CN111096211A - Rice irrigation method based on big data - Google Patents
Rice irrigation method based on big data Download PDFInfo
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- CN111096211A CN111096211A CN201911386753.XA CN201911386753A CN111096211A CN 111096211 A CN111096211 A CN 111096211A CN 201911386753 A CN201911386753 A CN 201911386753A CN 111096211 A CN111096211 A CN 111096211A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
- A01G22/20—Cereals
- A01G22/22—Rice
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Soil Sciences (AREA)
- Botany (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Fertilizing (AREA)
Abstract
The invention discloses a rice irrigation method based on big data, which comprises the following steps: excavating a ditch; planting; the installation distribution of the sensors and the monitoring devices; monitoring and uploading data; the method comprises the following steps of fertilizing and irrigating, wherein each farmland is monitored in real time, an operator irrigates and fertilizes the farmland according to a specific solution implementation method, an automatic sluice is automatically opened and closed, and the communication condition of a gap and a ditch is controlled, so that the farmland with water shortage is irrigated, and meanwhile, fertilizer is sprayed; and (5) manually checking at regular time. The method has the beneficial effects that: adopt networking system to form the network and cover, the camera through sensor, monitoring devices and monitoring carries out the monitoring of farmland situation, uploads in real time through wireless network carries out data, carries out the analysis statistics based on big data platform to the data of gathering in the target scene farmland to can provide the implementation measure of main part for irrigation and fertilization, it is convenient to provide for the rice irrigation.
Description
Technical Field
The invention relates to a rice irrigation method, in particular to a rice irrigation method based on big data, and belongs to the technical field of rice irrigation application.
Background
The rice is a cereal crop of the genus oryza, the rice is native to China and India, and the rice is planted by the precedents of the Yangtze river basin of China seven thousand years ago; the rice is classified into indica rice and japonica rice, early rice and middle and late rice, glutinous rice and non-glutinous rice according to the rice type.
The existing paddy irrigation is realized by digging a ditch, and a gap at a farmland is opened through manual judgment to carry out manual irrigation; during irrigation, the data support is lacked, the irrigation water can be excessive, the fertilizer can be sprayed too much or too little, and the irrigation or fertilization effect can be influenced. Therefore, a rice irrigation method based on big data is provided aiming at the problems.
Disclosure of Invention
The invention aims to solve the problems and provide a rice irrigation method based on big data.
The invention realizes the aim through the following technical scheme, and provides a rice irrigation method based on big data, which comprises the following steps:
(1) excavating ditches, namely excavating water channels among farmlands, excavating gaps among the water channels and each farmland to enable each farmland to be communicated with the water channels, and arranging automatic water gates at the gaps to open and close the gaps;
(2) planting, namely planting the seedlings in a paddy field by a manual or transplanter so that the row spacing between the seedlings is set between 8 and 9 inches and the plant spacing is set between 4 and 5.5 inches;
(3) the installation distribution of the sensors and the monitoring devices is that after the rice seedlings are planted, the sensors and the monitoring cameras and the monitoring devices are installed around the farmland, and the sensors and the monitoring cameras and the monitoring devices are used for detecting data such as water level, PH value and nitrogen content in the farmland;
(4) the method comprises the following steps that wireless network nodes are installed at the tops of sensors, monitoring devices, automatic water gates and monitoring cameras of a wireless network, so that network coverage is formed among farmland areas, wireless network connection is formed between the farmland areas and a control monitoring room, real-time data uploading and automatic control of the automatic water gates are carried out, and the wireless network nodes and the control monitoring room form a networking system;
(5) the method comprises the steps of monitoring and uploading data, transmitting the collected data to a big data platform in a control monitoring room through a networking system by each sensor, monitoring device and monitoring camera in the farmland, analyzing and counting the data collected in the farmland in a target scene based on the big data platform to obtain the water quality condition, weed condition, rice lodging condition and soil main condition in each farmland, and providing specific solution and implementation methods for operators by the big data platform according to the requirements of the paddy in different growth periods;
(6) the method comprises the following steps of fertilizing and irrigating, wherein each farmland is monitored in real time, an operator irrigates and fertilizes the farmland according to a specific solution implementation method, an automatic sluice is automatically opened and closed, and the communication condition of a gap and a ditch is controlled, so that the farmland with water shortage is irrigated, and meanwhile, fertilizer is sprayed;
(7) the method comprises the steps of manual timing inspection, wherein workers regularly perform inspection on the periphery of a farmland, manual acquisition of data and inspection of the growth condition of main bodies of rice seedlings, the inspection interval is about 7-15 days, the inspected data are manually uploaded to a big data platform for analysis, the growth condition of the rice seedlings is judged, and the big data platform is convenient for solving implementation methods according to the growth condition of the rice seedlings.
Preferably, when the ditch in the step (1) is excavated, the excavation width of the ditch is kept between 50CM and 65CM, the excavation width of the gap is kept between 20CM and 26CM, and the periphery of the ditch and the two sides of the gap are reinforced by pouring cement.
Preferably, the sluice at the gap in the step (1) is an electric lifting sluice, a motor in the electric lifting sluice is connected with a control system in a control monitoring room, and the control system is connected with the electric lifting sluice through a networking system to transmit signals.
Preferably, the seedlings in the step (2) need to be vertical when being sowed, and lodging and inclination of the seedlings after sowing are avoided.
Preferably, the sensors in the step (3) adopt sensors such as a water level sensor, a PH detection sensor, and a nitrogen content sensor to sense the water quality and soil composition data in the field.
Preferably, the monitoring devices, the monitoring cameras and the wireless network nodes in the steps (3) and (4) are all provided with protective devices, and the protective devices can adopt ceilings to shield wind and rain so as to realize protection.
Preferably, in the step (5), each sensor, the monitoring device and the monitored camera are powered by a solar cell panel and a battery pack, and the battery pack stores electric power.
Preferably, when the automatic sluice in the step (6) is automatically opened and closed, the irrigation time and the opening and closing size of the gap are implemented according to the solution implementation method in the step (5).
Preferably, the main weight of the fertilizer spraying in the step (6) is implemented according to the solution implementation method in the step (5), and the spraying mode is realized through manual spraying or unmanned aerial vehicle spraying.
Preferably, when the seedlings are manually inspected in the step (7), the inspection is performed by adopting a spot inspection method, the inspection is performed at each corner of the farmland, and the number of the inspected seedlings in each farmland is controlled to be 12-14.
The invention has the beneficial effects that: this kind of rice irrigation method based on big data adopts networking systems to form network coverage, through the sensor, monitoring devices and the monitoring of monitoring camera carry out the farmland situation, carry out the real-time upload of data through wireless network, carry out the analysis statistics based on big data platform to the data of gathering in the target scene farmland, thereby can provide the implementation measure of main part for irrigation and fertilization, it is convenient to provide for rice irrigation, avoid the manual work to judge, irrigation and fertilization are comparatively accurate, the normal growth of seedling has been ensured, and can carry out automatic opening through automatic sluice, close, need not the manual work and carry out operation control, artificial intensity of labour has been reduced.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
a rice irrigation method based on big data comprises the following steps:
(1) excavating ditches, namely excavating water channels among farmlands, excavating gaps among the water channels and each farmland to enable each farmland to be communicated with the water channels, and arranging automatic water gates at the gaps to open and close the gaps;
(2) planting, namely planting the seedlings in a paddy field by a manual or transplanter so that the row spacing between the seedlings is set between 8 and 9 inches and the plant spacing is set between 4 and 5.5 inches;
(3) the installation distribution of the sensors and the monitoring devices is that after the rice seedlings are planted, the sensors and the monitoring cameras and the monitoring devices are installed around the farmland, and the sensors and the monitoring cameras and the monitoring devices are used for detecting data such as water level, PH value and nitrogen content in the farmland;
(4) the method comprises the following steps that wireless network nodes are installed at the tops of sensors, monitoring devices, automatic water gates and monitoring cameras of a wireless network, so that network coverage is formed among farmland areas, wireless network connection is formed between the farmland areas and a control monitoring room, real-time data uploading and automatic control of the automatic water gates are carried out, and the wireless network nodes and the control monitoring room form a networking system;
(5) the method comprises the steps of monitoring and uploading data, transmitting the collected data to a big data platform in a control monitoring room through a networking system by each sensor, monitoring device and monitoring camera in the farmland, analyzing and counting the data collected in the farmland in a target scene based on the big data platform to obtain the water quality condition, weed condition, rice lodging condition and soil main condition in each farmland, and providing specific solution and implementation methods for operators by the big data platform according to the requirements of the paddy in different growth periods;
(6) the method comprises the following steps of fertilizing and irrigating, wherein each farmland is monitored in real time, an operator irrigates and fertilizes the farmland according to a specific solution implementation method, an automatic sluice is automatically opened and closed, and the communication condition of a gap and a ditch is controlled, so that the farmland with water shortage is irrigated, and meanwhile, fertilizer is sprayed;
(7) the method comprises the steps of manual timing inspection, wherein workers regularly perform inspection on the periphery of a farmland, manual acquisition of data and inspection of the growth condition of a main body of seedling rice, the inspection interval is about 7 days, the inspected data are uploaded to a big data platform manually for analysis, the growth condition of the seedling is judged, and the big data platform is convenient for solving the implementation method according to the growth condition of the seedling.
When the ditch in the step (1) is excavated, the excavation width of the ditch is kept between 50 and 65CM, the excavation width of the gap is kept between 20 and 26CM, and the periphery of the ditch and two sides of the gap are reinforced by pouring cement.
And (2) adopting an electric lifting water gate as the water gate at the gap in the step (1), connecting a motor in the electric lifting water gate with a control system in a control monitoring room, and connecting the control system with the electric lifting water gate through a networking system to transmit signals.
The seedlings in the step (2) need to be vertical when being sowed, and lodging and inclination of the seedlings after sowing are avoided.
And (4) adopting sensors such as a water level sensor, a PH value detection sensor and a nitrogen content sensor to sense the component data of water quality and soil in the farmland by the sensors in the step (3).
And (4) arranging protective devices on the monitoring devices, the monitoring cameras and the wireless network nodes in the steps (3) and (4), wherein the protective devices can adopt ceilings to shield wind and rain, so that protection is realized.
And (5) supplying power to each sensor, each monitoring device and each monitoring camera in the step (5) by adopting a solar cell panel and a battery pack, and storing electric power by using the battery pack.
And (5) when the automatic sluice in the step (6) is automatically opened and closed, the irrigation time and the opening and closing size of the gap are implemented according to the solution implementation method in the step (5).
And (3) implementing the main component of fertilizer spraying in the step (6) according to the implementation method in the step (5), and implementing the spraying mode through manual spraying or unmanned aerial vehicle spraying.
When the seedlings are manually checked in the step (7), a spot check method is adopted, checking is carried out at each corner of the farmland, and the number of checked seedlings in a single farmland is controlled to be 12-14.
The interval of manual timing inspection in the rice irrigation method is short, the seedling growth condition feedback can be timely carried out, and the rice irrigation method is suitable for seedlings with fast growth and short growth period.
Example two:
a rice irrigation method based on big data comprises the following steps:
(1) excavating ditches, namely excavating water channels among farmlands, excavating gaps among the water channels and each farmland to enable each farmland to be communicated with the water channels, and arranging automatic water gates at the gaps to open and close the gaps;
(2) planting, namely planting the seedlings in a paddy field by a manual or transplanter so that the row spacing between the seedlings is set between 8 and 9 inches and the plant spacing is set between 4 and 5.5 inches;
(3) the installation distribution of the sensors and the monitoring devices is that after the rice seedlings are planted, the sensors and the monitoring cameras and the monitoring devices are installed around the farmland, and the sensors and the monitoring cameras and the monitoring devices are used for detecting data such as water level, PH value and nitrogen content in the farmland;
(4) the method comprises the following steps that wireless network nodes are installed at the tops of sensors, monitoring devices, automatic water gates and monitoring cameras of a wireless network, so that network coverage is formed among farmland areas, wireless network connection is formed between the farmland areas and a control monitoring room, real-time data uploading and automatic control of the automatic water gates are carried out, and the wireless network nodes and the control monitoring room form a networking system;
(5) the method comprises the steps of monitoring and uploading data, transmitting the collected data to a big data platform in a control monitoring room through a networking system by each sensor, monitoring device and monitoring camera in the farmland, analyzing and counting the data collected in the farmland in a target scene based on the big data platform to obtain the water quality condition, weed condition, rice lodging condition and soil main condition in each farmland, and providing specific solution and implementation methods for operators by the big data platform according to the requirements of the paddy in different growth periods;
(6) the method comprises the following steps of fertilizing and irrigating, wherein each farmland is monitored in real time, an operator irrigates and fertilizes the farmland according to a specific solution implementation method, an automatic sluice is automatically opened and closed, and the communication condition of a gap and a ditch is controlled, so that the farmland with water shortage is irrigated, and meanwhile, fertilizer is sprayed;
(7) the working personnel regularly checks the circumference of the farmland, manually collects all data and checks the growth condition of the main body of the rice seedling, wherein the checking interval is about 15 days, the checked data are manually uploaded to a big data platform for analysis, the growth condition of the rice seedling is judged, and the big data platform is convenient for solving the implementation method according to the growth condition of the rice seedling.
When the ditch in the step (1) is excavated, the excavation width of the ditch is kept between 50 and 65CM, the excavation width of the gap is kept between 20 and 26CM, and the periphery of the ditch and two sides of the gap are reinforced by pouring cement.
And (2) adopting an electric lifting water gate as the water gate at the gap in the step (1), connecting a motor in the electric lifting water gate with a control system in a control monitoring room, and connecting the control system with the electric lifting water gate through a networking system to transmit signals.
The seedlings in the step (2) need to be vertical when being sowed, and lodging and inclination of the seedlings after sowing are avoided.
And (4) adopting sensors such as a water level sensor, a PH value detection sensor and a nitrogen content sensor to sense the component data of water quality and soil in the farmland by the sensors in the step (3).
And (4) arranging protective devices on the monitoring devices, the monitoring cameras and the wireless network nodes in the steps (3) and (4), wherein the protective devices can adopt ceilings to shield wind and rain, so that protection is realized.
And (5) supplying power to each sensor, each monitoring device and each monitoring camera in the step (5) by adopting a solar cell panel and a battery pack, and storing electric power by using the battery pack.
And (5) when the automatic sluice in the step (6) is automatically opened and closed, the irrigation time and the opening and closing size of the gap are implemented according to the solution implementation method in the step (5).
And (3) implementing the main component of fertilizer spraying in the step (6) according to the implementation method in the step (5), and implementing the spraying mode through manual spraying or unmanned aerial vehicle spraying.
When the seedlings are manually checked in the step (7), a spot check method is adopted, checking is carried out at each corner of the farmland, and the number of checked seedlings in a single farmland is controlled to be 12-14.
The rice irrigation method has the advantages that the interval of manual regular inspection is long, excessive manual inspection is not needed, the labor intensity is low, and the rice irrigation method is suitable for seedlings with slow growth and long growth period.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A rice irrigation method based on big data is characterized in that: the rice irrigation method comprises the following steps:
(1) excavating ditches, namely excavating water channels among farmlands, excavating gaps among the water channels and each farmland to enable each farmland to be communicated with the water channels, and arranging automatic water gates at the gaps to open and close the gaps;
(2) planting, namely planting the seedlings in a paddy field by a manual or transplanter so that the row spacing between the seedlings is set between 8 and 9 inches and the plant spacing is set between 4 and 5.5 inches;
(3) the installation distribution of the sensors and the monitoring devices is that after the rice seedlings are planted, the sensors and the monitoring cameras and the monitoring devices are installed around the farmland, and the sensors and the monitoring cameras and the monitoring devices are used for detecting data such as water level, PH value and nitrogen content in the farmland;
(4) the method comprises the following steps that wireless network nodes are installed at the tops of sensors, monitoring devices, automatic water gates and monitoring cameras of a wireless network, so that network coverage is formed among farmland areas, wireless network connection is formed between the farmland areas and a control monitoring room, real-time data uploading and automatic control of the automatic water gates are carried out, and the wireless network nodes and the control monitoring room form a networking system;
(5) the method comprises the steps of monitoring and uploading data, transmitting the collected data to a big data platform in a control monitoring room through a networking system by each sensor, monitoring device and monitoring camera in the farmland, analyzing and counting the data collected in the farmland in a target scene based on the big data platform to obtain the water quality condition, weed condition, rice lodging condition and soil main condition in each farmland, and providing specific solution and implementation methods for operators by the big data platform according to the requirements of the paddy in different growth periods;
(6) the method comprises the following steps of fertilizing and irrigating, wherein each farmland is monitored in real time, an operator irrigates and fertilizes the farmland according to a specific solution implementation method, an automatic sluice is automatically opened and closed, and the communication condition of a gap and a ditch is controlled, so that the farmland with water shortage is irrigated, and meanwhile, fertilizer is sprayed;
(7) the method comprises the steps of manual timing inspection, wherein workers regularly perform inspection on the periphery of a farmland, manual acquisition of data and inspection of the growth condition of main bodies of rice seedlings, the inspection interval is about 7-15 days, the inspected data are manually uploaded to a big data platform for analysis, the growth condition of the rice seedlings is judged, and the big data platform is convenient for solving implementation methods according to the growth condition of the rice seedlings.
2. The big data based rice irrigation method as claimed in claim 1, wherein: when the ditch in the step (1) is excavated, the excavation width of the ditch is kept between 50 and 65CM, the excavation width of the gap is kept between 20 and 26CM, and the periphery of the ditch and two sides of the gap are reinforced by pouring cement.
3. The big data based rice irrigation method as claimed in claim 1, wherein: and (2) adopting an electric lifting water gate as the water gate at the gap in the step (1), connecting a motor in the electric lifting water gate with a control system in a control monitoring room, and connecting the control system with the electric lifting water gate through a networking system to transmit signals.
4. The big data based rice irrigation method as claimed in claim 1, wherein: the seedlings in the step (2) need to be vertical when being sowed, and lodging and inclination of the seedlings after sowing are avoided.
5. The big data based rice irrigation method as claimed in claim 1, wherein: and (4) adopting sensors such as a water level sensor, a PH value detection sensor and a nitrogen content sensor to sense the component data of water quality and soil in the farmland by the sensors in the step (3).
6. The big data based rice irrigation method as claimed in claim 1, wherein: and (4) arranging protective devices on the monitoring devices, the monitoring cameras and the wireless network nodes in the steps (3) and (4), wherein the protective devices can adopt ceilings to shield wind and rain, so that protection is realized.
7. The big data based rice irrigation method as claimed in claim 1, wherein: and (5) supplying power to each sensor, each monitoring device and each monitoring camera in the step (5) by adopting a solar cell panel and a battery pack, and storing electric power by using the battery pack.
8. The big data based rice irrigation method as claimed in claim 1, wherein: and (5) when the automatic sluice in the step (6) is automatically opened and closed, the irrigation time and the opening and closing size of the gap are implemented according to the solution implementation method in the step (5).
9. The big data based rice irrigation method as claimed in claim 1, wherein: and (3) implementing the main component of fertilizer spraying in the step (6) according to the implementation method in the step (5), and implementing the spraying mode through manual spraying or unmanned aerial vehicle spraying.
10. The big data based rice irrigation method as claimed in claim 1, wherein: when the seedlings are manually checked in the step (7), a spot check method is adopted, checking is carried out at each corner of the farmland, and the number of checked seedlings in a single farmland is controlled to be 12-14.
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| CN201911386753.XA CN111096211A (en) | 2019-12-29 | 2019-12-29 | Rice irrigation method based on big data |
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| CN201911386753.XA CN111096211A (en) | 2019-12-29 | 2019-12-29 | Rice irrigation method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113057005A (en) * | 2021-05-07 | 2021-07-02 | 安徽迪万科技有限公司 | Paddy field is with irritating row system along with fertilize |
| RU2813772C1 (en) * | 2023-06-19 | 2024-02-16 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Кубанский государственный аграрный университет имени И.Т. Трубилина" | Subsoil irrigation method for rice |
-
2019
- 2019-12-29 CN CN201911386753.XA patent/CN111096211A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113057005A (en) * | 2021-05-07 | 2021-07-02 | 安徽迪万科技有限公司 | Paddy field is with irritating row system along with fertilize |
| CN113057005B (en) * | 2021-05-07 | 2021-11-19 | 安徽迪万科技有限公司 | Paddy field is with irritating row system along with fertilize |
| RU2813772C1 (en) * | 2023-06-19 | 2024-02-16 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Кубанский государственный аграрный университет имени И.Т. Трубилина" | Subsoil irrigation method for rice |
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