CN118067966B - Digital agricultural soil monitoring system - Google Patents
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- CN118067966B CN118067966B CN202410481566.4A CN202410481566A CN118067966B CN 118067966 B CN118067966 B CN 118067966B CN 202410481566 A CN202410481566 A CN 202410481566A CN 118067966 B CN118067966 B CN 118067966B
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- 239000002689 soil Substances 0.000 title claims abstract description 138
- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims abstract description 90
- 238000004364 calculation method Methods 0.000 claims abstract description 51
- 229910052757 nitrogen Inorganic materials 0.000 claims abstract description 45
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims abstract description 39
- 229910052700 potassium Inorganic materials 0.000 claims abstract description 39
- 239000011591 potassium Substances 0.000 claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 22
- 230000003993 interaction Effects 0.000 claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 238000013523 data management Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 11
- 230000008859 change Effects 0.000 claims description 8
- 230000004720 fertilization Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 2
- 238000012271 agricultural production Methods 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 4
- 238000007726 management method Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 238000007792 addition Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000004856 soil analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Abstract
The invention relates to the technical field of agricultural information, and particularly discloses a digital agricultural soil monitoring system which comprises a farmland area dividing module, a data acquisition and detection module, a sub-area data analysis module, a comprehensive data management module, a target area calculation module, a comprehensive judgment module and a data interaction module. The farmland area dividing module is used for dividing the target farmland area into monitoring subareas according to an equal area dividing mode and sequentially recording the monitoring subareas as 1, 2. The data acquisition and detection module is used for acquiring and detecting the comprehensive parameters of the soil in the subareas and transmitting the comprehensive parameters to the subarea data analysis module; the invention solves the problem of real-time monitoring and analyzing of soil temperature, nitrogen component and potassium component data through the digital monitoring system, provides a more scientific and accurate management means for agricultural production, is beneficial to improving the yield and quality of crops, reduces the production cost and promotes the sustainable development of agriculture.
Description
Technical Field
The invention relates to the technical field of agricultural information, in particular to a digital agricultural soil monitoring system.
Background
Along with the continuous development of intelligent information technology, the application of intelligent information technology to agricultural production has become an important trend of industry development, so that diversified intelligent management and control modes also appear.
The existing digital agricultural soil detection mode mainly relies on sampling personnel to randomly collect soil samples, then the soil samples are analyzed in detail by means of professional equipment, analysis data are rapidly uploaded to a cloud end, and secondary analysis is carried out by a professional detection yard.
The random collection mode has obvious limitation, firstly, the representativeness of the collected samples is possibly insufficient due to the limited quantity of the collected samples, the soil condition of the whole farmland is difficult to comprehensively reflect, and if the quantitative collection mode is adopted, a large amount of manpower resources are necessarily involved, so that high personnel cost is caused.
Secondly, the current soil analysis technology mainly focuses on the component analysis of the soil, although the basic condition of the soil can be revealed to a certain extent, the single analysis mode is obviously not attractive in the face of complex soil structures such as frozen soil layers, muddy sand layers and the like, and the overall condition of the soil is difficult to comprehensively and accurately evaluate only by the component analysis due to obvious component and structure differences of different soil layers, so that the result is often quite accidental.
Therefore, there is a need to develop a more advanced and comprehensive digital agricultural soil detection system, which can realize efficient and accurate collection of soil samples and simultaneously can deeply analyze multiple indexes of soil, so that the soil condition of farmlands can be more comprehensively known, and more scientific and effective guidance is provided for agricultural production.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a digitized agricultural soil monitoring system to solve the above-mentioned problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a digital agricultural soil monitoring system comprises a farmland area dividing module, a data acquisition and detection module, a sub-area data analysis module, a comprehensive data management module, a target area calculation module, a comprehensive judgment module and a data interaction module.
Farmland area dividing module: dividing the target farmland area into monitoring subareas according to an equal area dividing mode, and recording the monitoring subareas as 1,2, i, n;
And the data acquisition and detection module is used for: the comprehensive parameters are used for collecting and detecting soil in the subareas and transmitting the comprehensive parameters to the subarea data analysis module;
A sub-region data analysis module: the system comprises a temperature coefficient calculation unit, a nitrogen component coefficient calculation unit and a potassium component coefficient calculation unit, wherein the temperature coefficient calculation unit is used for calculating temperature parameters in a data acquisition detection module to obtain a soil temperature coefficient of a subarea; the nitrogen component coefficient calculation unit is used for calculating nitrogen component parameters in the data acquisition detection module to obtain a soil nitrogen component coefficient of the subarea; the potassium component coefficient calculation unit is used for calculating potassium component parameters in the data acquisition detection module to obtain a regional soil potassium component coefficient;
and the comprehensive data management module is used for: the method comprises the steps of transmitting a subregion soil temperature coefficient, a subregion nitrogen component coefficient and a subregion potassium component coefficient to a comprehensive soil safety index model, and calculating to obtain a subregion comprehensive soil safety index;
a target area calculation module: the method comprises the steps of importing a sub-region comprehensive soil safety index into a target region soil safety index model, and calculating to obtain a target comprehensive soil safety index;
And the comprehensive judgment module is used for: the system comprises a target area calculation module, a data interaction module, a target comprehensive soil safety index calculation module, a data interaction module and a target comprehensive soil safety index calculation module, wherein the target comprehensive soil safety index calculation module is used for calculating a target comprehensive soil safety index of the target comprehensive soil safety index;
And a data interaction module: the system is used for receiving the data of the comprehensive judgment module, and agricultural workers can monitor and analyze in real time and make decisions in time.
Preferably, the integrated parameters include a temperature parameter, a nitrogen composition parameter, and a potassium composition parameter.
Preferably, the temperature parameter includes soil temperature T 1 at any time point in the subarea and soil temperature T 2 after interval time T, and interval time T is set to be half an hour to one hour.
Preferably, the nitrogen component parameter includes a nitrogen component content value and a nitrogen component content value which increases with the fertilizing amount when no fertilization is performed, i.e., f=0, at a certain time point of any one of the subregions, wherein F is the fertilizing amount.
Preferably, the potassium component parameter includes a potassium content value at a certain time point of any subarea and a potassium component content value increasing with the watering times, wherein W j represents the watering times, and more particularly, it is not significant when the watering times are zero or negative.
Preferably, the calculation formula for the soil temperature coefficient of the subarea is as follows:
Wherein A i represents an i-th sub-area soil temperature coefficient, Δt represents an allowable temperature error value of a preset soil temperature in a test process, T 1 represents the soil temperature at any time point, T 2 represents the soil temperature after an interval time T, the interval time range is from half an hour to one hour, and mu 1、μ2、μ3 respectively represents a preset temperature error influence factor.
Preferably, the calculation formula of the soil nitrogen component coefficient of the subarea is as follows:
Wherein N i represents the i-th sub-region nitrogen component coefficient value, F represents the fertilization amount, α 1、α2 represents the preset nitrogen component error influence factor, and e represents the base number which is the natural logarithm, respectively.
Preferably, the calculation formula of the soil potassium component coefficient of the subarea is as follows:
wherein K i represents the i-th sub-region potassium component coefficient value, W j represents the number of times of watering, j=1, 2,3,4,5 … … m, ℇ 1、ℇ2、ℇ3 are respectively represented as preset potassium component error influencing factors.
Preferably, the calculation formula of the comprehensive soil safety index of the subarea is as follows:
Wherein T i represents the comprehensive soil safety index of the ith sub-region, and beta 1、β2、β3 is respectively represented as a sub-region comprehensive soil safety index error influencing factor.
Preferably, the calculation formula for the target integrated soil safety index is as follows:
Wherein Ti represents the integrated soil safety index of the ith sub-zone.
By combining all the technical schemes, the invention has the following beneficial effects:
1. The invention solves the problem of real-time monitoring and analyzing of soil temperature, nitrogen component and potassium component data through the digital monitoring system, provides a more scientific and accurate management means for agricultural production, is beneficial to improving the yield and quality of crops, reducing the production cost and promoting the sustainable development of agriculture;
2. according to the invention, through automatic and real-time data acquisition and transmission, the workload and time cost of manual monitoring are greatly reduced, and the monitoring efficiency is improved;
3. the invention enables the agricultural manager to respond to the change of the soil environment more quickly and make more accurate decisions through the real-time data analysis and remote management functions.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a digitized agricultural soil monitoring system, which comprises a farmland area dividing module, a data acquisition and detection module, a subregion data analysis module, a comprehensive data management module, a target area calculation module, a comprehensive judgment module and a data interaction module.
The output end of the farmland area dividing module is in telecommunication connection with the input end of the data acquisition and detection module, the output end of the data acquisition and detection module is in telecommunication connection with the input end of the sub-area data analysis module, the output end of the sub-area data analysis module is in telecommunication connection with the input end of the comprehensive data management module, the output end of the comprehensive data management module is in telecommunication connection with the input end of the target area computing module, the output end of the target area computing module is in telecommunication connection with the input end of the comprehensive judging module, and the output end of the comprehensive judging module is in telecommunication connection with the input end of the data interaction module.
Farmland area dividing module: dividing the target farmland area into monitoring subareas according to an equal area dividing mode, and recording the monitoring subareas as 1,2, i, n;
And the data acquisition and detection module is used for: the comprehensive parameters are used for collecting and detecting soil in the subareas and transmitting the comprehensive parameters to the subarea data analysis module;
In this embodiment, it should be specifically described that the comprehensive parameters include a temperature parameter, a nitrogen component parameter, and a potassium component parameter;
The temperature parameters comprise soil temperature T 1 at any time point of the subarea and soil temperature T 2 after interval time T, and specific explanation is needed to ensure that T 1 and T 2 can reflect the actual change of the soil temperature, so that the influence of fluctuation of the environmental temperature is avoided, and the influence of fluctuation change on the soil temperature is avoided, so that T 1 and T 2 are consistent, and the interval time T is set to be half an hour to one hour;
The nitrogen component parameter comprises a nitrogen component content value and a nitrogen component content value which is increased along with the fertilizing amount when no fertilizing exists at a certain time point of any subarea, namely F=0, wherein F is the fertilizing amount;
The potassium component parameter comprises a potassium content value at a certain time point of any subarea and a potassium component content value which increases along with the watering times, wherein W j represents the watering times, and more particularly, the method has no meaning when the watering times are zero or negative;
A sub-region data analysis module: the system comprises a temperature coefficient calculation unit, a nitrogen component coefficient calculation unit and a potassium component coefficient calculation unit, wherein the temperature coefficient calculation unit is used for calculating temperature parameters in a data acquisition detection module to obtain a soil temperature coefficient of a subarea; the nitrogen component coefficient calculation unit is used for calculating nitrogen component parameters in the data acquisition detection module to obtain a soil nitrogen component coefficient of the subarea; the potassium component coefficient calculation unit is used for calculating potassium component parameters in the data acquisition detection module to obtain a regional soil potassium component coefficient;
in this embodiment, it should be specifically described that the calculation formula of the soil temperature coefficient of the subarea is as follows:
Wherein A i represents an i-th sub-area soil temperature coefficient, deltat represents a preset allowable temperature error value of soil temperature in a test process, T 1 represents soil temperature at any time point, T 2 represents soil temperature after interval time T, the interval time range is from half an hour to one hour, and mu 1、μ2、μ3 respectively represents a preset temperature error influence factor; specifically, the temperature values at different time points are acquired through the data acquisition detection module, and the dynamic change of the soil temperature is reflected through the temperature change rate between t 1 and t 2;
the calculation formula of the soil nitrogen component coefficients of the subareas is as follows:
N i represents the nitrogen component coefficient value of the ith sub-area, F represents the fertilizing amount, alpha 1、α2 is respectively represented as a preset nitrogen component error influence factor, and e represents a base number which is a natural logarithm; it should be specifically noted that in this formula, α 2 controls the influence degree of the fertilizing amount on the nitrogen component content, and if α 2 is a positive number, the nitrogen component content will increase exponentially with the increase of the fertilizing amount; if α 2 is a negative number, then as the amount of fertilization increases, the nitrogen content will decrease exponentially, and α 1 is a basal level that indicates the nitrogen content in the soil without fertilization (f=0).
The calculation formula of the soil potassium component coefficients of the subareas is as follows:
Wherein K i represents the i-th sub-region potassium component coefficient value, W j represents the number of times of watering, j=1, 2,3,4,5 … … m, ℇ 1、ℇ2、ℇ3 are respectively represented as preset potassium component error influencing factors; it should be specifically noted that in this formula, there is no meaning when the number of watering is zero or negative;
and the comprehensive data management module is used for: the method comprises the steps of transmitting a subregion soil temperature coefficient, a subregion nitrogen component coefficient and a subregion potassium component coefficient to a comprehensive soil safety index model, and calculating to obtain a subregion comprehensive soil safety index;
in this embodiment, it should be specifically described that the calculation formula of the comprehensive soil safety index about the subareas is as follows:
Wherein T i represents the comprehensive soil safety index of the ith sub-region, and beta 1、β2、β3 is respectively represented as a sub-region comprehensive soil safety index error influencing factor.
The soil temperature coefficient is lower when the soil temperature change rate is larger, and the soil temperature coefficient is larger; conversely, when the soil temperature change rate is smaller, the soil temperature coefficient is smaller, and the soil availability coefficient is higher;
The nitrogen component coefficient of the soil, if alpha 2 is a positive number, the nitrogen component content increases exponentially with the increase of the fertilization amount F, and the lower the soil availability coefficient is; if alpha 2 is negative, the nitrogen component content is exponentially reduced with the increase of the fertilizing amount, and the soil availability coefficient is higher;
The potassium component coefficient of the soil increases in logarithmic scale with the increase of watering times W j, and the lower the usable coefficient of the soil is;
a target area calculation module: the method comprises the steps of importing a sub-region comprehensive soil safety index into a target region soil safety index model, and calculating to obtain a target comprehensive soil safety index;
in this embodiment, the calculation formula of the target comprehensive soil safety index is as follows:
Wherein T i represents the i-th sub-region comprehensive soil safety index;
the target comprehensive soil safety index is in a value range of 0-1, when the T value is close to 1, the safety index of the soil is higher, otherwise, when the T value is close to 0, the safety index is lower;
And the comprehensive judgment module is used for: the system comprises a target area calculation module, a data interaction module, a target comprehensive soil safety index calculation module, a data interaction module and a target comprehensive soil safety index calculation module, wherein the target comprehensive soil safety index calculation module is used for calculating a target comprehensive soil safety index of the target comprehensive soil safety index;
And a data interaction module: the system is used for receiving the data of the comprehensive judgment module, so that an agricultural worker can monitor and analyze in real time and make a decision in time;
In this embodiment, it needs to be specifically described that after the data interaction module receives the comparison result sent by the comprehensive judgment module, the data interaction module transmits the comparison result data to the specified terminal equipment of the manager, such as a smart phone, a tablet computer and a special workstation computer, on the terminal of the manager, the comparison result displays the soil safety index and the deviation degree from the preset value in real time through the instrument panel, and meanwhile, when the soil safety index exceeds the preset value, the system triggers an alarm function on the terminal and sends instant warning to the manager in the forms of sound, vibration and popup window.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (5)
1. A digitized agricultural soil monitoring system, comprising:
Farmland area dividing module: dividing the target farmland area into monitoring subareas according to an equal area dividing mode, and recording the monitoring subareas as 1,2, i, n;
And the data acquisition and detection module is used for: the comprehensive parameters are used for collecting and detecting soil in the subareas and transmitting the comprehensive parameters to the subarea data analysis module;
A sub-region data analysis module: the system comprises a temperature coefficient calculation unit, a nitrogen component coefficient calculation unit and a potassium component coefficient calculation unit, wherein the temperature coefficient calculation unit is used for calculating temperature parameters in a data acquisition detection module to obtain a soil temperature coefficient of a subarea; the nitrogen component coefficient calculation unit is used for calculating nitrogen component parameters in the data acquisition detection module to obtain a soil nitrogen component coefficient of the subarea; the potassium component coefficient calculation unit is used for calculating potassium component parameters in the data acquisition detection module to obtain a regional soil potassium component coefficient;
the calculation formula of the soil temperature coefficient of the subarea is as follows:
Wherein A i represents an i-th sub-area soil temperature coefficient, deltat represents a preset allowable temperature error value of soil temperature in a test process, T 1 represents soil temperature at any time point, T 2 represents soil temperature after interval time T, the interval time range is from half an hour to one hour, and mu 1、μ2、μ3 respectively represents preset temperature error influence factors;
the calculation formula of the soil nitrogen component coefficients of the subareas is as follows:
Wherein N i represents the nitrogen component coefficient value of the ith sub-area, F represents the fertilizing amount, alpha 1、α2 is respectively represented as a preset nitrogen component error influence factor, and e represents a base number which is a natural logarithm;
The calculation formula of the soil potassium component coefficients of the subareas is as follows:
Wherein K i represents an i-th sub-region potassium component coefficient value, W j represents the number of times of watering, j=1, 2,3,4,5 … … m, ℇ 1、ℇ2、ℇ3 are respectively represented as preset potassium component error influencing factors;
and the comprehensive data management module is used for: the method comprises the steps of transmitting a subregion soil temperature coefficient, a subregion nitrogen component coefficient and a subregion potassium component coefficient to a comprehensive soil safety index model, and calculating to obtain a subregion comprehensive soil safety index;
the calculation formula of the comprehensive soil safety index of the subareas is as follows:
，
Wherein T i represents the comprehensive soil safety index of the ith sub-area, and beta 1, beta 2 and beta 3 are respectively represented as error influence factors of the comprehensive soil safety indexes of the sub-areas;
a target area calculation module: the method comprises the steps of importing a sub-region comprehensive soil safety index into a target region soil safety index model, and calculating to obtain a target comprehensive soil safety index;
the calculation formula for the target comprehensive soil safety index is as follows
Wherein T i represents the integrated soil safety index of the ith sub-region;
And the comprehensive judgment module is used for: the system comprises a target area calculation module, a data interaction module, a target comprehensive soil safety index calculation module, a data interaction module and a target comprehensive soil safety index calculation module, wherein the target comprehensive soil safety index calculation module is used for calculating a target comprehensive soil safety index of the target comprehensive soil safety index;
And a data interaction module: the system is used for receiving the data of the comprehensive judgment module, and agricultural workers can monitor and analyze in real time and make decisions in time.
2. A digitized agricultural soil monitoring system as claimed in claim 1 wherein: the integrated parameters include a temperature parameter, a nitrogen composition parameter, and a potassium composition parameter.
3. A digitized agricultural soil monitoring system as claimed in claim 1 wherein: the temperature parameters include soil temperature T 1 at any time point of the subarea and soil temperature T 2 after interval time T, and specific explanation is needed to ensure that T 1 and T 2 can reflect real change of soil temperature, avoid that influence of fluctuation of environmental temperature changes on soil temperature to cause consistency of T 1 and T 2, and set interval time T to be half an hour to one hour.
4. A digitized agricultural soil monitoring system as claimed in claim 1 wherein: the nitrogen component parameter includes a nitrogen component content value and a nitrogen component content value which increases with the fertilizing amount when no fertilization, i.e., f=0, is performed at a certain time point of any one of the subregions, wherein F is the fertilizing amount.
5. A digitized agricultural soil monitoring system as claimed in claim 1 wherein: the potassium component parameter comprises a potassium content value at a certain time point of any subarea and a potassium component content value which increases along with the watering times, wherein W j represents the watering times, and more particularly, the method has no meaning when the watering times are zero or negative.
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| CN202410481566.4A CN118067966B (en) | 2024-04-22 | Digital agricultural soil monitoring system |
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| CN202410481566.4A CN118067966B (en) | 2024-04-22 | Digital agricultural soil monitoring system |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112964742A (en) * | 2021-02-08 | 2021-06-15 | 北京化工大学 | EDXRF soil potassium and phosphorus content detection system and method |
| CN117252350A (en) * | 2023-11-20 | 2023-12-19 | 杨凌职业技术学院 | Agriculture and forestry fertilization monitoring system and application method |
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112964742A (en) * | 2021-02-08 | 2021-06-15 | 北京化工大学 | EDXRF soil potassium and phosphorus content detection system and method |
| CN117252350A (en) * | 2023-11-20 | 2023-12-19 | 杨凌职业技术学院 | Agriculture and forestry fertilization monitoring system and application method |
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