Soil resource-based agricultural and animal product quality evaluation method, equipment and medium
Through soil sample screening and calculation of functional element enrichment coefficient of agricultural and animal products, the problem of low quality evaluation efficiency in the prior art is solved, and rapid and accurate quality evaluation and product selection are achieved.
Patent Information
- Application Number
- CN202510083762.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-05-06
AI Technical Summary
The prior art relies on manual experience in the evaluation of agricultural and livestock products, and is inefficient and prone to errors and misses in high-quality products, affecting product development.
By collecting and screening soil samples in the target area, the enriched soil collection is obtained, and the functional element enrichment coefficient in agricultural and animal products is calculated, functional agricultural and animal products are screened out, the reference value of nutrients is calculated, and functional factors are divided to characterize product quality.
It has achieved rapid agricultural and livestock product quality evaluation based on soil resources, selected functional agricultural and livestock products, accurately identified functional components, and supported product development and industrialization.
Smart Images
Figure CN119941040A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of agricultural and livestock product evaluation, and in particular to a method, equipment and medium for evaluating the quality of agricultural and livestock products based on soil resources. Background Art
[0002] At present, the cross-disciplinary integration of earth science, ecological environment, soil science and functional agriculture is in a period of vigorous development. However, in actual use, especially in the selection and product development of agricultural and livestock products in different regions, it relies more on manual experience and judgment, which is inefficient and may miss some agricultural and livestock products with better quality, which is not conducive to product development. Summary of the invention
[0003] The purpose of this application is to provide a method, equipment and medium for evaluating the quality of agricultural and livestock products based on soil resources, which can be combined with the soil environment to quickly evaluate the quality of agricultural and livestock products and achieve product optimization.
[0004] To achieve the above objectives, this application provides the following solutions: In the first aspect, the present application provides a method for evaluating the quality of agricultural and livestock products based on soil resources, comprising: Sampling the target area to obtain multiple soil samples corresponding to different sampling areas; Based on the first preset condition, a plurality of soil samples are screened to obtain an enriched soil set; the soil in the enriched soil set all contains at least one enriched element; For any soil in the enriched soil set, multiple agricultural and livestock products in the corresponding sampling area are selected, and the enrichment coefficient of functional elements in each of the agricultural and livestock products is calculated; Screening out agricultural and livestock products whose enrichment coefficient of functional elements exceeds a preset coefficient value from the plurality of agricultural and livestock products, marking them as functional agricultural and livestock products, and calculating the nutrient reference value of each nutrient in the functional agricultural and livestock products; Based on the second preset condition, the nutrients in the functional agricultural and livestock products are divided according to the nutrient reference values to obtain the first functional factors, the second functional factors, and other factors; the nutrients contained in the first functional factors, the second functional factors and the other factors are used to characterize the quality of the functional agricultural and livestock products in the sampling area.
[0005] Optionally, the first preset condition includes a first screening condition, a second screening condition and a third screening condition; Based on the first preset condition, a plurality of soil samples are screened to obtain an enriched soil set, comprising: Determine the enrichment of functional elements, the content of harmful elements and the content of nutrient elements in each soil sample; wherein the functional elements include selenium, germanium, strontium, zinc, iron, calcium, magnesium, copper and manganese; the harmful elements include cadmium, chromium, arsenic, mercury and lead; the nutrient elements include organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, alkaline nitrogen and pH; Based on the first screening condition, a first screening is performed according to the harmful element content in each of the soil samples; Based on the second screening condition, a second screening is performed according to the content of nutrient elements in each of the soil samples that have passed the first screening; Based on the third screening condition, a third screening is performed according to the enrichment amount of functional elements in each of the soil samples after passing the second screening to obtain an enriched soil set.
[0006] Optionally, the first screening condition is that the content of each harmful element in the soil sample does not exceed a preset risk value; The second screening condition is that the content of each nutrient element in the soil sample exceeds the preset content value; The third screening condition is that the enrichment amount of any functional element in the soil sample exceeds a preset enrichment judgment value.
[0007] Optionally, the calculation formula of the functional element enrichment coefficient is: Enrichment coefficient of functional element i = (content of functional element i in agricultural and livestock products / content of element i in soil × 100%).
[0008] Optionally, the nutrients in the functional agricultural and livestock products include energy, protein, fat, carbohydrates, Na, vitamin B1, vitamin E, folic acid, selenium, copper, iron, magnesium, manganese, and zinc; The calculation formula for the nutrient reference value NRV of each nutrient is: NRV=content of nutrient j in functional agricultural and livestock products / reference value of nutrient j×100%.
[0009] Optionally, the second preset condition is: when the nutrient reference value is ≥30%, the corresponding nutrient is marked as a first-category functional factor; when 15%≤nutrient reference value<30%, the corresponding nutrient is marked as a second-category functional factor; when the nutrient reference value is <15%, the corresponding nutrient is marked as other factors.
[0010] Optionally, the agricultural and livestock product quality evaluation method based on soil resources further includes: After obtaining the first type of functional factors, the second type of functional factors and the other factors, the functional agricultural and livestock products are marked in a form rich in the first type of functional factors and containing the second type of functional factors.
[0011] Optionally, the agricultural and livestock product quality evaluation method based on soil resources further includes: After obtaining the first type of functional factors, the second type of functional factors and the other factors, dividing the sampling area where the functional agricultural and livestock products are located into a plurality of sampling sub-areas; For each of the sampling sub-areas, extract the functional agricultural and livestock products from the sampling sub-areas and mark them as sampled functional agricultural and livestock products, and calculate the nutrient reference value of each nutrient in the sampled functional agricultural and livestock products; Based on the second preset condition, the nutrients in the sampled functional agricultural and livestock products are divided to obtain the first type of functional factors and the second type of functional factors, and then the sampled functional agricultural and livestock products are marked in the form of being rich in the first type of functional factors and containing the second type of functional factors.
[0012] In a second aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for evaluating the quality of agricultural and livestock products based on soil resources.
[0013] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the agricultural and livestock product quality evaluation method based on soil resources.
[0014] According to the specific embodiments provided by the present application, the present application discloses the following technical effects: the present application provides a method, equipment and medium for evaluating the quality of agricultural and livestock products based on soil resources, and screens multiple soil samples from different sampling areas to obtain an enriched soil set; it should be noted that the soil in the enriched soil set contains at least one enriched element, and the enriched element in the soil will have an impact on the agricultural and livestock products in the soil area to a certain extent. For any soil in the enriched soil set, a variety of agricultural and livestock products in the corresponding sampling area are selected, and the enrichment coefficient of the functional elements in each agricultural and livestock product is calculated. At this point, the agricultural and livestock products and the soil environment in which they are located are combined to provide corresponding regional characteristics for the subsequent quality evaluation of agricultural and livestock products. Then, agricultural and livestock products whose functional element enrichment coefficients exceed the preset coefficient value are screened out. Compared with agricultural and livestock products that do not exceed the preset coefficient value, they can provide more functional elements and have better quality. The nutrient reference value of each nutrient in the functional agricultural and livestock products is calculated, and based on this, each nutrient in the functional agricultural and livestock products is divided into the first type of functional factors, the second type of functional factors, and other factors. The nutrients contained in these three factors are used to characterize the quality of the functional agricultural and livestock products in the sampling area. Furthermore, if the types of nutrients contained in the three factors are different, the quality of agricultural and livestock products will also be different. In actual product development, specific development and processing can be carried out according to the various functional factors in agricultural and livestock products, so as to achieve product optimization. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0016] Figure 1 A schematic flow chart of a method for evaluating agricultural and livestock product quality based on soil resources provided in one embodiment of the present application. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0018] In order to make the purpose, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0019] In an exemplary embodiment, Figure 1 As shown, a method for evaluating the quality of agricultural and livestock products based on soil resources is provided, including the following steps 100 to 500.
[0020] Step 100, sampling the target area to obtain multiple soil samples corresponding to different sampling areas; specifically, sampling points are arranged by combining grid and catchment area control, and soil surface samples are collected in designated plots by soil measurement. The sampling density is 4 points / km 2 The sampling depth is the cultivated layer or human activity disturbance layer (0 cm to 20 cm). In order to facilitate subsequent data processing, the collected soil samples are numbered.
[0021] Step 200, based on a first preset condition, a plurality of soil samples are screened to obtain an enriched soil set; the soil in the enriched soil set all contains at least one enriched element; the first preset condition includes a first screening condition, a second screening condition and a third screening condition.
[0022] In an application example, step 200 includes: 21) Determine the enrichment of functional elements, the content of harmful elements and the content of nutrient elements in each soil sample; wherein the functional elements include selenium, germanium, strontium, zinc, iron, calcium, magnesium, copper and manganese; the harmful elements include cadmium, chromium, arsenic, mercury and lead; the nutrient elements include organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, alkaline nitrogen and pH.
[0023] 22) Based on the first screening condition, a first screening is performed according to the content of harmful elements in each of the soil samples. The first screening condition is that the content of each harmful element in the soil sample does not exceed a preset risk value.
[0024] 23) Based on the second screening condition, a second screening is performed according to the content of the nutrient elements in each of the soil samples that have passed the first screening. The second screening condition is that the content of each nutrient element in the soil sample exceeds a preset content value.
[0025] 24) Based on the third screening condition, a third screening is performed according to the enrichment amount of the functional elements in each of the soil samples after passing the second screening to obtain an enriched soil set. The third screening condition is that the enrichment amount of any functional element in the soil sample exceeds a preset enrichment judgment value.
[0026] In this step 200, the evaluation and screening of the soil quality grade of the plot is implemented, involving three parts: soil environmental quality grade, soil nutrient grade and beneficial soil grade, which correspond to the three screening conditions mentioned above. For the first screening condition: it is actually a control soil environmental quality standard to ensure that the soil is in a safe and ecologically risk-free state; for the second screening condition: it is actually a control soil nutrient grading standard to ensure that the soil nutrients are above medium; for the third screening condition: it is actually a control x-rich soil delineation standard to delineate x-rich soil, where x is any functional element, such as selenium-rich soil, zinc-rich soil, germanium-rich soil, etc. For elements without enrichment standards, the cumulative frequency method is used for statistical analysis, and 85% of the cumulative frequency of each element is used as the enrichment judgment value to delineate the enrichment area range of the element in the plot.
[0027] Step 300: for any soil in the enriched soil set, select a plurality of agricultural and livestock products in the corresponding sampling area, and calculate the enrichment coefficient of the functional elements in each of the agricultural and livestock products.
[0028] Specifically, for any soil in the enriched soil set, an investigation is conducted, and the main agricultural and livestock products produced by it are selected for sampling and testing, such as millet, apricots, quinoa, beef, licorice, oats, etc. The number of samples for each type of agricultural and livestock products should be 3 to 10, and the testing index is the enrichment index of the corresponding root soil (for plants) or the enrichment index of the living land (for animals).
[0029] Among them, the calculation formula for the enrichment coefficient of functional elements is: enrichment coefficient of functional element i = (content of functional element i in agricultural and livestock products / content of element i in soil × 100%).
[0030] Since the sampling quantity mentioned above is 3 to 10 pieces, it is necessary to further calculate the average value of the functional element enrichment coefficients of 3 to 10 agricultural and livestock products, and use the obtained average value as the functional element enrichment coefficient of this type of agricultural and livestock products.
[0031] Step 400, screen out agricultural and livestock products whose functional element enrichment coefficient exceeds a preset coefficient value from the plurality of agricultural and livestock products, mark them as functional agricultural and livestock products, and calculate the nutrient reference value of each nutrient in the functional agricultural and livestock products.
[0032] In one application example, the preset coefficient value is set to 10%, that is, agricultural and livestock products with an enrichment coefficient of more than 10% are screened out according to product types, and their nutrients are tested. The nutrients in the functional agricultural and livestock products include energy, protein, fat, carbohydrates, and Na, which are mandatory indicators, and vitamins (such as vitamin B1, vitamin E, folic acid) and other nutrients (such as selenium, copper, iron, magnesium, manganese, and zinc) can be optionally tested.
[0033] The calculation formula for the nutrient reference value NRV of each nutrient is: NRV = content of nutrient j in functional agricultural and livestock products / reference value of nutrient j × 100%.
[0034] Step 500, based on the second preset condition, the nutrients in the functional agricultural and livestock products are divided according to the nutrient reference value to obtain a first type of functional factor, a second type of functional factor, and other factors; the nutrients contained in the first type of functional factor, the second type of functional factor and the other factors are used to characterize the quality of the functional agricultural and livestock products in the sampling area.
[0035] Among them, the second preset condition is: when the nutrient reference value is ≥30%, the corresponding nutrient is marked as the first type of functional factor, also known as the main functional factor; when 15%≤nutrient reference value<30%, the corresponding nutrient is marked as the second type of functional factor, also known as the secondary functional factor; when the nutrient reference value is <15%, the corresponding nutrient is marked as other factors. Based on this, functional agricultural and livestock products can also be marked and defined in the form of rich first type functional factors and second type functional factors.
[0036] In an application example, the agricultural and livestock product quality evaluation method based on soil resources also includes: (1) After obtaining the first type of functional factors, the second type of functional factors and the other factors, the sampling area where the functional agricultural and livestock products are located is divided into a plurality of sampling sub-areas. Specifically, the sampling area rich in a certain element can be divided into N areas as sampling sub-areas according to administrative units such as administrative villages.
[0037] (2) For each of the sampling sub-areas, extract the functional agricultural and livestock products from the sampling sub-areas and mark them as sampled functional agricultural and livestock products, and calculate the nutrient reference values of each nutrient in the sampled functional agricultural and livestock products. Generally, in order to process more quickly, when calculating the nutrient reference values, only the types of nutrients included in the first type functional factors and the second type functional factors of the functional agricultural and livestock products determined in step 500 are selected for calculation.
[0038] (3) Based on the second preset condition, the nutrients in the sampled functional agricultural and livestock products are divided to obtain the first type of functional factors and the second type of functional factors, and then the sampled functional agricultural and livestock products are marked in the form of being rich in the first type of functional factors and containing the second type of functional factors.
[0039] In order to further illustrate the feasibility of the present application, two application examples are provided as follows, one is selenium-rich millet (agricultural product), and the other is zinc-rich yak meat (livestock product).
[0040] Example 1: Selenium-rich millet.
[0041] (1) 4 to 8 points / km in a certain place 2 A total of 100 soil samples were collected at a density of SH1, SH2, ..., SH100.
[0042] (2) For each soil sample, As, Hg, and Se were determined by atomic fluorescence spectrometry; Cd was determined by plasma mass spectrometry; Zn, Ge, Sr, Fe, Ca, Mg, Cu, Mn, Cr, Pb, total phosphorus, total potassium, available phosphorus, and available potassium were determined by X-ray fluorescence spectrometry; organic matter was determined by redox capacity; total nitrogen and alkaline nitrogen were determined by acid-base titration volumetry; and pH was determined by pH meter electrode method.
[0043] (3) Taking natural plots as evaluation units, three screening conditions were set according to the standards of the period in which the agricultural and livestock product quality evaluation was conducted: if the soil heavy metal indicators did not exceed the risk screening value, it was in a safe state; if the soil nutrient grading standards were compared, the soil nutrient indicators were all above medium, and there was no overall nutrient deficiency; if the area with selenium content in the soil greater than or equal to 0.3 mg / kg was 15 km2, the area with selenium content greater than or equal to 0.3 mg / kg was 15 km3; if the area with selenium content greater than or equal to 0.3 mg / kg was 15 km2, the area with selenium content greater than or equal to 0.3 mg / kg was 15 km2 ... 2 , and designated the soil area as “selenium-rich soil”.
[0044] (4) Sampling and testing of millet and potato in the sampling area where the selenium-rich soil is located: 10 pieces of millet and 10 pieces of corresponding root soil; 10 pieces of potato and 10 pieces of corresponding root soil.
[0045] (5) The calculated average selenium enrichment factor of millet was 37.5%, and the average selenium enrichment factor of potato was 5%.
[0046] (6) One piece of millet was selected to test energy, protein, fat, carbohydrate, Na, vitamin B1, vitamin E, folic acid, Se, Cu, Fe, Mg, Mn, and Zn, and the nutritional composition table of millet was calculated, as shown in Table 1 below.
[0047] Table 1
[0048] (7) According to Table 1 above, we can know that the indicators with NRV ≥ 30% in millet include Se, Cu, Fe, Mg, and Mn, and the indicators with NRV 15% ≤ NRV < 30% include vitamin B1, folic acid, and Zn. Therefore, it is preliminarily determined that the millet from this origin is rich in selenium, copper, iron, magnesium, and manganese, and contains vitamin B1, folic acid, and zinc.
[0049] (8) For further subdivision, the selenium-rich soil was divided into three areas (Q1, Q2, and Q3) according to the administrative village. Three pieces of millet were evenly collected in the three areas to measure Se, Cu, Fe, Mg, Mn, vitamin B1, folic acid, and Zn. The results were as follows: the functional nutritional indicators of the three pieces of millet in the Q1 area were verified to meet the second preset condition. One piece in the Q2 area did not meet the Zn content requirement, and one piece in the Q3 area did not meet the Se content requirement. Therefore, it was finally determined that the millet produced in the Q1 area was rich in selenium, copper, iron, magnesium, and manganese, containing vitamin B1, folic acid, and zinc; the millet produced in the Q2 area was rich in selenium, copper, iron, magnesium, and manganese, containing vitamin B1, folic acid, and the millet produced in the Q3 area was rich in copper, iron, magnesium, and manganese, containing vitamin B1, folic acid, and zinc.
[0050] Example 2: Zinc-enriched yak meat.
[0051] The difference between Example 2 and Example 1 is that: in step (3), the soil area finally obtained is "zinc-rich soil"; in step (4), sampling and testing are carried out on yaks in the sampling area where the zinc-rich soil is located, which mainly eat the forage produced in the area, and 3 pieces of yak meat, 3 pieces of edible forage, and 3 pieces of root soil corresponding to the forage are collected. In step (5), the average enrichment coefficient of forage zinc is calculated to be 30.6%; further calculations show that the average enrichment coefficient of yak zinc is 56.3%. In step (6), one piece of yak meat is selected to test energy, protein, fat, carbohydrates, Na, Se, Cu, Fe, Mg, Mn, and Zn, and the nutritional composition table of yak meat is calculated, as shown in Table 2 below.
[0052] Table 2
[0053] According to Table 2 in step (7), it can be known that the indicators of yak meat with NRV ≥ 30% are Zn and Fe, and the indicators with NRV 15% ≤ NRV < 30% are Se and Cu. Therefore, it is preliminarily determined that the yak meat from this origin has nutrients rich in zinc and iron and containing selenium and copper. In step (8), in order to further subdivide, the zinc-rich soil is divided into two areas (Q4 and Q5) according to the grassland area, and three pieces of yak meat are evenly collected in the two areas to measure Zn, Fe, Se and Cu. The result is: the functional nutritional indicators of the three pieces of yak meat in the Q4 area are verified to meet the second preset condition. One piece in the Q5 area does not meet the Se content requirement. Therefore, it is finally determined that the yak meat produced in the Q4 area is rich in zinc and iron and contains selenium and copper; the yak meat produced in the Q5 area is rich in zinc and iron and contains copper.
[0054] Finally, compared with the existing technology, the present application has the following advantages: the method of the present application is used to evaluate the quality of agricultural and livestock products, and can quickly select functional agricultural and livestock products based on the scope and area of characteristic land resources in different regions, and then accurately identify the functional components of agricultural and livestock products, extract functional factors, and serve product development, and ultimately realize the engineering production and industrialization of functional agricultural and livestock products, providing scientific and technological materials for agricultural and livestock brands.
[0055] In an exemplary embodiment, the present application also provides a computer device, which can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it interacts with external experimental data to realize a method for evaluating the quality of agricultural and livestock products based on soil resources.
[0056] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.
[0057] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0058] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0059] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).
[0060] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.
[0061] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0062] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A method for evaluating the quality of agricultural and livestock products based on soil resources, characterized in that: The agricultural and livestock product quality evaluation method based on soil resources includes: Sampling the target area to obtain multiple soil samples corresponding to different sampling areas; Based on the first preset condition, a plurality of soil samples are screened to obtain an enriched soil set; the soil in the enriched soil set all contains at least one enriched element; For any soil in the enriched soil set, multiple agricultural and livestock products in the corresponding sampling area are selected, and the enrichment coefficient of functional elements in each of the agricultural and livestock products is calculated; Screening out agricultural and livestock products whose enrichment coefficient of functional elements exceeds a preset coefficient value from the plurality of agricultural and livestock products, marking them as functional agricultural and livestock products, and calculating the nutrient reference value of each nutrient in the functional agricultural and livestock products; Based on the second preset condition, the nutrients in the functional agricultural and livestock products are divided according to the nutrient reference values to obtain the first functional factors, the second functional factors, and other factors; the nutrients contained in the first functional factors, the second functional factors and the other factors are used to characterize the quality of the functional agricultural and livestock products in the sampling area.
2. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The first preset condition includes a first screening condition, a second screening condition and a third screening condition; Based on the first preset condition, a plurality of soil samples are screened to obtain an enriched soil set, including: Determine the enrichment of functional elements, the content of harmful elements and the content of nutrient elements in each soil sample; wherein the functional elements include selenium, germanium, strontium, zinc, iron, calcium, magnesium, copper and manganese; the harmful elements include cadmium, chromium, arsenic, mercury and lead; the nutrient elements include organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, alkaline nitrogen and pH; Based on the first screening condition, a first screening is performed according to the harmful element content in each of the soil samples; Based on the second screening condition, a second screening is performed according to the content of nutrient elements in each of the soil samples that have passed the first screening; Based on the third screening condition, a third screening is performed according to the enrichment amount of functional elements in each of the soil samples after passing the second screening to obtain an enriched soil set.
3. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 2, characterized in that: The first screening condition is that the content of each harmful element in the soil sample does not exceed the preset risk value; The second screening condition is that the content of each nutrient element in the soil sample exceeds the preset content value; The third screening condition is that the enrichment amount of any functional element in the soil sample exceeds a preset enrichment judgment value.
4. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The calculation formula of the functional element enrichment coefficient is: Enrichment coefficient of functional element i = (content of functional element i in agricultural and livestock products / content of element i in soil × 100%).
5. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The nutrients in the functional agricultural and livestock products include energy, protein, fat, carbohydrates, Na, vitamin B1, vitamin E, folic acid, selenium, copper, iron, magnesium, manganese, and zinc; The calculation formula for the nutrient reference value NRV of each nutrient is: NRV=content of nutrient j in functional agricultural and livestock products / reference value of nutrient j×100%.
6. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The second preset condition is: when the nutrient reference value is ≥30%, the corresponding nutrient is marked as a first-category functional factor; when 15%≤nutrient reference value<30%, the corresponding nutrient is marked as a second-category functional factor; when the nutrient reference value is <15%, the corresponding nutrient is marked as other factors.
7. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The agricultural and livestock product quality evaluation method based on soil resources also includes: After obtaining the first type of functional factors, the second type of functional factors and the other factors, the functional agricultural and livestock products are marked in a form rich in the first type of functional factors and containing the second type of functional factors.
8. The method for evaluating the quality of agricultural and livestock products based on soil resources according to claim 1, characterized in that: The agricultural and livestock product quality evaluation method based on soil resources also includes: After obtaining the first type of functional factors, the second type of functional factors and the other factors, dividing the sampling area where the functional agricultural and livestock products are located into a plurality of sampling sub-areas; For each of the sampling sub-areas, extract the functional agricultural and livestock products from the sampling sub-areas and mark them as sampled functional agricultural and livestock products, and calculate the nutrient reference value of each nutrient in the sampled functional agricultural and livestock products; Based on the second preset condition, the nutrients in the sampled functional agricultural and livestock products are divided to obtain the first type of functional factors and the second type of functional factors, and then the sampled functional agricultural and livestock products are marked in the form of being rich in the first type of functional factors and containing the second type of functional factors.
9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the agricultural and livestock product quality evaluation method based on soil resources as described in any one of claims 1 to 8.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating the quality of agricultural and livestock products based on soil resources described in any one of claims 1 to 8 is implemented.