CN117193437A - Forestry seedling cultivation system and method - Google Patents
Forestry seedling cultivation system and method Download PDFInfo
- Publication number
- CN117193437A CN117193437A CN202311174145.9A CN202311174145A CN117193437A CN 117193437 A CN117193437 A CN 117193437A CN 202311174145 A CN202311174145 A CN 202311174145A CN 117193437 A CN117193437 A CN 117193437A
- Authority
- CN
- China
- Prior art keywords
- seedling
- illumination intensity
- area
- temperature
- ith
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000005286 illumination Methods 0.000 claims abstract description 80
- 238000012544 monitoring process Methods 0.000 claims description 23
- 238000011217 control strategy Methods 0.000 claims description 12
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000005251 gamma ray Effects 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 3
- 238000012364 cultivation method Methods 0.000 description 3
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 241001330002 Bambuseae Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003631 expected effect Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 230000003245 working effect Effects 0.000 description 1
Classifications
-
- 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
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Landscapes
- Cultivation Of Plants (AREA)
Abstract
The invention belongs to the technical field of seedling cultivation systems, and discloses a system and a method for forestry seedling cultivation, wherein a seedling cultivation room is divided into a plurality of areas, each area is provided with a sensor for collecting dynamic information of each area in all time periods, the change of temperature and illumination intensity of all areas of a barrel in historical time periods is analyzed, whether the temperature and illumination intensity of each area need to be adjusted is judged, if so, the adjustment quantity of the temperature and illumination intensity is calculated according to the area and the perimeter of each area, and the temperature and illumination intensity of each seedling in the seedling cultivation room are ensured to be consistent.
Description
Technical Field
The invention belongs to the technical field of seedling cultivation systems, and particularly relates to a seedling cultivation system and a seedling cultivation method.
Background
The seedling raising means that the seedlings are cultivated in a nursery, a hotbed or a greenhouse, so that the seedlings are transplanted in the soil for planting, and particularly the seedling raising is carried out in a stage that the seedlings are protected manually until the seedlings can survive independently when the plants are tiny, so that the seedlings are grown in a strong and semi-harvest manner, and the seedling raising is a very main work.
The temperature and the illumination intensity of the seedling growth in the whole seedling growing chamber are kept all the time through a plurality of temperature control devices and illumination intensity devices in the seedling growing chamber, but the use degree of each device is inconsistent due to the plurality of devices in the seedling growing chamber, so that the working effects of different devices are inconsistent, the seedling growing environment of each region in the seedling growing chamber is deviated, and the expected effect of the cultivation of all seedlings cannot be ensured.
Meanwhile, in the seedling growing process, the current seedling growing state is observed manually, so that the requirement on experience of seedling cultivating staff is high, and meanwhile, misjudgment is likely to occur, so that the cultivation failure is caused.
Therefore, the invention provides a system and a method for cultivating forestry seedling.
Disclosure of Invention
The invention aims to provide a system and a method for cultivating forestry seedling, which are used for solving the problems faced in the background technology.
The aim of the invention can be achieved by the following technical scheme:
an forestry seedling growing system, the system comprising: the system comprises an adjusting module, a real-time data acquisition module, a data processing module, a data analysis module and a control module;
the adjusting module comprises a plurality of independent temperature control equipment bodies and illumination intensity adjusting equipment bodies, and is distributed in the seedling raising chamber and used for adjusting the seedling raising temperature and illumination intensity in the seedling raising chamber;
the data acquisition module comprises a plurality of temperature acquisition sensors and illumination intensity acquisition sensors, is distributed in the seedling raising chamber and is used for acquiring the real-time regional temperature and regional illumination intensity in the seedling raising chamber;
the data integration module is used for integrating the data acquired by the data acquisition module to form a unified database;
the data analysis module is used for analyzing the real-time data information and the historical data information in the database and then making a seedling room temperature control strategy and an illumination intensity control strategy;
the control module is used for controlling the adjusting module to adjust the temperature and the illumination intensity in the seedling raising chamber according to the temperature control strategy and the illumination intensity control strategy of the seedling raising chamber.
As a further description of the solution of the present invention, the working process of the data acquisition module includes:
dividing a seedling raising room into n areas, wherein each area is provided with a corresponding temperature acquisition sensor and an illumination intensity acquisition sensor, and each area is provided with a corresponding temperature control equipment body and an illumination intensity adjustment equipment body;
dynamic information of each region of the nursery is collected in all time periods respectively.
As a further description of the solution of the present invention, the working process of the data analysis module includes: acquiring data T of temperature change with time in the ith region history period i (t) acquiring data L of the change of the illumination intensity with time in the ith region history period i (t), wherein i ε n;
respectively calculating temperature adjustment indexes of the ith areaAnd (i) an illumination intensity adjustment index for the ith area>
Wherein t is 1 Is the initial time of the history period, t 2 At the current moment, rho and tau are respectively weight coefficients;
index of temperature adjustment of the ith zoneTemperature index threshold region preset with systemMeta->In contrast, if->Otherwise, adjusting the temperature of the ith area;
index of temperature adjustment of the ith zoneTemperature threshold interval preset with the system->In contrast, if->Otherwise, the illumination intensity of the ith area is adjusted.
As a further description of the solution of the present invention, the method for adjusting the temperature of the i-th area includes:
acquiring the ith area M i And the ith area circumference C i ；
The i-th zone temperature adjustment amount is:
wherein mu T Is a conversion function; m is M 0 Is an area standard reference value; gamma ray T Is a perimeter area ratio reference coefficient; alpha T 、β T Is a preset proportionality coefficient.
As a further description of the solution of the present invention, the method for adjusting the illumination intensity of the ith area includes:
acquiring the ith area M i And the ith area circumference C i ；
The adjustment amount of the illumination intensity of the ith area is as follows:
wherein μ is a conversion function; m is M 0 Is an area standard reference value; gamma ray L Is a perimeter area ratio reference coefficient; alpha L 、β L Is a preset proportionality coefficient.
As a further description of the solution of the present invention, the system further includes a temperature control device body state monitoring module:
acquiring the current temperature T of the ith region i (t 2 ) Calculating the state monitoring index of the body of the temperature control equipment in the ith area:
will beComparing with a preset target threshold value, if ∈>If the state of the temperature control equipment body in the ith area is larger than the preset target threshold value, the state of the temperature control equipment body in the ith area is abnormal, otherwise, the state of the temperature control equipment body in the ith area is normal.
As a further description of the solution of the present invention, the system further includes a lighting intensity adjustment device body state monitoring module:
acquiring current illumination intensity L of ith area i (t 2 ) Calculating the state monitoring index of the body of the ith area illumination intensity adjusting device:
will omega i Comparing with a preset target threshold value, if omega i If the illumination intensity of the ith area is larger than the preset target threshold value, the state of the body of the illumination intensity adjusting device of the ith area is abnormal, otherwise, the illumination intensity adjusting device of the ith area is indicatedThe state of the body is normal.
As a further description of the inventive arrangements, the system further comprises a seedling growth monitoring module:
the seedling growth monitoring module is used for collecting the growth height and the green leaf proportion of the seedlings based on machine vision, and judging the growth state of the seedlings according to the growth height and the green leaf proportion of the seedlings.
As a further description of the solution of the present invention, the operation of the seedling growth monitoring module includes:
the seedling height h, the volume V and the green leaf area S to be measured at the current stage are obtained, and the seedling growth state coefficient rho is calculated according to the following formula:
in the formula, h 0 For the height of the current stage of the seedling to be expected, V 0 For the current stage expected volume of seedlings, S 0 The green leaf area is expected for the current stage of seedlings;
comparing the seedling growth state coefficient rho with a threshold interval, if the seedling growth state coefficient rho belongs to the threshold interval, the seedling growth state is normal, if the seedling growth state coefficient rho is higher than the threshold interval, the seedling is overgrown, and if the seedling growth state coefficient rho is lower than the threshold interval, the seedling growth state is poor.
A cultivation method of an forestry seedling cultivation system adopts the forestry seedling cultivation system for cultivation.
The invention has the beneficial effects that:
1. according to the invention, the seedling raising room is divided into a plurality of areas, each area is provided with a sensor for collecting dynamic information of each area in all time periods, the change of the temperature and the illumination intensity of all areas of the barrel in the historical time periods is analyzed, whether the temperature and the illumination intensity of each area need to be adjusted or not is judged, if so, the adjustment quantity of the temperature and the illumination intensity is calculated according to the area and the perimeter of each area, and the temperature and the illumination intensity of each seedling in the seedling raising room are ensured to be consistent;
2. the invention collects the growth height and green leaf proportion of the seedling based on machine vision through the seedling growth monitoring module and according to the formulaCalculating seedling growth state coefficient ρ, judging from current stage to-be-measured seedling height h, volume V and green leaf area S, and judging from current state green leaf area and seedling volume ratio, and green leaf area and seedling volume ratio influence seedling growth state coefficient ρ great, avoid judging seedling growth state through seedling height and green leaf degree only, error appears.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the structure of the seedling cultivation system of 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, there is disclosed an forestry seedling growing system comprising: the system comprises an adjusting module, a real-time data acquisition module, a data processing module, a data analysis module and a control module;
the adjusting module comprises a plurality of independent temperature control equipment bodies and illumination intensity adjusting equipment bodies, and is distributed in the seedling raising chamber and used for adjusting the seedling raising temperature and illumination intensity in the seedling raising chamber;
the data acquisition module comprises a plurality of temperature acquisition sensors and illumination intensity acquisition sensors, is distributed in the seedling raising chamber and is used for acquiring the real-time regional temperature and regional illumination intensity in the seedling raising chamber;
the data integration module is used for integrating the data acquired by the data acquisition module to form a unified database;
the data analysis module is used for analyzing the real-time data information and the historical data information in the database and then making a seedling room temperature control strategy and an illumination intensity control strategy:
the control module is used for controlling the adjusting module to adjust the temperature and the illumination intensity in the seedling raising chamber according to the temperature control strategy and the illumination intensity control strategy of the seedling raising chamber.
The working process of the data acquisition module comprises the following steps:
dividing a seedling raising room into n areas, wherein each area is provided with a corresponding temperature acquisition sensor and an illumination intensity acquisition sensor, and each area is provided with a corresponding temperature control equipment body and an illumination intensity adjustment equipment body;
dynamic information of each region of the nursery is collected in all time periods respectively.
Through above-mentioned technical scheme, this embodiment is through dividing into a plurality of district with seedling raising room, and every district all is equipped with the sensor and gathers the dynamic information of every district in all time periods, and the change of the temperature and the illumination intensity of section of thick bamboo all regions in the historical time period to judge whether temperature and illumination intensity in each district need be adjusted, if need adjust, calculate the adjustment volume of temperature and illumination intensity according to the area and the girth in every district, guarantee that the temperature and the illumination intensity that each seedling in the seedling raising room is located keep unanimous.
Working process package of data analysis moduleThe method comprises the following steps: acquiring data T of temperature change with time in the ith region history period i (t) acquiring data L of the change of the illumination intensity with time in the ith region history period i (t), wherein i ε n;
respectively calculating temperature adjustment indexes of the ith areaAnd (i) an illumination intensity adjustment index for the ith area>
Wherein t is 1 Is the initial time of the history period, t 2 At the current moment, rho and tau are respectively weight coefficients;
index of temperature adjustment of the ith zoneTemperature index threshold interval preset by system +.>In contrast, if->Otherwise, adjusting the temperature of the ith area;
index of temperature adjustment of the ith zoneTemperature threshold interval preset with the system->In contrast, if->Otherwise, adjustThe illumination intensity of the ith area is integrated.
Through the technical scheme, the method and the device adopt the formula Calculating temperature adjustment index of ith area in seedling raising chamber>By the formula-> Calculating illumination intensity adjustment index of ith area in seedling raising chamber>Then the temperature adjustment index of the ith area is +.>Temperature index threshold interval preset by system +.>In contrast, if->Otherwise, adjusting the temperature of the ith area; temperature adjustment index of ith zone +.>Temperature threshold interval preset with the system->In contrast, ming->Otherwise, the illumination intensity of the ith area is adjusted.
Note that ρ and τ are weight coefficients, empirical values, and are set according to the current cultivation stage of seedling.
The method for adjusting the temperature of the ith area comprises the following steps:
acquiring the ith area M i And the ith area circumference C i ；
The i-th zone temperature adjustment amount is:
wherein mu T Is a conversion function; m is M 0 Is an area standard reference value; gamma ray T Is a perimeter area ratio reference coefficient; alpha T 、β T Is a preset proportionality coefficient.
The method for adjusting the illumination intensity of the ith area comprises the following steps:
acquiring the ith area M i And the ith area circumference C i ；
The adjustment amount of the illumination intensity of the ith area is as follows:
wherein μ is a conversion function; m is M 0 Is an area standard reference value; gamma ray L Is a perimeter area ratio reference coefficient; alpha L 、β L Is a preset proportionality coefficient.
Through the above technical solution, the present embodiment provides a specific numerical calculation method when the temperature and the illumination intensity of the i-th area need to be adjusted, respectively by the formula The temperature adjustment amount of the ith area is obtained by the formula +.>And calculating the illumination intensity adjustment quantity of the ith area.
Area standard reference value M 0 Circumference area ratio reference coefficient gamma T And gamma L Respectively adjusting the specification setting of the equipment body according to the shape of the temperature control equipment body and the illumination intensity; preset coefficient alpha T 、β T 、α L And beta L The settings are selected based on empirical data and will not be described in further detail herein.
The system also comprises a temperature control equipment body state monitoring module:
acquiring the current temperature T of the ith region i (t 2 ) Calculating the state monitoring index of the body of the temperature control equipment in the ith area:
will beComparing with a preset target threshold value, if ∈>If the state of the temperature control equipment body in the ith area is larger than the preset target threshold value, the state of the temperature control equipment body in the ith area is abnormal, otherwise, the state of the temperature control equipment body in the ith area is normal.
The system also comprises a state monitoring module of the illumination intensity adjusting equipment body:
acquiring current illumination intensity L of ith area i (t 2 ) Calculating the state monitoring index of the body of the ith area illumination intensity adjusting device:
will omega i Comparing with a preset target threshold value, if omega i If the illumination intensity of the ith area is larger than the preset target threshold value, the state of the body of the illumination intensity adjusting device of the ith area is abnormal, otherwise, the state of the body of the illumination intensity adjusting device of the ith area is normal.
Through the technical scheme, the embodiment is respectively based on the current temperature T of the ith area i (t 2 ) And the current illumination intensity L i (t 2 ) And comparing with the standard deviation value of the temperature and the illumination intensity in the whole seedling raising chamber, and judging whether the state of the equipment body is normal or not according to the comparison result.
The system further includes a seedling growth monitoring module:
the seedling growth monitoring module is used for collecting the growth height and the green leaf proportion of the seedlings based on machine vision, and judging the growth state of the seedlings according to the growth height and the green leaf proportion of the seedlings.
The working process of the seedling growth monitoring module comprises the following steps:
the seedling height h, the volume V and the green leaf area S to be measured at the current stage are obtained, and the seedling growth state coefficient rho is calculated according to the following formula:
in the formula, h 0 For the height of the current stage of the seedling to be expected, V 0 For the current stage expected volume of seedlings, S 0 The green leaf area is expected for the current stage of seedlings;
comparing the seedling growth state coefficient rho with a threshold interval, if the seedling growth state coefficient rho belongs to the threshold interval, the seedling growth state is normal, if the seedling growth state coefficient rho is higher than the threshold interval, the seedling is overgrown, and if the seedling growth state coefficient rho is lower than the threshold interval, the seedling growth state is poor.
Through the technical scheme, the seedling growth monitoring module collects the growth height and the green leaf proportion of the seedlings based on machine vision and according to the formula Calculating seedling growth state coefficient ρ, judging from current stage to-be-measured seedling height h, volume V and green leaf area S, and judging from current state green leaf area and seedling volume ratio, and green leaf area and seedling volume ratio influence seedling growth state coefficient ρ great, avoid judging seedling growth state through seedling height and green leaf degree only, error appears.
A cultivation method of an forestry seedling cultivation system adopts the forestry seedling cultivation system for cultivation.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (10)
1. An forestry growing system, the system comprising: the system comprises an adjusting module, a real-time data acquisition module, a data processing module, a data analysis module and a control module;
the adjusting module comprises a plurality of independent temperature control equipment bodies and illumination intensity adjusting equipment bodies, and is distributed in the seedling raising chamber and used for adjusting the seedling raising temperature and illumination intensity in the seedling raising chamber;
the data acquisition module comprises a plurality of temperature acquisition sensors and illumination intensity acquisition sensors, is distributed in the seedling raising chamber and is used for acquiring the real-time regional temperature and regional illumination intensity in the seedling raising chamber;
the data integration module is used for integrating the data acquired by the data acquisition module to form a unified database;
the data analysis module is used for analyzing the real-time data information and the historical data information in the database and then making a seedling room temperature control strategy and an illumination intensity control strategy;
the control module is used for controlling the adjusting module to adjust the temperature and the illumination intensity in the seedling raising chamber according to the temperature control strategy and the illumination intensity control strategy of the seedling raising chamber.
2. An forestry seedling cultivation system according to claim 1, wherein said data acquisition module comprises:
dividing a seedling raising room into n areas, wherein each area is provided with a corresponding temperature acquisition sensor and an illumination intensity acquisition sensor, and each area is provided with a corresponding temperature control equipment body and an illumination intensity adjustment equipment body;
dynamic information of each region of the nursery is collected in all time periods respectively.
3. An forestry seedling cultivation system according to claim 2, wherein said data analysis module comprises:
acquiring data T of temperature change with time in the ith region history period i (t) acquiring data L of the change of the illumination intensity with time in the ith region history period i (t), wherein i ε n;
respectively calculating temperature adjustment indexes of the ith areaAnd (i) an illumination intensity adjustment index for the ith area>
Wherein t is 1 Is the initial time of the history period, t 2 Is the current time, and ρ and τ are weight coefficients respectively；
Index of temperature adjustment of the ith zoneTemperature index threshold interval preset by system +.>In contrast, if->Otherwise, adjusting the temperature of the ith area;
index of temperature adjustment of the ith zoneTemperature threshold interval preset with the system->In contrast, ifOtherwise, the illumination intensity of the ith area is adjusted.
4. A system for growing seedlings according to claim 3, in which the method of adjusting the temperature of the i-th zone comprises:
acquiring the ith area M i And the ith area circumference C i ；
The i-th zone temperature adjustment amount is:
wherein mu T Is a conversion function; m is M 0 Is an area standard reference value; gamma ray T Is a perimeter area ratio reference coefficient; alpha T 、β T Is a preset proportionality coefficient.
5. A system for growing seedlings according to claim 3, in which the method of adjusting the illumination intensity of the i-th zone comprises:
acquiring the ith area M i And the ith area circumference C i ；
The adjustment amount of the illumination intensity of the ith area is as follows:
wherein μ is a conversion function; m is M 0 Is an area standard reference value; gamma ray L Is a perimeter area ratio reference coefficient; alpha L 、β L Is a preset proportionality coefficient.
6. The system of claim 1, further comprising a temperature control device body status monitoring module:
acquiring the current temperature T of the ith region i (t 2 ) Calculating the state monitoring index of the body of the temperature control equipment in the ith area:
will beComparing with a preset target threshold value, if ∈>If the state of the temperature control equipment body in the ith area is larger than the preset target threshold value, the state of the temperature control equipment body in the ith area is abnormal, otherwise, the state of the temperature control equipment body in the ith area is normal.
7. The system of claim 1, further comprising an illumination intensity adjustment device body status monitoring module:
acquiring current illumination intensity L of ith area i (t 2 ) Calculating the state monitoring index of the body of the ith area illumination intensity adjusting device:
will omega i Comparing with a preset target threshold value, if omega i If the illumination intensity of the ith area is larger than the preset target threshold value, the state of the body of the illumination intensity adjusting device of the ith area is abnormal, otherwise, the state of the body of the illumination intensity adjusting device of the ith area is normal.
8. The system of claim 1, further comprising a seedling growth monitoring module:
the seedling growth monitoring module is used for collecting the growth height and the green leaf proportion of the seedlings based on machine vision, and judging the growth state of the seedlings according to the growth height and the green leaf proportion of the seedlings.
9. The system of claim 8, wherein the seedling growth monitoring module is operative to:
the seedling height h, the volume V and the green leaf area S to be measured at the current stage are obtained, and the seedling growth state coefficient rho is calculated according to the following formula:
in the formula, h 0 For the height of the current stage of the seedling to be expected, V 0 For the current stage expected volume of seedlings, S 0 The green leaf area is expected for the current stage of seedlings;
comparing the seedling growth state coefficient rho with a threshold interval, if the seedling growth state coefficient rho belongs to the threshold interval, the seedling growth state is normal, if the seedling growth state coefficient rho is higher than the threshold interval, the seedling is overgrown, and if the seedling growth state coefficient rho is lower than the threshold interval, the seedling growth state is poor.
10. A method of growing a seedling growing system as claimed in any one of claims 1 to 9, characterized in that the growing method is carried out with a seedling growing system as claimed in any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311174145.9A CN117193437B (en) | 2023-09-12 | 2023-09-12 | Forestry seedling cultivation system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311174145.9A CN117193437B (en) | 2023-09-12 | 2023-09-12 | Forestry seedling cultivation system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117193437A true CN117193437A (en) | 2023-12-08 |
| CN117193437B CN117193437B (en) | 2024-03-08 |
Family
ID=88990227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311174145.9A Active CN117193437B (en) | 2023-09-12 | 2023-09-12 | Forestry seedling cultivation system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117193437B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015043715A (en) * | 2013-08-28 | 2015-03-12 | パナソニック株式会社 | Plant raising apparatus |
| CN110244806A (en) * | 2019-07-17 | 2019-09-17 | 潍坊科技学院 | A kind of intelligent greenhouse automatic temperature controlling control device and method |
| CN116097995A (en) * | 2022-12-16 | 2023-05-12 | 华南农业大学 | Illumination intensity control method and system based on seedling growth height change |
| CN116147703A (en) * | 2023-03-01 | 2023-05-23 | 杭州植能生态景观有限责任公司 | Growth monitoring method for cultivation of ornamental flowers in gardens |
| CN116222141A (en) * | 2023-05-09 | 2023-06-06 | 山东尚维医疗用品有限公司 | Refrigeration equilibrium degree detection system and method for refrigeration equipment |
| CN116540805A (en) * | 2023-06-06 | 2023-08-04 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse temperature control system and method based on Internet of things |
-
2023
- 2023-09-12 CN CN202311174145.9A patent/CN117193437B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015043715A (en) * | 2013-08-28 | 2015-03-12 | パナソニック株式会社 | Plant raising apparatus |
| CN110244806A (en) * | 2019-07-17 | 2019-09-17 | 潍坊科技学院 | A kind of intelligent greenhouse automatic temperature controlling control device and method |
| CN116097995A (en) * | 2022-12-16 | 2023-05-12 | 华南农业大学 | Illumination intensity control method and system based on seedling growth height change |
| CN116147703A (en) * | 2023-03-01 | 2023-05-23 | 杭州植能生态景观有限责任公司 | Growth monitoring method for cultivation of ornamental flowers in gardens |
| CN116222141A (en) * | 2023-05-09 | 2023-06-06 | 山东尚维医疗用品有限公司 | Refrigeration equilibrium degree detection system and method for refrigeration equipment |
| CN116540805A (en) * | 2023-06-06 | 2023-08-04 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse temperature control system and method based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117193437B (en) | 2024-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wanjura et al. | Control of irrigation scheduling using temperature-time thresholds | |
| JP6609800B2 (en) | Growth diagnostic method, growth diagnostic device, data measuring device, growth diagnostic program, growth assistance method, growth assistance device, and growth assistance program | |
| CN112882517B (en) | Intelligent agricultural planting environment monitoring method and cloud monitoring platform based on big data and Internet of things | |
| KR20160088019A (en) | Plant factory system for special crops | |
| KR20130041702A (en) | The inside green house strawberry grawing method and system by variable artificial light source | |
| CN113597941A (en) | Greenhouse intelligent environment regulation and control system and device | |
| CN111640038B (en) | Rice crop coefficient calculation method and rice irrigation system | |
| CN114740930B (en) | Intelligent management and control platform system for greenhouse and management and control processing method | |
| CN105494033A (en) | Intelligent water-saving irrigating method based on crop demand | |
| CN105850622A (en) | Identification method for rice grain sterility caused by high temperatures | |
| KR20130041703A (en) | The inside green house ginseng grawing method and system by variable artificial light source | |
| CN207264228U (en) | A kind of plant cabinet and control system for optimizing plant growth | |
| CN110432046B (en) | Intelligent irrigation system in greenhouse | |
| CN116362578A (en) | Determination method and device of irrigation strategy | |
| CN108985664A (en) | A kind of intelligence farm field monitoring management system and method | |
| JP6785902B2 (en) | Crop activity index-based facility Horticulture complex environmental control system and method | |
| CN117193437B (en) | Forestry seedling cultivation system and method | |
| CN116578047B (en) | Fine intelligent control method and system for chilli production | |
| Kerby et al. | Physiological rationales in plant monitoring and mapping | |
| KR102434102B1 (en) | Intelligent Plant factory system for medical and industrial hemp and AI assistance server | |
| CN114568239B (en) | Cotton high-temperature heat damage prediction method | |
| KR20060092155A (en) | Mass-production method for seed potatoes | |
| CN113884138B (en) | Big data-based intelligent planting monitoring system | |
| CN210610594U (en) | Detectable cyclic planting device | |
| KR20060129986A (en) | Mass-production method for seed potatoes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |