LU102457B1 - Irrigation method, device, system and readable storage medium of crop - Google Patents
Irrigation method, device, system and readable storage medium of crop Download PDFInfo
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- LU102457B1 LU102457B1 LU102457A LU102457A LU102457B1 LU 102457 B1 LU102457 B1 LU 102457B1 LU 102457 A LU102457 A LU 102457A LU 102457 A LU102457 A LU 102457A LU 102457 B1 LU102457 B1 LU 102457B1
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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
- A01G27/00—Self-acting watering devices, e.g. for flower-pots
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses an irrigation method, device, system and readable storage medium of a crop. The method includes: SI. collecting crop environmental information from a vegetation site of a crop, including temperature data, humidity data, long-wave net radiation data and short-wave net radiation data; S2. processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop; S3. calculating a crop coefficient Kc corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration, the crop coefficient Kc representing a condition of the crop under water stress; and S4. generating an irrigation strategy based on the crop coefficient Kc corresponding to the crop to irrigate the crop. The system performs targeted optimal irrigation on crops, and the irrigation has good reliability and high accuracy, which can resolve the problem of insufficient or excessive irrigation of the crop.
Description
TECHNICAL FIELD The present invention relates to the field of agricultural technology, and more particularly, to an irrigation method, device, system and readable storage medium of a crop.
BACKGROUND A crop is also called a cultivated plant, which refers to all plants cultivated for direct or indirect demands of human beings. Agricultural informatization, intelligence, and refinement are development trends of modern agriculture. Development of facility cultivation technology has a profound impact on the process of agricultural modernization, which can effectively improve an agricultural ecological environment, increase an efficiency of agricultural production and operation, and promote modern and accurate management of agriculture.
In the growing process of the crop, it is often necessary to water and irrigate the crop, which often requires manual operation, and the labor intensity of the staff is high. However, existing automatic irrigation devices or water supply systems often cause insufficient or excessive irrigation of crops, and their overall reliability is not optimal.
SUMMARY OF INVENTION With respect to the above defects or improvement requirements of the prior art, the present invention provides an irrigation method, device, system and readable storage medium of a crop, which aims to improve reliability of irrigation, thereby resolving a technical problem of insufficient irrigation or excessive irrigation to the crop.
in order to achieve the above purpose, according to an aspect of the present invention, an irrigation method of a crop is provided, the method including:
S1. collecting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, humidity data, long- wave net radiation data and short-wave net radiation data; S2. processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop; S3. calculating a crop coefficient Ke corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration, the crop coefficient Kc representing a condition of the crop under water stress; and S4. generating an irrigation strategy based on the crop coefficient Ke corresponding to the crop to irrigate the crop.
In one embodiment, the step S2 includes: S201. calculating a latent heat flux LE of an opaque medium surface in the vegetation site using the maximum entropy production model; $202. converting the latent heat flux LE to the actual evapotranspiration PET using the formula PET = 0.03527LE ; and S203. converting the corresponding latent heat flux when specific humidity of surface air is 1 to the potential evapotranspiration ET; using the formula ET, = 0.03527LE'.
In one embodiment, the step S201 includes: calculating the potential latent heat flux LE using the formula LE = B(o)* H ; wherein H is the sensible heat flux, G is the soil heat flux, and H and G are obtained by 04 — Rn-G B(o) I ! juggling H = Beat and G= Bors |[H| ¢H a {1 Rn is surface net radiation, and Rn is used to represent the sum of long-wave net radiation and short-wave net radiation:
Pl A’ B(S) is the reciproal of Bowen ratio B(6)=6(,/1+ _—oc 1); 0= LA is the 36 CR, T, dimensionless function of the surface temperature and the surface water vapor density, and A is the latent heat of phase change of water; Ry is the gas constant for water vapor; Cp is specific heat of air under normal pressure, qs Is specific humidity of surface air, Ts is the surface temperature; I is soil thermal inertia I, = pea . p is the medium density, c is specific heat, œ is thermal diffusivity, I, is apparent thermal inertia of air to represent turbulent transport kzg I, =p,e, VC,kz(C, ot) process in the boundary layer, calculated by the formula Pac la ; Pa is an air density, g is acceleration of gravity, To is the normal room temperature, z is the height above surface, k is the Von Karman constant, and Cy and C2 are empirical constants for describing stability of the temperature and wind speed.
In one embodiment, the step S3 includes: using the ratio of the actual evapotranspiration and the potential evapotranspiration corresponding to the crop as the crop coefficient Kc.
In one embodiment, the step S4 includes: S401. the generated irrigation strategy being used to control irrigating the crop when the crop coefficient is less than an irrigation threshold; and S402. in an irrigation process, continuously acquiring the crop coefficient Ke corresponding to the current time, and the generated irrigation strategy being used to control stopping the irrigation of the crop when the crop coefficient Ke corresponding to the current time exceeds the irrigation threshold.
In one embodiment, before the step S4, the method further includes: setting the irrigation threshold according to the type and the growth stage of the crop.
According to another aspect of the present invention, an irrigation device of a crop is provided, the device including:
a collection module for collecting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, humidity data, long-wave net radiation data and short-wave net radiation data; an acquisition module for processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop; a calculation module for calculating a crop coefficient corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration; and an irrigation module for generating an irrigation strategy based on the crop coefficient Kc corresponding to the crop to irrigate the crop.
According to another aspect of the present invention, an irrigation system of a crop is provided. The system including a crop information processing module, and the crop information processing module implements the steps of the method while executing a pre-stored computer program.
In one embodiment, the irrigation system of the crop further includes: a data collecting module connected with the crop information processing module to collect the crop environmental information and transmit it to the crop information processing system; a network control module connected with the crop information processing module to receive an user input command, and set model parameters of the maximum entropy production model, the threshold corresponding to the crop coefficient and irrigation control parameters; an information release platform connected with the crop information processing module to release and store the crop environmental information and the irrigation strategy transmitted by the crop information processing module; and an irrigation module connected with the crop information processing module to supply water to the crop according to the irrigation strategy transmitted by the crop information processing module.
According to another aspect of the present invention, a computer-readable storage medium is provided, on which computer programs are stored, and when the computer programs are executed by a processor, the steps of the method are implemented.
In general, the present invention collects the crop environmental information from the vegetation site of the crop, processes the crop environmental information using the maximum entropy production model to acquire the potential evapotranspiration and the actual evapotranspiration of the crop; then calculates the crop coefficient Kc corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration, and finally generates the irrigation strategy based on the crop coefficient Kc corresponding to the crop, so as to irrigate the crop. The potential evapotranspiration and the actual evapotranspiration of the crop are acquired according to the crop environmental information, and further are used to assess the condition of the crop under water stress. By comparing the above technical solution conceived in the present invention with the prior art, since the targeted irrigation is performed on the crop, the irrigation has good reliability and high accuracy, which can effectively resolve a problem of insufficient irrigation or excessive irrigation of the crop.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flow chart of an irrigation method of a crop in an embodiment of the present invention; FIG. 2 is a schematic diagram of a flow chart of the irrigation method of the crop in an embodiment of the present invention; FIG. 3 is a schematic diagram of variations of a threshold corresponding to Ke with growth period of the crop in an embodiment of the present invention; FIG. 4 is a structural schematic diagram of an irrigation device of the crop in an embodiment of the present invention; and FIG. 5 is a structural schematic diagram of an irrigation system of the crop in an embodiment of the present invention.
DETAILED DESCRIPTION OF THE EXEMPLARY EMBODIMENTS In order to make a purpose, technical solution and advantage of the present invention clearer, the present invention will be further explained in details by using exemplary embodiments in conjunction with the figures. It should be understood that the exemplary embodiments described here are merely used to explain the present invention but not limited thereto. In addition, the technical features involved in respective embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
The present invention provides an irrigation method of a crop as shown in FIGS. | and 2, and the irrigation method includes steps Si to S4.
S1. Collecting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, humidity data, long- wave net radiation data and short-wave net radiation data.
Specifically, the collected crop environmental information of the crop may include long- wave net radiation, short-wave net radiation, air humidity, and surface temperature data of multiple vegetation layers of the crop.
S2. Processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop.
Specifically, an irrigation threshold corresponding to the crop coefficient Kc is set according to a type and a growth stage of the crop. Then the crop environmental information is input into the set maximum entropy production model, and finally, the potential evapotranspiration and the actual evapotranspiration of the crop can be obtained through calculation. Water content of a vegetation layer is different from soil water content. A Kc value will not increase immediately due to irrigation, but will lag for a period of time (the crop absorbs water and transports it to leaves, then undergoing transpiration, and then the evaporation is increased and further reflected onto a sensor, the calculated Ke value becomes greater, and this process takes a while). That is to say, the irrigation speed in the solution provided by the present application cannot be very fast, and is suitable for refined planting, such as for a drip irrigation pipe system, rather than a traditional flood irrigation system.
In one embodiment, the step S2 includes: S201. calculating a latent heat flux LE(W/m?) of an opaque medium surface in the vegetation site using the maximum entropy production model; $202. converting the latent heat flux LE to the actual evapotranspiration PET(mm/d) using a formula PET = 0.03527LE ; and S203. converting a corresponding latent heat flux when specific humidity of surface air is | to the potential evapotranspiration ET, (mm/d) using a formula ET, = 0.03527LE .
In one embodiment, the step S20! includes: calculating a potential latent heat flux LE(W/m°) using a formula LE = B(c)*H ; wherein H(W/m?) is a sensible heat flux, G(W/m?) is a soil heat flux, and H and G are obtained by juggling H= Baal and G= as :H| ‘ H: Rn is the surface net radiation, i.e.. a sum of long-wave net radiation 0 and short-wave net radiation; B(o) is a reciproal of Bowen ratio B(o) = 6(,1 +o —1); Xo 4, G= CR, T° is a dimensionless function of a surface temperature and a surface water vapor density. and À is the latent heat of phase change of water (J/kg); Ry is the gas constant for water vapor [461 J/(kgeK)]: Cp is specific heat of air under normal pressure (103 J/kg/K), qs is specific humidity of surface air (kg/kg). Ts is the surface temperature (K); and 1, is soil thermal inertia I =pcva , p is a medium density (kg/m?), € is specific heat (J/kg/K). à is thermal diffusivity (W/m/K). I, is the apparent thermal inertia of air to represent turbulent transport 1, = pe, JOR2(C, LE, process in the boundary layer, calculated by the formula Puy La ; Pa is air density (kg/m), g is acceleration of gravity (m/s), To is a normal room temperature (about 300K), z is a height above surface (m), k is a Von Karman constant (it is set as about 0.4), and Ci and C3 are empirical constants for describing stability of the temperature and wind speed.
$3. Calculating the crop coefficient Kc corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration. In one embodiment, the step S3 includes: using a ratio ofthe actual evapotranspiration and the potential evapotranspiration corresponding to the crop as the crop coefficient Kc, Le, K, = To The crop coefficient is used to represent a condition of the crop under water stress.
S4. Generating an irrigation strategy based on the crop coefficient Kc corresponding to the crop to irrigate the crop.
In one embodiment, the step S4 includes: S401. the generated irrigation strategy is used to control irrigating the crop when the crop coefficient is less than an irrigation threshold; and $402. in an irrigation process, continuously acquiring a crop coefficient Kc corresponding to a current time, and the generated irrigation strategy is used to control stopping the irrigation of the crop when the crop coefficient Kc corresponding to the current time exceeds the irrigation threshold, wherein the crop coefficient Kc is less than the irrigation threshold.
It should be understood that although the respective steps in the flow chart of FIG. 1 are sequentially displayed in accordance with arrows, these steps are not necessarily executed in accordance with an order indicated by the arrows. Unless there is explicit explanation in the present invention, the execution of these steps are not strictly limited to the order, and can be executed in other orders. Moreover, at least partial steps of FIG. 1 can include a plurality of sub steps or a plurality of stages, these sub steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these sub steps or stages is not necessarily performed sequentially, but at least partial steps can be executed in turn or alternatively with other steps, or sub steps or stages of other steps.
In one embodiment, before the step S4, the irrigation method of the crop further includes: the irrigation threshold is set according to a type of the crop.
When the crop coefficient Kc obtained by calculation is less than the irrigation threshold, it is considered that the crop is under water stress and needs to be irrigated. Taking winter wheat as an example, the irrigation threshold corresponding to the crop coefficient Kc is set as shown in a following table. À standard crop coefficient recommended by the Food and Agriculture Organization of the United Nations can be referred to, and the irrigation threshold corresponding to the crop coefficient Kc can be set according to climate and hydrothermal conditions.
Stage F ; Initial Growth ast Middle . Development Growing Mature Period Period . . = Period Period
0.15-1.10 1.10-0.49 Winter Wheed 0.15 (Increasing (Decreasing Daily) Daily) Wherein, a variation situation of the threshold corresponding to Kc is as shown in FIG. 3. Division of different growth stages can be based on crop coverage (fc) and exposed area ratio (1-fc) to determine the irrigation threshold. Crop Gowing Stage Crop Coverage (fc) Exposed Area Ratio (!-fc) Fast Development 0.1~0.8 0.9~0.2 Period Middle Growing 0.8~1.0 0.2~0.0 Period FIG. 4 is a structure block diagram of an irrigation device of the crop according to an embodiment. As shown in FIG. 4, the present application provides an irrigation device of the crop, including: a collection module 401, an acquisition module 402, a calculation module 403 and an irrigation module 404. The collection module 401 is used for extracting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, multi-point humidity data, long- wave net radiation data and short-wave net radiation data. The acquisition module 402 is used for processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop. The calculation module is used for calculating a crop coefficient corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration. The irrigation module 404 is used for irrigating the crop based on the crop coefficient Kc corresponding to the crop.
The division of the respective modules in the above irrigation device of the crop is merely for exemplary illustration, and in other embodiments, the irrigation device of the crop can be divided into different modules according to the needs so as to implement all or partial functions of the above irrigation device of the crop.
Please refer to the definition of the irrigation method of the crop in the above text for the specific definition about the irrigation device of the crop, which will not be repeated here again. The respective modules of the above irrigation module of the crop can be entirely or partially implemented by software, hardware and combinations thereof. The above respective modules can be embedded into or independent of a processor in a computing apparatus in a form of hardware. or can be stored in a memory of the computing apparatus in a form of software so as to facilitate the processor to call out and execute operations corresponding to the above respective modules.
The respective modules in the irrigation device provided by the embodiment of the present invention can be implemented in a form of a computer program. The computer program can run on a terminal or a server. A program module constituted by the computer program can be stored on a memory of an electronic apparatus. When the computer program is executed by the processor, the steps of the method described in the embodiment of the present invention are implemented.
The present invention provides an irrigation system of a crop, the system including a crop information processing module, and the crop information processing module implements the steps of the method while executing a pre-stored computer program.
In one embodiment, as shown in FIG. 5, the irrigation system of the crop further includes: a data collecting module, a network control module, an information release platform, and an irrigation module. The data collecting module is connected with the crop information processing module to collect the crop environmental information and transmit it to the crop information processing system. The network control module is connected with the crop information processing module to receive a user input command, and set model parameters of the maximum entropy production model. the threshold corresponding to the crop coefficient and irrigation control parameters. The information release platform is connected with the crop information processing module to release and store the crop environmental information and the irrigation strategy transmitted by the crop information processing module. The irrigation module is connected with the crop information processing module to supply water to the crop according to the irrigation strategy transmitted by the crop information processing module.
Specifically, the crop data collecting module is used for collecting the crop environmental information and includes a soil temperature and humidity collecting unit buried under ground and a surface non-contact multi-sensor information acquisition unit, and transmits the data to the crop environmental information processing module through a data line. Furthermore, the surface non-contact multi-sensor information acquisition unit includes a net radiation sensor, a surface air humidity sensor, and an infrared thermal imaging sensor.
The network control module is used for receiving and transmitting a user command, and includes an information inputting interface and a network transmission unit. The information inputting interface is used for user input, and setting model parameters of the maximum entropy production model, the irrigation threshold corresponding to the crop coefficient Kc and irrigation control parameters. The network transmission unit is used for conveying the user command to the crop environmental information processing module. Preferably, bi-directional connection between the network transmission unit and the crop environmental information processing module is established through a high-speed wireless network card.
The crop information processing module is used for executing the above irrigation method, further used for recciving and processing crop data, receiving a command of the network control module, establishment of the module and determination of the crop water condition, controlling the irrigation module to perform irrigation, and transmitting the processed crop environmental information and the irrigation event to the information release platform.
The irrigation module is used for supplying water to the crop, and includes a network transmission unit, an irrigation control unit and irrigation facility. The irrigation control unit includes a microprocessor, a solenoid valve and a metering water pump to implement control irrigation water amount and irrigation areas. The irrigation facility includes a water pump, a reservoir, and a drip irrigation pipeline module.
The information release platform is used for storing and releasing the crop environmental information and the irrigation information, and includes a crop environmental information database, a server and a mobile terminal application.
The embodiment of the present invention further provides a computer readable storage medium. One or more non-volatile computer readable storage medium containing computer- executable instructions, when the computer-executable instructions are executed by one or more processors, cause the processors to execute the steps of the crop irrigation method.
Any reference to memory, storage, database or other mediums used in the present invention may include non-volatile and/or volatile memories. Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM). electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM), which acts as external high-speed cache memory. As an illustration and not a limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM). synchronous Link (Synchlink)
DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM). Those skilled in the art easily understand that the above embodiments are only optimum embodiments of the present invention, and are not used to limit the invention.
Any amendments, equivalent replacements and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An irrigation method of a crop, characterized in comprising: - collecting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, humidity data, long- wave net radiation data and short-wave net radiation data; - processing the crop environmental information using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop; - calculating a crop coefficient Kc corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration, the crop coefficient Kc representing a condition of the crop under water stress; and - generating an irrigation strategy based on the crop coefficient Kc corresponding to the crop to irrigate the crop.
2. The method of claim 1, which is characterized in that the step S2 comprises: - calculating a latent heat flux LE of an opaque medium surface in the vegetation site using the maximum entropy production model; - converting the latent heat flux LE to the actual evapotranspiration PET using the formula PET = 0,03527LE ; and - converting the corresponding latent heat flux LE" when specific humidity of surface air is 1 to the potential evapotranspiration ET, using the formula ET, = 0.03527LE".
3. The method of claim 2. which is characterized in that the step S201 comprises: calculating the potential latent heat flux LE using the formula LE = B(o)*H;
wherein H is the sensible heat flux, G is the soil heat flux, and H and G are obtained by — Rn-G B(o) I. ! jugeting H= Gr and G = AA MH; 6 h Rn is surface net radiation, and Rn is used to represent the sum of long-wave net radiation and short-wave net radiation; B(o) ; © BO)= 6011+ 6-1): à is a dimensi is the reciproal of Bowen ratio B(o) = 6( 36 6 —1): 5 is a dimensionless X 9, function © = CR T? of the surface temperature and the surface water vapor density, and pty *s À is the latent heat of phase change of water; Ry is the gas constant for water vapor: Cp is specific heat of air under normal pressure, qs is specific humidity of surface air, Ts is the surface temperature; I is soil thermal inertia I, = pea p is the medium density, c is specific heat, a is thermal diffusivity; I, is apparent thermal inertia of air to represent turbulent transport TZ kzg I, =p,¢, JC kz(C, CT ) process in the boundary layer, calculated by the formula Pape ; Pa is an air density, g is acceleration of gravity, Ty is the normal room temperature, z is the height above surface, k is the Von Karman constant, and Ci and C2 are empirical constants for describing stability of the temperature and wind speed.
4. The method of claim 1, which is characterized in that the step S3 comprises: using the ratio of the actual evapotranspiration to the potential evapotranspiration corresponding to the crop as the crop coefficient Ke.
5. The method of any one of claims | to 4, which is characterized in that the step S4 comprises: S401. the generated irrigation strategy being used to control irrigating the crop when the crop coefficient is less than an irrigation threshold; and
$402. in an irrigation process, continuously acquiring the crop coefficient Kc corresponding to the current time, and the generated irrigation strategy being used to control stopping the irrigation of the crop when the crop coefficient Kc corresponding to the current time exceeds the irrigation threshold.
6. The method of any one of claims | to 4, which is characterized in that before the step S4, the method further comprises: setting the irrigation threshold according to the type and the growth stage of the crop.
7. An irrigation device of a crop, characterized in comprising: a collection module for collecting crop environmental information from a vegetation site of the crop, the crop environmental information including multi-point surface temperature data, humidity data, long-wave net radiation data and short-wave net radiation data; an acquisition module for processing the crop environmental information by using a maximum entropy production model to acquire a potential evapotranspiration and an actual evapotranspiration of the crop; a calculation module for calculating a crop coefficient Ke corresponding to the crop using the potential evapotranspiration and the actual evapotranspiration; and an irrigation module for generating an irrigation strategy based on the crop coefficient Kc corresponding to the crop to irrigate the crop.
8. An irrigation system of a crop, characterized in comprising a crop information processing module, the crop information processing module implementing the steps of the method of any one of claims | to 6 while executing a pre-stored computer program.
9. The system of claim 8, which is characterized in that the system further comprises: a data collecting module connected with the crop information processing module to collect the crop environmental information and transmit it to the crop information processing system; a network control module connected with the crop information processing module to receive an user input command, and set model parameters of the maximum entropy production model, the threshold corresponding to the crop coefficient Ke and irrigation control parameters; an information release platform connected with the crop information processing module to release and store the crop environmental information and the irrigation strategy transmitted by the crop information processing module; and an irrigation module connected with the crop information processing module to supply water to the crop according 10 the irrigation strategy transmitted by the crop information processing module.
10. A computer-readable storage medium storing computer programs thereon, characterized in, when the computer programs are executed by a processor, implementing the steps of the method of any one of claims | to 6.
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| CN114642159B (en) * | 2022-03-23 | 2022-11-08 | 华中科技大学 | Facility crop irrigation quota calculation method and system |
| CN115308368A (en) * | 2022-07-26 | 2022-11-08 | 中国农业大学 | Farmland crop water stress diagnosis method and device and electronic equipment |
| CN116090842A (en) * | 2022-12-12 | 2023-05-09 | 中国农业大学 | Farmland irrigation decision-making method, device, equipment and storage medium |
| CN116380708B (en) * | 2023-02-22 | 2024-02-06 | 北京市农林科学院智能装备技术研究中心 | Irrigation quantity prediction method, device, system, equipment and medium |
| CN118172191A (en) * | 2024-04-01 | 2024-06-11 | 新疆天演源溯网络科技有限公司 | Visual intelligent agricultural monitoring management method and system |
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| CN103576625A (en) * | 2012-08-01 | 2014-02-12 | 江苏阿法腾科技有限公司 | Intelligent agricultural integrated monitoring system |
| CN103413035B (en) * | 2013-07-30 | 2017-06-16 | 中国科学院遥感与数字地球研究所 | A kind of method of model for farmland net irrigation water and estimation irrigation water capacity |
| KR101570297B1 (en) * | 2014-08-01 | 2015-11-18 | 성균관대학교산학협력단 | System, method and computer program for drought mapping using satellite imageries in northeast asia |
| CN110754344B (en) * | 2019-10-08 | 2021-10-22 | 京蓝物联技术(北京)有限公司 | Irrigation decision method and device based on weather forecast |
| CN111368258B (en) * | 2020-03-04 | 2023-02-17 | 中国科学院东北地理与农业生态研究所 | Estimation method for daily evapotranspiration of humid area |
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