CN118192395B - Intelligent agriculture integrated control method and system thereof - Google Patents
Intelligent agriculture integrated control method and system thereof Download PDFInfo
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- CN118192395B CN118192395B CN202410622875.9A CN202410622875A CN118192395B CN 118192395 B CN118192395 B CN 118192395B CN 202410622875 A CN202410622875 A CN 202410622875A CN 118192395 B CN118192395 B CN 118192395B
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 239000011159 matrix material Substances 0.000 claims abstract description 78
- 239000007788 liquid Substances 0.000 claims abstract description 75
- 239000002689 soil Substances 0.000 claims abstract description 57
- 238000001035 drying Methods 0.000 claims abstract description 37
- 238000005070 sampling Methods 0.000 claims abstract description 22
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 235000015097 nutrients Nutrition 0.000 claims description 73
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 12
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 6
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 6
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- 229910052698 phosphorus Inorganic materials 0.000 claims description 6
- 239000011574 phosphorus Substances 0.000 claims description 6
- 239000011591 potassium Substances 0.000 claims description 6
- 229910052700 potassium Inorganic materials 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 6
- 239000000872 buffer Substances 0.000 claims description 5
- 230000035699 permeability Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 11
- 238000013178 mathematical model Methods 0.000 abstract description 9
- 230000001502 supplementing effect Effects 0.000 description 12
- 235000015872 dietary supplement Nutrition 0.000 description 11
- 230000008569 process Effects 0.000 description 11
- 230000004720 fertilization Effects 0.000 description 6
- 239000013589 supplement Substances 0.000 description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000012010 growth Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Cultivation Of Plants (AREA)
Abstract
The invention relates to the field of automatic control, and discloses an intelligent agriculture integrated control method and a system thereof, wherein the intelligent agriculture integrated control method comprises the steps of establishing grids for planting areas, measuring soil humidity of a designated depth at each sampling point of the grids at a fixed time interval t, and sequentially generating a humidity matrix A at a corresponding moment; from the second measurement, a humidity offset matrix at the corresponding moment is calculated from the humidity matrix A and the preset humidity matrix A 0 ; Calculating a plurality of drying points p and corresponding liquid adding amounts by a humidity offset matrix A S; each drying point p is filled with liquid. According to the invention, a mathematical model is built through the soil humidity of a plurality of sampling points in the grid, a plurality of drying points p and corresponding liquid adding amounts are obtained through calculation, and then each drying point p is added with liquid, so that excessive liquid adding in the traditional scheme can be avoided, and the problem that excessive humidity is easily caused after the soil is added with liquid is solved.
Description
Technical Field
The invention relates to the field of automatic control, in particular to an intelligent agriculture integrated control method and system.
Background
Different crops have different natural conditions required by growth and development. The planting environment has obvious regional difference in space distribution, and the produced structure varieties and the produced structure numbers are different in different regions. A warm greenhouse environment is created through greenhouse planting, so that plants are protected from severe weather conditions, the growth of the plants is promoted under the condition that the plants are not limited by natural environments, people can eat fresh out-of-season vegetables at any time without being limited by seasons, and the living standard of people is improved. In the greenhouse planting process, as various crops need heat, illumination, water, topography, soil and other natural conditions have differences, the natural conditions such as the heat, the illumination, the water, the topography, the soil and the like need to be regulated and controlled artificially, and an optimal growing environment is provided for the crops.
The existing regulation and control process has the following problems: the amount of humidity supplement and nutrient supplement is difficult to control, and the excessive supplement scheme is often used, so that excessive soil humidity and/or excessive nutrients are easily caused, wherein the excessive soil humidity can cause insufficient air in the soil, the crop root system is in an anoxic environment for a long time, the absorption function is weakened, and the excessive soil nutrients can increase the concentration of fertilizer ions in the surface soil to influence the plant growth.
Based on the above situation, a smart agriculture integrated control method and a system thereof are needed for solving the problem that excessive humidity is easily caused after soil is added.
Disclosure of Invention
The invention aims at: aiming at the existing regulation and control process, the humidity supplement and nutrient supplement amount are difficult to control, and most of the regulation and control process adopts an excessive supplement scheme, so that excessive soil humidity and/or excessive nutrients are easily caused, and the problem that excessive humidity is easily caused after soil is added with liquid is solved.
The technical scheme of the invention is as follows:
the intelligent agriculture integrated control method comprises the following steps:
Establishing a grid for the planting area, and measuring soil humidity at a specified depth at each sampling point of the grid at fixed time intervals t Sequentially generating a humidity matrix A at corresponding moments;
From the second time the measurement is started and the measurement is started, calculating humidity offset matrix at corresponding moment from humidity matrix A and preset humidity matrix A 0 ；
Calculating a plurality of drying points p and corresponding liquid adding amounts by a humidity offset matrix A S;
each drying point p is filled with liquid,
Where i=1, 2,3 … … n, j=1, 2,3 … … m, n and m are positive integers.
The existing regulation and control process is difficult to control the humidity supplementing and nutrient supplementing quantity, an excessive supplementing scheme is adopted, soil humidity is easy to be excessively large, in the scheme, a mathematical model is built through the soil humidity of a plurality of sampling points in a grid, a plurality of drying points p and corresponding liquid adding quantities are obtained through calculation, liquid adding is carried out on each drying point p, excessive liquid adding in the traditional scheme can be avoided, and the problem that the humidity is excessively large after the soil liquid adding is easy to cause is solved.
Further, in order to be able to react to humidity shifts of the soil at various coordinate positions, one possible solution is: calculating a plurality of drying points p and corresponding liquid adding amounts by the humidity offset matrix A S, wherein the method comprises the following steps: before the dry point p and the corresponding liquid adding amount are calculated, curve fitting is carried out on the humidity offset matrix A S, and when the scheme is adopted, the humidity offset of each coordinate position of the soil can be reflected through the curve formed after fitting.
Further, the method of surface fitting is not limited uniquely, and includes:
Performing curve fitting on the data in the humidity offset matrix A S along the x-axis direction to obtain a plurality of continuous curves L j;
and performing surface fitting on the curve L j along the y-axis direction to obtain a humidity offset function S.
With this scheme, the humidity offset function S is obtained by fitting values to the x-axis and the y-axis sequentially.
Further, in order to reduce the amount of calculation, one possible solution is: after calculating the humidity offset matrix a S, setting all element values with positive humidity values in the humidity offset matrix a S to zero, when the humidity value in the humidity offset matrix a S is positive, the humidity value of the corresponding sampling point is larger than the preset value, liquid adding is not needed, and the calculated amount can be reduced by setting the humidity value to zero.
Furthermore, in order to solve the problem of excessive soil nutrient caused by excessive fertilization, one possible scheme is as follows: detecting the nutrient concentration and sequentially generating a nutrient matrix B at corresponding moment while detecting the soil humidity;
calculating a nutrient shift matrix from the corresponding nutrient matrix B and the preset nutrient matrix B 0 from the second measurement ；
Performing curved surface fitting on the nutrient offset matrix B S and calculating a plurality of liquid adding points q;
The nutrient concentration c required for each feeding point q is calculated from a number of feeding points q and a number of drying points p before feeding.
When the scheme is adopted, a mathematical model is built through the soil nutrient concentration of a plurality of sampling points in the grid, a plurality of liquid adding points q are obtained through calculation, and then each liquid adding point q is used for supplementing nutrient solution with the nutrient concentration of c to the soil, so that excessive fertilization in the traditional scheme can be avoided, and the problem that nutrient surplus is easily caused after nutrient supplementation is solved.
Furthermore, the present solution is not limited to a specific calculation method of the nutrient concentration c, and one possible solution is: the nutrient concentration c required by each liquid adding point q is calculated by a plurality of liquid adding points q and a plurality of drying points p, and the method comprises the following steps: from the specified liquid adding point q and the liquid adding pointClosest drying pointCalculating the corresponding nutrient concentration，
Where k is a constant and is determined by the permeability efficiency of the soil.
When the scheme is adopted, in the process of supplementing the nutrient solution, nutrient supplementation is preferably carried out on the position with larger nutrient deviation, and after the time interval t is passed and the nutrient solution is fully permeated, humidity and/or nutrient supplementation is carried out according to the next measured value.
Furthermore, the present solution is not limited to the specific component of the nutrient concentration c, and one possible solution is: the nutrient concentration c comprises the concentration of at least one of nitrogen, phosphorus and potassium, and when the scheme is adopted, the nutrient solution can supplement the at least one of nitrogen, phosphorus and potassium.
Further, in order to ensure the reliability of the data, one possible scheme is: the size of the grid is not smaller than 6×6, and when the scheme is adopted, the generated humidity offset function S and the actual humidity error of the soil can be within an allowable range.
The utility model also provides an intelligent agriculture integrated control system, include:
the sampling module is used for establishing grids for the planting area, measuring soil humidity of a designated depth at each sampling point of the grids at a fixed time interval t and sequentially generating a humidity matrix A at a corresponding moment;
a preprocessing module for calculating humidity offset matrix Wherein A 0 is a preset humidity matrix;
The processor is used for carrying out surface fitting on the humidity offset matrix A S to obtain a humidity offset function S and calculating a plurality of drying points p and corresponding liquid adding amounts;
and the liquid adding module is used for adding liquid to each drying point p.
Still further, to store the data for each component of the humidity offset matrix a S and the nutrient offset matrix B S, one possible solution is to: the preprocessing module comprises a plurality of buffers, and the buffers are used for storing matrix data and conveying the matrix data to the processor.
Compared with the prior art, the invention has the beneficial effects that:
1. Establishing a mathematical model through soil humidity of a plurality of sampling points in the grid, calculating to obtain a plurality of drying points p and corresponding liquid adding amounts, and adding liquid to each drying point p, so that excessive liquid adding in the traditional scheme can be avoided, and the problem that excessive humidity is easily caused after soil liquid adding is solved;
2. Before the dry point p and the corresponding liquid adding amount are calculated, curve fitting is carried out on the humidity offset matrix A S, and humidity offset of each coordinate position of soil can be reflected through a curve formed after fitting;
3. A mathematical model is built through the soil nutrient concentration of a plurality of sampling points in the grid, a plurality of liquid adding points q are obtained through calculation, and then nutrient solution with the nutrient concentration of c is supplemented for the soil by each liquid adding point q, so that excessive fertilization in the traditional scheme can be avoided, and the problem that nutrient surplus is easily caused after nutrient supplement is solved.
Drawings
FIG. 1 is a schematic flow chart of an intelligent agriculture integrated control method;
fig. 2 is a schematic block diagram of a smart agriculture integrated control system.
Detailed Description
It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The features and capabilities of the present invention are described in further detail below in connection with examples.
Examples:
referring to fig. 1, the intelligent agriculture integrated control method includes:
S1, establishing grids for planting areas, and measuring soil humidity of a specified depth at each sampling point of the grids at a fixed time interval t Sequentially generating a humidity matrix A at corresponding moments;
s2, starting from the second measurement, calculating a humidity offset matrix at the corresponding moment by using the humidity matrix A and a preset humidity matrix A 0 ；
S3, calculating a plurality of drying points p and corresponding liquid adding amounts by a humidity offset matrix A S;
S4, adding liquid to each drying point p,
Where i=1, 2,3 … … n, j=1, 2,3 … … m, n and m are positive integers.
The existing regulation and control process is difficult to control the humidity supplementing and nutrient supplementing quantity, an excessive supplementing scheme is adopted, soil humidity is easy to be excessively large, in the scheme, a mathematical model is built through the soil humidity of a plurality of sampling points in a grid, a plurality of drying points p and corresponding liquid adding quantities are obtained through calculation, liquid adding is carried out on each drying point p, excessive liquid adding in the traditional scheme can be avoided, and the problem that the humidity is excessively large after the soil liquid adding is easy to cause is solved.
In order to be able to react to humidity shifts of the soil at various coordinate positions, one possible solution is: calculating a plurality of drying points p and corresponding liquid adding amounts by the humidity offset matrix A S, wherein the method comprises the following steps: before the dry point p and the corresponding liquid adding amount are calculated, curve fitting is carried out on the humidity offset matrix A S, and when the scheme is adopted, the humidity offset of each coordinate position of the soil can be reflected through the curve formed after fitting.
The method for curve fitting is not limited uniquely, and comprises the following steps:
Performing curve fitting on the data in the humidity offset matrix A S along the x-axis direction to obtain a plurality of continuous curves L j;
and performing surface fitting on the curve L j along the y-axis direction to obtain a humidity offset function S.
With this scheme, the humidity offset function S is obtained by fitting values to the x-axis and the y-axis sequentially.
Preferably, in the present embodiment, the expression of L j is:
，。
Where k=1, 2, 3 … … n-1, 、、、The solution is obtained by the following equations:
；
；
；
。
When the scheme is adopted, the obtained curve L j is segmented in the [ k, k+1] interval in sequence and is a smooth curve, so that the soil humidity can be reflected more accurately.
One possible solution to reduce the amount of computation is: after calculating the humidity offset matrix a S, setting all element values with positive humidity values in the humidity offset matrix a S to zero, when the humidity value in the humidity offset matrix a S is positive, the humidity value of the corresponding sampling point is larger than the preset value, liquid adding is not needed, and the calculated amount can be reduced by setting the humidity value to zero.
Preferably, in the present embodiment, the local maximum point is calculated by the humidity offset function S, and the maximum point whose value is positive is taken as the drying point p, and the change point reflects that the humidity offset value is reduced around the maximum point.
In order to solve the problem of excess soil nutrients caused by excessive fertilization, one possible scheme is as follows: detecting the nutrient concentration and sequentially generating a nutrient matrix B at corresponding moment while detecting the soil humidity;
calculating a nutrient shift matrix from the corresponding nutrient matrix B and the preset nutrient matrix B 0 from the second measurement ；
Performing curved surface fitting on the nutrient offset matrix B S and calculating a plurality of liquid adding points q;
The nutrient concentration c required for each feeding point q is calculated from a number of feeding points q and a number of drying points p before feeding.
When the scheme is adopted, a mathematical model is built through the soil nutrient concentration of a plurality of sampling points in the grid, a plurality of liquid adding points q are obtained through calculation, and then each liquid adding point q is used for supplementing nutrient solution with the nutrient concentration of c to the soil, so that excessive fertilization in the traditional scheme can be avoided, and the problem that nutrient surplus is easily caused after nutrient supplementation is solved.
The scheme is not limited to a specific calculation method of the nutrient concentration c, and one possible scheme is as follows: the nutrient concentration c required by each liquid adding point q is calculated by a plurality of liquid adding points q and a plurality of drying points p, and the method comprises the following steps: from the specified liquid adding point q and the liquid adding pointClosest drying pointCalculating the corresponding nutrient concentration，
Where k is a constant and is determined by the permeability efficiency of the soil.
When the scheme is adopted, in the process of supplementing the nutrient solution, nutrient supplementation is preferably carried out on the position with larger nutrient deviation, and after the time interval t is passed and the nutrient solution is fully permeated, water and/or nutrient supplementation is carried out according to the next measured value.
The present solution is not limited to the specific components of the nutrient concentration c, and one possible solution is: the nutrient concentration c comprises the concentration of at least one of nitrogen, phosphorus and potassium, and when the scheme is adopted, the nutrient solution can supplement the at least one of nitrogen, phosphorus and potassium.
In order to ensure the reliability of the data, one possible scheme is: the size of the grid is not smaller than 6×6, and when the scheme is adopted, the generated humidity offset function S and the actual humidity error of the soil can be within an allowable range.
Referring to fig. 2, the present solution further provides an intelligent agriculture integrated control system, including:
the sampling module is used for establishing grids for the planting area, measuring soil humidity of a designated depth at each sampling point of the grids at a fixed time interval t and sequentially generating a humidity matrix A at a corresponding moment;
a preprocessing module for calculating humidity offset matrix Wherein A 0 is a preset humidity matrix;
a processor for performing surface fitting on the humidity offset matrix A S to obtain a humidity offset function Calculating a plurality of drying points p and corresponding liquid adding amounts;
and the liquid adding module is used for adding liquid to each drying point p, and specifically, the water spraying port of the liquid adding module is adjusted to a specified liquid adding point q and a midpoint between the drying point p closest to the liquid adding point p to spray nutrient solution.
For storing the data of each component in the humidity shift matrix a S and the nutrient shift matrix B S, one possible solution is: the preprocessing module comprises a plurality of buffers, and the buffers are used for storing matrix data and conveying the matrix data to the processor.
The working principle of the embodiment is as follows:
Measuring the soil humidity and the concentration of at least one of nitrogen, phosphorus and potassium at a specified depth through a sampling module, correspondingly calculating a humidity offset matrix and a nutrient offset matrix, performing surface fitting on the humidity offset matrix and the nutrient offset matrix respectively to obtain a humidity offset function and a nutrient offset function, calculating a dry point through the humidity offset function, and calculating a water supplementing point through the nutrient offset function.
In order to solve the problem that the humidity is overlarge easily caused after the soil is added with liquid, in the scheme, a mathematical model is built through the soil humidity of a plurality of sampling points in the grid, a plurality of drying points p and corresponding liquid adding amounts are obtained through calculation, and then each drying point p is added with liquid, so that the problem that the humidity is overlarge easily caused after the soil is added with liquid in a traditional scheme can be avoided.
In order to obtain the humidity offset of each coordinate position of the soil, in the scheme, the humidity offset matrix A S is subjected to surface fitting before the dry point p and the corresponding liquid adding amount are calculated, and the humidity offset of each coordinate position of the soil can be reflected by the curved surface formed after fitting.
In order to solve the problem that the nutrient is easy to be excessive after nutrient supplement, in the scheme, a mathematical model is built through the soil nutrient concentration of a plurality of sampling points in the grid, a plurality of liquid adding points q are obtained through calculation, and then each liquid adding point q is used for supplementing a nutrient solution with the nutrient concentration of c to the soil, so that excessive fertilization in the traditional scheme can be avoided, and the problem that the nutrient is easy to be excessive after nutrient supplement is solved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The intelligent agriculture integrated control method is characterized by comprising the following steps:
Establishing a grid for the planting area, and measuring soil humidity at a specified depth at each sampling point of the grid at fixed time intervals t Sequentially generating a humidity matrix A at corresponding moments;
From the second time the measurement is started and the measurement is started, calculating humidity offset matrix at corresponding moment from humidity matrix A and preset humidity matrix A 0 Performing surface fitting on the humidity offset matrix A S;
Calculating a plurality of drying points p and corresponding liquid adding amounts by a humidity offset matrix A S;
each drying point p is filled with liquid,
Wherein i=1, 2,3 … … n, j=1, 2,3 … … m, n and m are positive integers;
The surface fitting comprises the following steps:
Performing curve fitting on the data in the humidity offset matrix A S along the x-axis direction to obtain a plurality of continuous curves ，；
Performing surface fitting on the curve L j along the y-axis direction to obtain a humidity offset function S;
Wherein the method comprises the steps of =1、2、3……n-1，、、、The solution is obtained by the following equations:
；
；
；
；
Detecting the nutrient concentration and sequentially generating a nutrient matrix B at corresponding moment while detecting the soil humidity;
calculating a nutrient shift matrix from the corresponding nutrient matrix B and the preset nutrient matrix B 0 from the second measurement ；
Performing curved surface fitting on the nutrient offset matrix B S and calculating a plurality of liquid adding points q;
Before adding liquid, calculating the nutrient concentration c required by each liquid adding point q by a plurality of liquid adding points q and a plurality of drying points p;
The nutrient concentration c required by each liquid adding point q is calculated by a plurality of liquid adding points q and a plurality of drying points p, and the liquid adding points q and the liquid adding points are designated Closest drying pointCalculating the corresponding nutrient concentration，
Where k is a constant and is determined by the permeability efficiency of the soil.
2. The smart agriculture integrated control method according to claim 1, wherein after calculating the humidity offset matrix a S, all element values in the humidity offset matrix a S, for which the humidity value is positive, are set to zero.
3. The smart agriculture integrated control method according to claim 1, wherein the nutrient concentration c includes a concentration of at least one of nitrogen, phosphorus, and potassium.
4. The smart agriculture integrated control method according to claim 1, wherein the size of the grid is not less than 6 x 6.
5. An intelligent agriculture integrated control system for implementing the intelligent agriculture integrated control method according to claim 1, the intelligent agriculture integrated control system comprising:
the sampling module is used for establishing grids for the planting area, measuring soil humidity of a designated depth at each sampling point of the grids at a fixed time interval t and sequentially generating a humidity matrix A at a corresponding moment;
a preprocessing module for calculating humidity offset matrix ；
A processor for performing surface fitting on the humidity offset matrix A S to obtain a humidity offset functionCalculating a plurality of drying points p and corresponding liquid adding amounts;
and the liquid adding module is used for adding liquid to each drying point p.
6. The intelligent agriculture integrated control system of claim 5, wherein the preprocessing module comprises a plurality of buffers for storing matrix data and delivering the matrix data to the processor.
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| CN109003198A (en) * | 2018-06-22 | 2018-12-14 | 肖晓飞 | A kind of precision agriculture management platform and method based on big data technology |
| CN110583445A (en) * | 2019-09-20 | 2019-12-20 | 中国水利水电科学研究院 | Intelligent water-saving regulation and control system for wheat irrigation |
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| CA3099262A1 (en) * | 2018-05-04 | 2019-11-07 | Agnetix, Inc. | Methods, apparatus, and systems for lighting and distributed sensing in controlled agricultural environments |
| CN115184353A (en) * | 2022-07-11 | 2022-10-14 | 中国农业科学院郑州果树研究所 | Water and fertilizer monitoring and analyzing system and method for greenhouse grapes |
| CN117063818A (en) * | 2023-08-21 | 2023-11-17 | 齐鲁师范学院 | Accurate regulation and control system of liquid manure |
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| CN109003198A (en) * | 2018-06-22 | 2018-12-14 | 肖晓飞 | A kind of precision agriculture management platform and method based on big data technology |
| CN110583445A (en) * | 2019-09-20 | 2019-12-20 | 中国水利水电科学研究院 | Intelligent water-saving regulation and control system for wheat irrigation |
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