CN105631757A - System and method for automatically fertilizing according to change of crop growth matrix - Google Patents
System and method for automatically fertilizing according to change of crop growth matrix Download PDFInfo
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- 239000011159 matrix material Substances 0.000 title claims abstract description 12
- 239000003337 fertilizer Substances 0.000 claims abstract description 98
- 230000004720 fertilization Effects 0.000 claims abstract description 86
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 229910052799 carbon Inorganic materials 0.000 claims abstract description 8
- 239000000203 mixture Substances 0.000 claims abstract description 7
- 229910052698 phosphorus Inorganic materials 0.000 claims abstract description 5
- 235000015097 nutrients Nutrition 0.000 claims abstract description 4
- 239000000758 substrate Substances 0.000 claims description 135
- 230000008635 plant growth Effects 0.000 claims description 68
- 238000003973 irrigation Methods 0.000 claims description 34
- 230000002262 irrigation Effects 0.000 claims description 34
- 239000002689 soil Substances 0.000 claims description 20
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 17
- 235000007164 Oryza sativa Nutrition 0.000 claims description 10
- 210000000582 semen Anatomy 0.000 claims description 10
- KWYUFKZDYYNOTN-UHFFFAOYSA-M Potassium hydroxide Chemical compound [OH-].[K+] KWYUFKZDYYNOTN-UHFFFAOYSA-M 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 9
- 239000000618 nitrogen fertilizer Substances 0.000 claims description 9
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- 229940072033 potash Drugs 0.000 claims description 9
- BWHMMNNQKKPAPP-UHFFFAOYSA-L potassium carbonate Substances [K+].[K+].[O-]C([O-])=O BWHMMNNQKKPAPP-UHFFFAOYSA-L 0.000 claims description 9
- 235000015320 potassium carbonate Nutrition 0.000 claims description 9
- 239000000463 material Substances 0.000 claims description 8
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- 235000000536 Brassica rapa subsp pekinensis Nutrition 0.000 claims description 5
- 241000499436 Brassica rapa subsp. pekinensis Species 0.000 claims description 5
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- 241000219146 Gossypium Species 0.000 claims description 5
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- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 5
- 150000001875 compounds Chemical class 0.000 claims description 5
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- 239000008267 milk Substances 0.000 claims description 5
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- 229910052700 potassium Inorganic materials 0.000 claims description 5
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- 235000009566 rice Nutrition 0.000 claims description 5
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 4
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a system for automatically fertilizing according to change of crop growth matrix. The system comprises a crop growth matrix detection module, a central analysis control module and an automatic fertilization module; the operation method in the central analysis control module is to establish a relation formulation between a crop growth matrix changing result and the fertilization information data; the formulation is Phi= (S,P)=f (F,R,W,C,T,M,O) and the function formulation f expresses the corresponding relation between the growth matrix change and the fertilization information; and the fertilization information comprises crop related information, the fertilizer variety, fertilizer weight, concentration, etc. The system disclosed by the invention can perform automatic fertilization when the growth matrix changes in order to compensate the nutrient element needed in the growth process of the crop, saves the labor cost, and realizes the automatic fertilization. The invention can automatically regulate the crop growth and development and the form and the constitution, shortens the cultivation period, improves the quality, greatly reduces the energy consumption and reduces the cost.
Description
Technical field
The present invention relates to crop fertilization field, specifically refer to a kind of system and Apparatus for () and method therefor changing automatic fertilization according to plant growth substrate.
Background technology
Agricultural development receives more and more attention, and starts in development face, agricultural side to stride forward towards automatization and unmanned direction. Thering is provided while the optimum growing environment of crop, the performance indications of growing environment residing for crop are exercised supervision by people, to ensure that crop is with best growth.
In the agricultural production process of present stage, seedling medium plays very important effect, certain nutrient substance can not only be provided can also well to maintain the growth of crops root system for crop growth, the condition that fixing crops rice shoot sprouts for seed and root growth and development offer is superior. The substrate having seedlings and soil is Nutrition Soil or equally usual earth. The matrix species of non-soil culture is more, has the materials such as sand, gravel, Shanghai slag, wood flour, charring rice husk, Vermiculitum, perlite, rock wool, bog moss. Suitable substrate should be that unit weight is less, can firm rice shoot, easily carry again; Total idle degree is relatively big, and atmosphere volume is suitable with capillary tube volume proportioning, and WGR is moderate, is conducive to the breathing of root system, absorption and growth promoter; Do not carry pest and disease damage; Resource richness is thick, draws materials conveniently, and capital is cheap. But nutritional condition in the physicochemical property of above-mentioned substrate, soil or water environment, acid-base value etc. are not usually meet crop demand.
CN201310230043.4 discloses irrigation decision method and the irrigation system of a kind of substrate culture crop, and the method comprises the following steps: the collection using calibrated dielectric type soil moisture sensor to carry out water supply in media data; Adopt the method for numerical simulation driven based on dynamic data, set up water supply in media migration and crop root distributed model; Compared with the crop irrigation target water content preset by substrate wetting body water content, and the matching degree of the substrate wetting body that obtains of model and crop root zone carries out irrigating decision data, and invent the irrigation decision of a kind of substrate culture crop according to the method.
But above-mentioned patent is only to provide and a kind of detects the moisture method to preset duty in substrate, but in the growth course of crop, substrate influence factor has a lot, water is one of which condition, above-mentioned patent can not detect other performance indications data in soil matrix or water environment, and supplement fertilizer needed for crop in time according to achievement data, change, also without research report, the method and apparatus realizing automatic fertilization according to plant growth substrate.
Summary of the invention
For solving the problems referred to above, the present invention provides a kind of system changing automatic fertilization according to plant growth substrate, it is characterised in that this system includes plant growth substrate detection module, central analysis controls module and automatic fertilization module;
Wherein plant growth substrate detection module measures plant growth substrate data, detects equipment including plant growth substrate;
Central analysis controls module and includes growth substrate analysis module, computing module, input module, and input module connects growth substrate analysis module, growth substrate analysis module concatenation operation module;
Described growth substrate analysis module receives growth substrate data and is analyzed, and carries out substrate mutation analysis with growth substrate normal data comparison, and exports substrate result of variations to computing module;
Described computing module is provided with the operational formula between substrate result of variations and fertilising information, obtains the fertilising information matched with substrate result of variations according to operational formula, and be transferred to automatic fertilization module;
Described input module includes the fertilising input of information parameter and crop relevant information input and plant growth substrate data input pin;
Automatic fertilization module according to fertilising information to crop fertilization;
Described substrate change deviation value is determined by monitor value and the plant growth extraction standard comparing of plant growth substrate data variation, defining method is when described plant growth substrate data variation detected value-plant growth extraction standard data, is this thing growth substrate change deviation value;
Described plant growth extraction standard data refer to according to the growth substrate data that specific crop varieties growth characters needs are determined, are pre-stored in central analysis control system before detection plant growth substrate data;
Described plant growth substrate data include the data of beneficial organism bacterial content in substrate physicochemical property, substrate or water environment nutritive element content, soil humidity, substrate or water environment pH value, substrate or water environment;
Described substrate includes soil, sand, gravel, Shanghai slag, wood flour, charring rice husk, Vermiculitum, perlite, rock wool, bog moss; Described substrate physicochemical property includes unit weight, total porosity, macrovoid ratio, little void ratio; Nitrogen, phosphorus, potassium, organic matter is included including described matrix nutrition element;
Preferably, described plant growth substrate detection equipment includes substrate physicochemical property detecting instrument, nutritive element content detecting instrument, humidity measurement instrument, pH detect meter.
Preferably, described plant growth substrate data are also by pre-entering; Described pre-entering refers to that staff is input to adopting chemical standard method to detect the plant growth substrate data obtained or historical analysis result data in central analysis control module by input module.
Preferably, the operational formula that described central analysis controls in module is:
In described budget formulaRepresent the combination of substrate result of variations and crop relevant information;
Described operational formula f represents combinationAnd the corresponding relation between fertilising information;
Described fertilising information includes fertilizer variety, fertilizer gross weight, concentration, fertilization time and automatic fertilization mode;
S described in operational formula represents substrate result of variations; Described P represents crop relevant information; Described F represents the kind of fertilizer; Described R represents the part by weight of each kind of described fertilizer; Described W represents the weight of the described every mu of material that applied fertilizer; Described C represents the concentration of fertilizer; Described T represents fertilization time, represents that detection starts the time of fertilising, initial time of namely applying fertilizer after obtaining substrate result of variations; Described M represents automatic fertilization mode; Described O represents other information;
Other information described include fertilising cycle, automatic fertilization flow, abnormal information;
Wherein S, P, F, R, W, C, T, M, the O in operational formula can be undertaken manually setting, adjust or preserving by input module before automatic fertilization.
Preferably, described crop relevant information includes crop varieties, crop floor space, plant growth period;
Described crop varieties includes Semen arachidis hypogaeae, Semen sojae atricolor, Fructus Lycopersici esculenti, Chinese cabbage, Oryza sativa L., Cotton Gossypii, Rhizoma Nelumbinis, Radix Ipomoeae;
Described plant growth includes sowing time, seedling stage, florescence, fruiting period, period of maturation period.
Preferably, each automatic fertilization value of information in the optional operational formula prestored before automatic fertilization.
Preferably, described fertilizer variety F includes nitrogenous fertilizer, potash fertilizer, phosphate fertilizer, compound fertilizer, azotobacteria fertilizer, microorganism fertilizer, organic carbon fertilizer, water soluble fertilizer;
Described fertilization mode M includes deep placement, shallow executes, top application, even execute, rush execute, stem and leaf surface is executed, spread fertilizer over the fields, row replacement, spread manuer in holes, circulating application, spray.
Preferably, when wherein said substrate result of variations is soil nutrient elements potassium deficiency, described fertilization time 0��T��4h, the weight of the every mu of material that applied fertilizer is 1g��W��50kg, and fertilizer variety is potash fertilizer.
Preferably, wherein said substrate result of variations be the soil weight bigger than normal time, described fertilization time 0��T��4h, every mu applied fertilizer material weight be 1g��W��50kg, fertilizer variety is fertilizer.
Preferably, described automatic fertilization module includes fertilizer composition auto-scheduling system and automatic fertilization sprinkling irrigation or irrigation system;
Described fertilizer composition auto-scheduling system refers to accept fertilising information data and automatically configures the system of required fertilizer, including Weighing system, stirring system, fertilizer induction system;
Described automatic fertilization spray irrigation system includes permanent sprinkler system, semi fixation sprinkler irrigation system and movable sprinkler irrigation system;
Described automatic fertilization irrigation system includes drip irrigation system, micro-sprinkler irrigation system, spray system, buried irrigation system, tubelet effluent fill system and infiltrating irrigation system.
The present invention also provides for a kind of equipment group changing automatic fertilization according to plant growth substrate, it is characterised in that include plant growth substrate detection equipment, central analysis controls equipment and automatic fertilization equipment and is sequentially connected with;
Described plant growth substrate detection equipment refers to detection plant growth substrate data and is transferred to the equipment of central authorities' sub-control molding block;
Described central analysis control equipment refers to compare the plant growth substrate data detected and plant growth extraction standard data and obtains substrate change deviation value, by computing, substrate can be changed deviation value and fertilising information match, and also the equipment of fertile information parameter and plant growth substrate data can be inputted;
Described automatic fertilization equipment refers to accept central analysis and controls the fertilising information data of system output and carry out the system of automatic fertilization operation, forms automatic milk feeder and automatic fertilization sprinkling irrigation or drip irrigation appliance including fertilizer.
The present invention also provides for application said system or equipment group solves the automatic fertilization method that plant growth substrate changes, and wherein said crop varieties includes Semen arachidis hypogaeae, Semen sojae atricolor, Fructus Lycopersici esculenti, Chinese cabbage, Oryza sativa L., Cotton Gossypii, Rhizoma Nelumbinis, Radix Ipomoeae; Described fertilizer variety includes the moderate-element needed for nitrogenous fertilizer, potash fertilizer, phosphate fertilizer, compound fertilizer, azotobacteria fertilizer, microorganism fertilizer, organic carbon fertilizer, water soluble fertilizer, plant growing and trace element.
The present invention also provides for a kind of equipment group changing automatic fertilization according to plant growth substrate, it is characterised in that include plant growth substrate detection equipment, central analysis controls equipment and automatic fertilization equipment and is sequentially connected with;
Described plant growth substrate detection equipment refers to detection plant growth substrate data and is transferred to the equipment of central authorities' sub-control molding block;
Described central analysis controls equipment and refers to compare the plant growth substrate data detected and plant growth extraction standard data obtain substrate result of variations, computing can be passed through by substrate result of variations and fertilising information match, and also the equipment of fertile information parameter and plant growth substrate data can be inputted;
Described automatic fertilization equipment refers to accept central analysis and controls the fertilising information data of system output and carry out the system of automatic fertilization operation, forms automatic milk feeder and automatic fertilization sprinkling irrigation or drip irrigation appliance including fertilizer.
The present invention also provides for the upper described system or equipment group of application and solves the automatic fertilization method of plant growth substrate change, and wherein said crop varieties includes Semen arachidis hypogaeae, Semen sojae atricolor, Fructus Lycopersici esculenti, Chinese cabbage, Oryza sativa L., Cotton Gossypii, Rhizoma Nelumbinis, Radix Ipomoeae; Described fertilizer variety includes nitrogenous fertilizer, potash fertilizer, phosphate fertilizer, compound fertilizer, azotobacteria fertilizer, microorganism fertilizer, organic carbon fertilizer, water soluble fertilizer.
Beneficial effects of the present invention:
1, solving crop during growing when growth substrate change, automatic fertilization is to compensate the matrix environment change impact on its growth residing for crop;
2, human cost is saved, automatically detection growth substrate situation of change, it is achieved automatization applies fertilizer;
3, it is automatically adjusted growth promoter and morphogenesis, the shortening cultivation cycle of crop, improves quality, and energy consumption can be greatly reduced, reduce cost;
4, the method has monitoring and management function, it is achieved during plant growth, Automatic Topdressing System for Pipe is more intelligent and hommization.
Detailed description of the invention
Below the specific embodiment of the present invention is described further:
Embodiment 1
Using trophophase Rhizoma Nelumbinis as experiment crop, adopting system provided by the invention to solve the automatic fertilization problem according to the change of plant growth substrate, this system includes plant growth substrate detection module, central analysis controls module and automatic fertilization module;
Wherein plant growth substrate detection module measures plant growth substrate data, detects equipment including plant growth substrate;
Central analysis controls module and includes growth substrate analysis module, computing module, input module, and input module connects growth substrate analysis module and computing module;
Described growth substrate analysis module receives growth substrate data and is analyzed, and carries out substrate mutation analysis with growth substrate normal data comparison, and exports substrate result of variations to computing module;
Described computing module is provided with the operational formula between substrate result of variations and fertilising information, obtains the fertilising information matched with substrate result of variations according to operational formula, and be transferred to automatic fertilization module;
Described input module includes the fertilising adjustment input of information parameter and crop relevant information input and plant growth substrate data input pin.
Take Rhizoma Nelumbinis planting site matrix sample, atomic absorption spectrophotometry is adopted to measure the content 0.2% of potassium element in substrate, in Rhizoma Nelumbinis planting site soil, the content range of potassium element is 1��2.5%, and by central analysis control module obtain substrate result of variations S be in Rhizoma Nelumbinis planting site soil potassium element content on the low side, wherein crop relevant information P=(10 mu, trophophase, Rhizoma Nelumbinis)
The operational formula that described central analysis controls in module is:
Described F represents the kind of fertilizer, herein F=(fertilizer, nitrogenous fertilizer, phosphate fertilizer, potash fertilizer);
Described R represents the part by weight of each kind of described fertilizer, and R is W hereinFertilizer: WNitrogenous fertilizer: WPhosphate fertilizer: WPotash fertilizer=55:1:0.25:2;
Described W represents the gross weight of described fertilizer, herein W=10kg;
Described C represents the concentration of fertilizer, herein C=2%;
Described T represents fertilization time, herein fertilization time T=60 minute;
Described M represents automatic fertilization mode, and M=drip irrigation sprays herein;
Described O represents other fertilising information, does not have other fertilising information herein.
Above-mentioned fertilising information is transferred to automatic fertilization module, and automatic fertilization module to crop fertilization according to fertilising information, forms automatic milk feeder configuration fertilizer by fertilizer, and by automatic fertilization drip irrigation appliance, Rhizoma Nelumbinis is sprayed fertilising.
Embodiment 2
Using trophophase Radix Ipomoeae as testing crop, the humidity adopting soil moisture detection meter detection Radix Ipomoeae planting site soil is 45%, the humidity standard of Radix Ipomoeae planting site soil ranges for 70��80%, and controlling module by central analysis, to obtain substrate result of variations S be that Radix Ipomoeae planting site soil moisture is on the low side, wherein crop relevant information P=(10 mu, trophophase, Radix Ipomoeae)
The operational formula that described central analysis controls in module is:
Described F represents the kind of fertilizer, herein F=(fertilizer, nitrogenous fertilizer, phosphate fertilizer, potash fertilizer);
Described R represents the part by weight of each kind of described fertilizer, and R is W hereinFertilizer: WNitrogenous fertilizer: WPhosphate fertilizer: WPotash fertilizer=55:1.8:1:3;
Described W represents the gross weight of described fertilizer, herein W=10kg;
Described C represents the concentration of fertilizer, herein C=2%;
Described T represents fertilization time, herein fertilization time T=60 minute;
Described M represents automatic fertilization mode, and M=drip irrigation sprays herein;
Described O represents other fertilising information, does not have other fertilising information herein.
Above-mentioned fertilising information is transferred to automatic fertilization module, and automatic fertilization module to crop fertilization according to fertilising information, forms automatic milk feeder configuration fertilizer by fertilizer, and by automatic fertilization drip irrigation appliance, Radix Ipomoeae is sprayed fertilising.
The announcement of book and instruction according to the above description, above-mentioned embodiment can also be modified and revise by those skilled in the art in the invention. Therefore, the invention is not limited in detailed description of the invention disclosed and described above, some modifications and changes of invention be should also be as falling in the scope of the claims of the present invention. Although additionally, employ some specific terms in this specification, but these terms are intended merely to convenient explanation, and the present invention does not constitute any restriction.
Claims (12)
1. the system changing automatic fertilization according to plant growth substrate, it is characterised in that this system includes plant growth substrate detection module, central analysis controls module and automatic fertilization module;
Wherein plant growth substrate detection module measures plant growth substrate data, detects equipment including plant growth substrate;
Central analysis controls module and includes growth substrate analysis module, computing module, input module, and input module connects growth substrate analysis module, growth substrate analysis module concatenation operation module;
Described growth substrate analysis module receives growth substrate data and is analyzed, and carries out substrate mutation analysis with growth substrate normal data comparison, and exports substrate result of variations to computing module;
Described computing module is provided with the operational formula between substrate result of variations and fertilising information, obtains the fertilising information matched with substrate result of variations according to operational formula, and be transferred to automatic fertilization module;
Described input module includes the fertilising input of information parameter and crop relevant information input and plant growth substrate data input pin;
Automatic fertilization module according to fertilising information to crop fertilization;
Described substrate change deviation value is determined by monitor value and the plant growth extraction standard comparing of plant growth substrate data variation, defining method is when described plant growth substrate data variation detected value-plant growth extraction standard data, is this thing growth substrate change deviation value;
Described plant growth extraction standard data refer to according to the growth substrate data that specific crop varieties growth characters needs are determined, are pre-stored in central analysis control system before detection plant growth substrate data;
Described plant growth substrate data include the data of beneficial organism bacterial content in substrate physicochemical property, substrate or water environment nutritive element content, soil humidity, substrate or water environment pH value, substrate or water environment;
Described substrate includes soil, sand, gravel, Shanghai slag, wood flour, charring rice husk, Vermiculitum, perlite, rock wool, bog moss; Described substrate physicochemical property includes unit weight, total porosity, macrovoid ratio, little void ratio; Nitrogen, phosphorus, potassium, organic matter is included including described matrix nutrition element.
2. system according to claim 1, it is characterised in that described plant growth substrate detection equipment includes substrate physicochemical property detecting instrument, nutritive element content detecting instrument, humidity measurement instrument, pH detect meter.
3. system according to claim 1, it is characterised in that described plant growth substrate data are also by pre-entering; Described pre-entering refers to that staff is input to adopting chemical standard method to detect the plant growth substrate data obtained or historical analysis result data in central analysis control module by input module.
4. system according to claim 1, it is characterised in that the operational formula that described central analysis controls in module is:
In described budget formulaRepresent the combination of substrate result of variations and crop relevant information;
Described operational formula f represents combinationAnd the corresponding relation between fertilising information;
Described fertilising information includes fertilizer variety, fertilizer gross weight, concentration, fertilization time and automatic fertilization mode;
S described in operational formula represents substrate result of variations; Described P represents crop relevant information; Described F represents the kind of fertilizer; Described R represents the part by weight of each kind of described fertilizer; Described W represents the weight of the described every mu of material that applied fertilizer; Described C represents the concentration of fertilizer; Described T represents fertilization time, represents that detection starts the time of fertilising, initial time of namely applying fertilizer after obtaining substrate result of variations; Described M represents automatic fertilization mode; Described O represents other information;
Other information described include fertilising cycle, automatic fertilization flow, abnormal information;
Wherein S, P, F, R, W, C, T, M, the O in operational formula can be undertaken manually setting, adjust or preserving by input module before automatic fertilization.
5. system according to claim 4, it is characterised in that described crop relevant information includes crop varieties, crop floor space, plant growth period;
Described crop varieties includes Semen arachidis hypogaeae, Semen sojae atricolor, Fructus Lycopersici esculenti, Chinese cabbage, Oryza sativa L., Cotton Gossypii, Rhizoma Nelumbinis, Radix Ipomoeae;
Described plant growth includes sowing time, seedling stage, florescence, fruiting period, period of maturation period.
6. system according to claim 4, it is characterised in that each automatic fertilization value of information in the optional operational formula prestored before automatic fertilization.
7. system according to claim 4, it is characterised in that described fertilizer variety F includes nitrogenous fertilizer, potash fertilizer, phosphate fertilizer, compound fertilizer, azotobacteria fertilizer, microorganism fertilizer, organic carbon fertilizer, water soluble fertilizer;
Described fertilization mode M includes deep placement, shallow executes, top application, even execute, rush execute, stem and leaf surface is executed, spread fertilizer over the fields, row replacement, spread manuer in holes, circulating application, spray.
8. system according to claim 4, it is characterised in that when wherein said substrate result of variations is soil nutrient elements potassium deficiency, described fertilization time 0��T��4h, the weight of the every mu of material that applied fertilizer is 1g��W��50kg, and fertilizer variety is potash fertilizer.
9. system according to claim 4, it is characterised in that wherein said substrate result of variations be the soil weight bigger than normal time, described fertilization time 0��T��4h, every mu applied fertilizer material weight be 1g��W��50kg, fertilizer variety is fertilizer.
10. system according to claim 1, it is characterised in that described automatic fertilization module includes fertilizer composition auto-scheduling system and automatic fertilization sprinkling irrigation or irrigation system;
Described fertilizer composition auto-scheduling system refers to accept fertilising information data and automatically configures the system of required fertilizer, including Weighing system, stirring system, fertilizer induction system;
Described automatic fertilization spray irrigation system includes permanent sprinkler system, semi fixation sprinkler irrigation system and movable sprinkler irrigation system;
Described automatic fertilization irrigation system includes drip irrigation system, micro-sprinkler irrigation system, spray system, buried irrigation system, tubelet effluent fill system and infiltrating irrigation system.
11. the equipment group changing automatic fertilization according to plant growth substrate, it is characterised in that include plant growth substrate detection equipment, central analysis controls equipment and automatic fertilization equipment and is sequentially connected with;
Described plant growth substrate detection equipment refers to detection plant growth substrate data and is transferred to the equipment of central authorities' sub-control molding block;
Described central analysis control equipment refers to compare the plant growth substrate data detected and plant growth extraction standard data and obtains substrate change deviation value, by computing, substrate can be changed deviation value and fertilising information match, and also the equipment of fertile information parameter and plant growth substrate data can be inputted;
Described automatic fertilization equipment refers to accept central analysis and controls the fertilising information data of system output and carry out the system of automatic fertilization operation, forms automatic milk feeder and automatic fertilization sprinkling irrigation or drip irrigation appliance including fertilizer.
12. the equipment group described in system or 11 solves the automatic fertilization method that plant growth substrate changes described in application claim 1, wherein said crop varieties includes Semen arachidis hypogaeae, Semen sojae atricolor, Fructus Lycopersici esculenti, Chinese cabbage, Oryza sativa L., Cotton Gossypii, Rhizoma Nelumbinis, Radix Ipomoeae; Described fertilizer variety includes the moderate-element needed for nitrogenous fertilizer, potash fertilizer, phosphate fertilizer, compound fertilizer, azotobacteria fertilizer, microorganism fertilizer, organic carbon fertilizer, water soluble fertilizer, plant growing and trace element.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106248523A (en) * | 2016-08-26 | 2016-12-21 | 合肥若涵信智能工程有限公司 | Soil monitoring system based on internet of things |
| CN106613916A (en) * | 2017-01-11 | 2017-05-10 | 四川邡牌种业有限公司 | Three-line hybrid rice combination breeding method |
| CN106718848A (en) * | 2017-01-11 | 2017-05-31 | 四川邡牌种业有限公司 | A kind of waxy wheat hybrid seed production method |
| CN106797745A (en) * | 2017-01-11 | 2017-06-06 | 四川邡牌种业有限公司 | A kind of paddy rice intelligence precisely fertilizing method high |
| CN107082672A (en) * | 2017-05-12 | 2017-08-22 | 北京中农富通园艺有限公司 | Tomato rock wool substrate culture nutrient solution |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206459A (en) * | 2007-12-12 | 2008-06-25 | 中国水利水电科学研究院 | Automatic control system and method for trickle irrigation of water, fertilizer and drug underground |
| CN103329780A (en) * | 2013-06-09 | 2013-10-02 | 江苏大学 | Irrigation decision method and irrigation system for substrate culture crops |
| CN103718728A (en) * | 2013-12-20 | 2014-04-16 | 广西捷佳润农业科技有限公司 | Water and fertilizer integrated precision management system |
| CN104216445A (en) * | 2014-09-02 | 2014-12-17 | 大禹节水（天津）有限公司 | Greenhouse flower auto-irrigation control system and control method thereof |
-
2015
- 2015-12-31 CN CN201511032494.2A patent/CN105631757A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206459A (en) * | 2007-12-12 | 2008-06-25 | 中国水利水电科学研究院 | Automatic control system and method for trickle irrigation of water, fertilizer and drug underground |
| CN103329780A (en) * | 2013-06-09 | 2013-10-02 | 江苏大学 | Irrigation decision method and irrigation system for substrate culture crops |
| CN103718728A (en) * | 2013-12-20 | 2014-04-16 | 广西捷佳润农业科技有限公司 | Water and fertilizer integrated precision management system |
| CN104216445A (en) * | 2014-09-02 | 2014-12-17 | 大禹节水（天津）有限公司 | Greenhouse flower auto-irrigation control system and control method thereof |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106248523A (en) * | 2016-08-26 | 2016-12-21 | 合肥若涵信智能工程有限公司 | Soil monitoring system based on internet of things |
| CN106613916A (en) * | 2017-01-11 | 2017-05-10 | 四川邡牌种业有限公司 | Three-line hybrid rice combination breeding method |
| CN106718848A (en) * | 2017-01-11 | 2017-05-31 | 四川邡牌种业有限公司 | A kind of waxy wheat hybrid seed production method |
| CN106797745A (en) * | 2017-01-11 | 2017-06-06 | 四川邡牌种业有限公司 | A kind of paddy rice intelligence precisely fertilizing method high |
| CN107082672A (en) * | 2017-05-12 | 2017-08-22 | 北京中农富通园艺有限公司 | Tomato rock wool substrate culture nutrient solution |
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Application publication date: 20160601 |