to claim 2, characterized in that: The mathematical model is: Among them, P is the probability that the plant is organically grown; C is the weight percentage of the water-soluble carbon element in the input; M is the weight percentage of the target element group in the input; k is 0; n is 0.

4. The organic planting detection method according to claim 2, characterized in that: The mathematical model is: Among them, P is the probability that the plant is organically grown; C is the ratio of the weight of the water-soluble carbon element in the input per unit area to the preset target value of fertilization per unit area; M is the ratio of the weight of the target element group in the input per unit area to the preset target value of fertilization per unit area; when C+M≤100, k is 0 and n is 0; when C+M>100, k is 0.05 and n is 2.

5. An organic planting input, characterized in that: Including water-soluble carbon elements and target element groups, and after the contents of the water-soluble carbon elements and the target element groups are brought into a preset mathematical model, it is calculated that the probability that the plant is organically grown when the organic planting input is used is greater than or equal to a preset threshold, and the mathematical model is: Among them, P is the probability that the plant is organically grown when the machine planting input is used; C is the weight percentage of the water-soluble carbon element in the organic planting input; M is the weight percentage of the target element group in the organic planting input; k is 0; n is 0.

6. The organic planting input according to claim 5, characterized in that: The target element group includes N, P, K, Ca, Mg, S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, Se, Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm.

7. The organic planting input according to claim 5, characterized in that: C is 50% and M is 50%.

8. The organic planting input according to claim 6, characterized in that: Among the organic farming inputs mentioned: The weights of N, P, and K each account for 0.1 of the total weight of the target element group; The weight of Ca accounts for 0.06 of the total weight of the target element group; The weight of Mg accounts for 0.04 of the total weight of the target element group; The weight of S, Cl, Si, Cu, Fe, Zn, Mn, B, Mo, Sn, Ni, Na, V, I, Ti, Cr, and Se each accounted for 0.099 of the total weight of the target element group; The weight of Sr, Ge, Pt, Pr, Lu, Tm, Yb, La, Nd, Dy, Ce and Sm each accounts for 0.001 of the total weight of the target element group.

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