CN116523113A - Crop photosynthetic efficiency prediction system and method - Google Patents

Crop photosynthetic efficiency prediction system and method Download PDF

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Publication number
CN116523113A
CN116523113A CN202310364891.8A CN202310364891A CN116523113A CN 116523113 A CN116523113 A CN 116523113A CN 202310364891 A CN202310364891 A CN 202310364891A CN 116523113 A CN116523113 A CN 116523113A
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China
Prior art keywords
detection module
data
crops
photosynthetic efficiency
field
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CN202310364891.8A
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Inventor
代兴龙
张秀
郑飞娜
王洁
华一帆
郭鑫虎
马静
王心如
康孝霞
贾殿勇
王成雨
贺明荣
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Shandong Agricultural University
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Shandong Agricultural University
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Priority to CN202310364891.8A priority Critical patent/CN116523113A/en
Publication of CN116523113A publication Critical patent/CN116523113A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098—Plants or trees
    • 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
    • A01G7/00—Botany in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Mining
    • 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

Abstract

The invention relates to the technical field of crop photosynthetic efficiency prediction, in particular to a crop photosynthetic efficiency prediction system and a crop photosynthetic efficiency prediction method, which are used for predicting crop photosynthetic efficiency, regulating the environment in a field, keeping the crop photosynthetic efficiency at a higher level for a long time and improving the quality and yield of crops; comprising the following steps: and a detection module: detecting environmental changes in the field; and a data analysis module: analyzing the detection data to calculate the photosynthetic efficiency of crops; analyzing the reason of lower photosynthetic rate according to photosynthetic efficiency of crops in the previous week and environmental data in a field, and controlling a detection module; providing detection data for the fault detection module; and the data storage module is used for: and storing preset values, photosynthetic efficiency of crops in the last week and environmental data in a field, and average values of photosynthetic efficiency of the crops in the last week.

Description

Crop photosynthetic efficiency prediction system and method
Technical Field
The invention relates to the technical field of crop photosynthetic efficiency prediction, in particular to a crop photosynthetic efficiency prediction system and method.
Background
Many growers can use many different fertilizers and plant growers to act on crops to improve the yield and the quality of field crops, but often neglect the influence of photosynthesis on the crops easily, and photosynthesis and the quality and the yield of the crops have a dense and indispensible relationship, so that the photosynthetic efficiency of the crops needs to be kept at a higher level to improve the quality and the yield of the crops, the photosynthetic efficiency of the crops needs to be predicted, the environment in the field is convenient to adjust in time, the existing field is widely used for planting in a greenhouse mode to improve the yield and the planting efficiency, but the existing greenhouse is large in size, the single greenhouse as proposed in the patent with application number of CN201921116224.3 mainly comprises a greenhouse main body, a connecting rod, a fixed plate and other parts, and the growers can use a plurality of greenhouses to plant crops in general cases, but the environment in the greenhouses is adjusted one by one only according to own planting experience, the adjustment accuracy is unrealism, the photosynthetic efficiency of the crops needs to be predicted to be higher level, and the automatic electrical appliances (such as an electric roller shutter) in the greenhouse and the automatic humidifier and the electric roller shutter) are inconvenient to manage the yield in advance, and the photosynthetic efficiency in a practical method is required to be predicted.
Disclosure of Invention
In order to solve the technical problems, the invention provides a crop photosynthetic efficiency prediction system and a crop photosynthetic efficiency prediction method for predicting crop photosynthetic efficiency and regulating the environment in a field, so that the crop photosynthetic efficiency is kept at a higher level for a long time and the quality and the yield of crops are improved.
The invention relates to a crop photosynthetic efficiency prediction system, which comprises:
and a detection module: detecting environmental changes in the field;
and a data analysis module: analyzing the detection data to calculate the photosynthetic efficiency of crops;
analyzing the reason of lower photosynthetic rate according to photosynthetic efficiency of crops in the previous week and environmental data in a field, and controlling a detection module;
providing detection data for the fault detection module;
and the data storage module is used for: storing preset values, photosynthetic efficiency of crops in the last week, environmental data in a field and average values of photosynthetic efficiency of the crops in the last week;
and a fault detection module: detecting automatic electric appliances in a field;
and a data transmission module: the data in the modules are remotely transmitted;
the management system: the system comprises a module, a control module and a control module, wherein the module is used for a grower to check the condition in a field and photosynthetic efficiency of crops, and the control module is used for the grower to remotely control the module;
decision module: according to the theoretical maximum photosynthetic rate and the photosynthetic rate high-value duration obtained by simulation of the photosynthetic efficiency model of the crop in the growing period and related environmental influence factors, analyzing and obtaining the reason of lower photosynthetic rate, thereby providing a cultivation measure adjustment suggestion of the growth and development influence factors of the crop in the next growing period.
Preferably, the detection module includes:
soil temperature detection module: the temperature detection device is positioned near the root system of the crops and distributed at a plurality of positions in the field, and detects the temperature of soil near the root system of the crops;
soil nutrient detection module: detecting nutrients of soil near the root system of the crop;
air temperature and humidity detection module: the temperature and humidity detection device is positioned above crops and at the middle and upper parts of the canopy and distributed at a plurality of positions of a field to detect the temperature and humidity of the canopy and the upper part of the field crops;
carbon dioxide concentration detection module: detecting the concentration of carbon dioxide in a field;
the illumination detection module: using CO 2 The analysis system detects the net photosynthetic rate of the flowering crop population;
crop growth condition detection module: the method is positioned at a plurality of positions in a field, and is used for detecting the green leaf area index, leaf nitrogen nutrition index and the green leaf chlorophyll content condition of crops.
Preferably, the fault detection module is composed of multiple groups of voltage sensors; and detecting a plurality of groups of automatic appliances in the field through the plurality of groups of voltage sensors, and comparing the data detected by the detection modules at different time periods through the data analysis module to judge the running conditions of the plurality of groups of automatic appliances in the field.
Preferably, the management system includes:
a system login unit: the user inputs a user name and a password to log in, and the login is successful when the user name and the password are correct;
a data display unit: displaying the data of the detection module, the data storage module, the prediction data and the fault detection module;
and a control unit: and controlling the detection module, the data storage module and the fault detection module.
Preferably, when the carbon dioxide concentration detection module operates, the carbon dioxide concentration detection module needs to be matched with an air circulation system of a field to be used, so that carbon dioxide in the field is uniformly distributed; and the detection precision of the carbon dioxide concentration detection module is improved.
Preferably, the data analysis module is composed of a plurality of analysis units, and the data transmitted by the detection module, the predicted data and the data detected by the detection module at different time periods are respectively analyzed through a plurality of groups of analysis units.
Preferably, the data display unit displays humidity, illumination and carbon dioxide concentration in the field through a line graph, and displays temperature through a three-dimensional temperature graph; and the direct observation of the detection data is convenient for the grower.
The invention relates to a crop photosynthetic efficiency prediction method, which comprises the following steps:
s1, detecting the temperature of soil near a crop root system through a soil temperature detection module, detecting the nutrients of the soil through a soil nutrient detection module, detecting the temperature and the humidity in a field through an air temperature and humidity detection module, detecting the concentration of carbon dioxide in the field through a carbon dioxide concentration detection module, simultaneously opening an air circulation system of the field to enable the carbon dioxide in the field to be uniformly distributed, detecting the illumination condition in the field through an illumination detection module, detecting the green leaf area index of the crop, the leaf nitrogen nutrition index and the green leaf chlorophyll content condition through a crop growth condition detection module, and detecting the data detected by a data analysis module according to the data detected by the detection module through
(1)
(2)
(3)
Calculating photosynthetic efficiency of crops;
s2, analyzing the reason of lower photosynthetic rate according to the photosynthetic efficiency of the crops in the previous week and the environmental data in the field, predicting the photosynthetic efficiency of the crops in the subsequent period of time according to the photosynthetic efficiency of the crops in the multiple periods of time calculated by the data analysis module, and judging whether the photosynthetic efficiency of the crops reaches a preset value or not;
s3, when the photosynthetic efficiency of the crops reaches a preset value, continuously maintaining the environment in the field at the moment, when the photosynthetic efficiency of the crops does not reach the preset value, sending a signal to a data analysis module, analyzing the reason of lower photosynthetic efficiency according to the photosynthetic efficiency of the crops in the previous week and the environment data in the field, controlling a detection module, and adjusting the environment in the greenhouse;
s4, detecting a plurality of groups of automatic appliances in the field through a plurality of groups of voltage sensors, and comparing the data detected by the detection modules at different time periods through a data analysis module to judge the running conditions of the plurality of groups of automatic appliances in the greenhouse;
s5, a user inputs a user name and a password through a system login unit to login, the user successfully logs in when the user name and the password are correct, after the user successfully logs in, the user displays data of the detection module, the data storage module, the prediction data and the fault detection module through a data display unit, and controls the detection module, the data storage module and the fault detection module in each greenhouse through a control unit.
Compared with the prior art, the invention has the beneficial effects that:
1. detecting the photosynthetic efficiency of crops by a plurality of environmental factors, and predicting the photosynthetic efficiency of the crops in a subsequent period according to the analysis result;
2. analyzing the reason for lower Ji Guangge rate according to the prediction result, and giving out related adjustment suggestions of crops in the next season;
3. the staff remotely observes the condition in the field, displays the temperature change through a three-dimensional visual temperature change chart, and displays numerical changes such as humidity, carbon dioxide concentration, illumination and the like through a line chart, so that a grower can intuitively know the field condition;
4. judging the running condition of an automatic electric appliance in the greenhouse by combining a sensor with numerical value change analysis;
5. the photosynthetic efficiency prediction systems are used in butt joint with a management system, so that a plurality of fields can be conveniently and independently adjusted according to different conditions.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a schematic diagram of the structure of the detection module of the present invention;
FIG. 3 is a schematic diagram of the structure of the management system of the present invention;
FIG. 4 is a schematic flow chart of the present invention;
FIG. 5 is a schematic representation of the change in carbon dioxide concentration of the present invention;
FIG. 6 is a schematic view of the humidity change of the present invention;
FIG. 7 is a schematic view of the flow of air in a field when the air circulation system of the present invention is in use.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. This invention may be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Examples
As shown in fig. 1 to 3, comprising:
and a detection module: detecting environmental changes in the field;
and a data analysis module: analyzing the detection data to calculate the photosynthetic efficiency of crops;
analyzing the reason of lower photosynthetic rate according to photosynthetic efficiency of crops in the previous week and environmental data in a field, and controlling a detection module;
providing detection data for the fault detection module;
and the data storage module is used for: storing preset values, photosynthetic efficiency of crops in the last week, environmental data in a field and average values of photosynthetic efficiency of the crops in the last week;
and a fault detection module: detecting automatic electric appliances in a field;
and a data transmission module: the data in the modules are remotely transmitted;
the management system: the system comprises a module, a control module and a control module, wherein the module is used for a grower to check the condition in a field and photosynthetic efficiency of crops, and the control module is used for the grower to remotely control the module;
decision module: according to the theoretical maximum photosynthetic rate and photosynthetic rate high-value duration obtained by simulation of the photosynthetic efficiency model of the crop in the growing period and related environmental influence factors, analyzing and obtaining the reason of lower photosynthetic rate, thereby providing a cultivation measure adjustment suggestion of the growth and development influence factors of the crop in the next growing period
The detection module comprises:
soil temperature detection module: the temperature detection device is positioned near the root system of the crops and distributed at a plurality of positions in the field, and detects the temperature of soil near the root system of the crops;
soil nutrient detection module: detecting nutrients of soil near the root system of the crop;
air temperature and humidity detection module: the temperature and humidity detection device is positioned above crops and at the middle and upper parts of the canopy and distributed at a plurality of positions of a field to detect the temperature and humidity of the canopy and the upper part of the field crops;
carbon dioxide concentration detection module: detecting the concentration of carbon dioxide in a field;
the illumination detection module: using CO 2 The analysis system (GXH-3501; institute of physics and chemistry, beijing, china) detects net photosynthetic rate of the flowering crop population;
crop growth condition detection module: is positioned at a plurality of positions of a field to detect the conditions of green leaf area index, leaf nitrogen nutrition index, green leaf chlorophyll content and the like of crops
The management system includes:
a system login unit: the user inputs a user name and a password to log in, and the login is successful when the user name and the password are correct;
a data display unit: displaying the data of the detection module, the data storage module, the prediction data and the fault detection module;
and a control unit: the detection module, the data storage module and the fault detection module are controlled;
as shown in fig. 7, when the carbon dioxide concentration detection module operates, the carbon dioxide concentration detection module needs to be matched with an air circulation system of a field to be used, so that carbon dioxide in the field is uniformly distributed;
as shown in fig. 5 and 6, the data display unit displays humidity, light and carbon dioxide concentration in a field through a line graph, and displays temperature through a three-dimensional temperature graph (the higher the temperature of the color tends to be warm, the lower the temperature of the color tends to be cool)
As shown in fig. 4, the method is as follows:
s1, detecting the temperature of soil near a crop root system through a soil temperature detection module, detecting the temperature and the humidity in a field through an air temperature and humidity detection module, detecting the concentration of carbon dioxide in the field through a carbon dioxide concentration detection module, simultaneously opening an air circulation system of the field to enable the carbon dioxide in the field to be uniformly distributed, detecting the illumination condition in the field through an illumination detection module, detecting the green leaf area index, the leaf nitrogen nutrition index, the chlorophyll content of the green leaf and the like of the crop through a crop growth condition detection module, and enabling a data analysis module to detect data detected by the detection module through
(1)
(2)
(3)
Wherein t represents the number of days; y represents a group net photosynthetic rate value; K. a and b represent three constants of a Logistic model, the Logistic model presents an inverted S shape, and the second derivative (Y') of the Logistic function of the net photosynthetic rate of the population (formula (3)) is equal to 0, so that the Logistic model is obtained
Solving to obtain:
， />
wherein t is 1 Represents the starting point of a rapid drop from a relatively stable and sustained high value, t 2 Representing the start of the gradual descent. These two points divide the Logistic model of the net photosynthetic rate of the population into three phases: slowly decreasing stationary phase, also known as relatively stable population net photosynthetic rate high value duration (0-t 1 ) A rapid drop period (t) 1 - t 2 ) And a gradual decline period (t) 2 - ≡), thus we can get the high value duration of the net photosynthetic rate of the population (t=t1) and the theoretical maximum value K of the net photosynthetic rate of the population, calculate the photosynthetic efficiency of the crop;
s2, analyzing the reason of lower photosynthetic rate according to the photosynthetic efficiency of the crops in the previous week and the environmental data in the field, predicting the photosynthetic efficiency of the crops in the subsequent period of time according to the photosynthetic efficiency of the crops in the multiple periods of time calculated by the data analysis module, and judging whether the photosynthetic efficiency of the crops reaches a preset value or not;
s3, when the photosynthetic efficiency of the crops reaches a preset value, continuously maintaining the environment in the field at the moment, when the photosynthetic efficiency of the crops does not reach the preset value, sending a signal to a data analysis module, analyzing the reason of lower photosynthetic efficiency according to the photosynthetic efficiency of the crops in the previous week and the environmental data in the field, controlling a detection module, adjusting the environment in the field, and increasing the concentration in the field by means of a field air circulation system and a carbon dioxide slow-release generating agent when the concentration of carbon dioxide is adjusted;
s4, detecting a plurality of groups of automatic appliances in the field through a plurality of groups of voltage sensors, and comparing the data detected by the detection modules at different time periods through a data analysis module to judge the running conditions of the plurality of groups of automatic appliances in the greenhouse;
s5, a user inputs a user name and a password through a system login unit to log in, the user successfully logs in when the user name and the password are correct, after the user successfully logs in, the user displays the data of the detection module, the data storage module, the prediction data and the fault detection module through a data display unit, and controls the detection module, the data storage module and the fault detection module in each greenhouse through a control unit;
wheat is planted in a field with a mu of land, and the wheat is planted from the beginning of planting to the maturity of the wheat by using the method, and the wheat is harvested and weighed.
Comparative example
One mu of land in another field is planted with the wheat of the same variety as in the embodiment, and the wheat is planted by using a normal method, the wheat is planted from the beginning of the planting until the wheat is mature, and the wheat is harvested and weighed.
Results
The wheat grown by the example method yields: 936 jin;
the wheat grown by the comparative example method had the following yields: 1055 jin;
the example yields are much higher than the comparative examples.
Those skilled in the art will readily install and operate the device in accordance with their instructions without undue burden from those skilled in the art.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.

Claims (8)

1. A crop photosynthetic efficiency prediction system, comprising:
and a detection module: detecting environmental changes in the field;
and a data analysis module: analyzing the detection data to calculate the photosynthetic efficiency of crops;
analyzing the reason of lower photosynthetic rate according to photosynthetic efficiency of crops in the previous week and environmental data in a field, and controlling a detection module;
providing detection data for the fault detection module;
and the data storage module is used for: storing preset values, photosynthetic efficiency of crops in the last week, environmental data in a field and average values of photosynthetic efficiency of the crops in the last week;
and a fault detection module: detecting automatic electric appliances in a field;
and a data transmission module: the data in the modules are remotely transmitted;
the management system: the system comprises a module, a control module and a control module, wherein the module is used for a grower to check the condition in a field and photosynthetic efficiency of crops, and the control module is used for the grower to remotely control the module;
decision module: according to the theoretical maximum photosynthetic rate and the photosynthetic rate high-value duration obtained by simulation of the photosynthetic efficiency model of the crop in the growing period and related environmental influence factors, analyzing and obtaining the reason of lower photosynthetic rate, thereby providing a cultivation measure adjustment suggestion of the growth and development influence factors of the crop in the next growing period.
2. The crop photosynthetic efficiency prediction system of claim 1 wherein the detection module comprises:
soil temperature detection module: the temperature detection device is positioned near the root system of the crops and distributed at a plurality of positions in the field, and detects the temperature of soil near the root system of the crops;
soil nutrient detection module: detecting nutrients of soil near the root system of the crop;
air temperature and humidity detection module: the temperature and humidity detection device is positioned above crops and at the middle and upper parts of the canopy and distributed at a plurality of positions of a field to detect the temperature and humidity of the canopy and the upper part of the field crops;
carbon dioxide concentration detection module: detecting the concentration of carbon dioxide in a field;
the illumination detection module: using CO 2 Analysis system for post-flowering workDetecting the net photosynthetic rate of the population;
crop growth condition detection module: the method is positioned at a plurality of positions of a field, and is used for detecting the green leaf area index, leaf nitrogen nutrition index and green leaf chlorophyll content condition of crops.
3. The crop photosynthetic efficiency prediction system of claim 1 wherein the fault detection module is comprised of a plurality of sets of voltage sensors.
4. The crop photosynthetic efficiency prediction system of claim 1 wherein the management system comprises:
a system login unit: the user inputs a user name and a password to log in, and the login is successful when the user name and the password are correct;
a data display unit: displaying the data of the detection module, the data storage module, the prediction data and the fault detection module;
and a control unit: and controlling the detection module, the data storage module and the fault detection module.
5. The system for predicting photosynthetic efficiency of crops according to claim 2, wherein the carbon dioxide concentration detection module is used in combination with an air circulation system of the greenhouse to uniformly distribute carbon dioxide in the greenhouse.
6. The system for predicting photosynthetic efficiency of crops according to claim 1, wherein the data analysis module is composed of a plurality of analysis units, and the data transmitted by the detection module, the predicted data and the data detected by the detection module at different periods are analyzed by the plurality of analysis units, respectively.
7. The photosynthetic efficiency prediction system of claim 4 wherein the data display unit displays humidity, light and carbon dioxide concentration in the field via a line graph and displays temperature via a three-dimensional temperature graph.
8. The crop photosynthetic efficiency prediction method is characterized by comprising the following steps of:
s1, detecting the temperature of soil near a crop root system through a soil temperature detection module, detecting the nutrients of the soil through a soil nutrient detection module, detecting the temperature and the humidity in a field through an air temperature and humidity detection module, detecting the concentration of carbon dioxide in the field through a carbon dioxide concentration detection module, simultaneously opening an air circulation system of the field to enable the carbon dioxide in the field to be uniformly distributed, detecting the illumination condition in the field through an illumination detection module, detecting the green leaf area index of the crop, the leaf nitrogen nutrition index and the green leaf chlorophyll content condition through a crop growth condition detection module, and detecting the data detected by a data analysis module according to the data detected by the detection module through
(1)
(2)
(3)
Calculating photosynthetic efficiency of crops;
s2, analyzing the reason of lower photosynthetic rate according to the photosynthetic efficiency of the crops in the previous week and the environmental data in the field, predicting the photosynthetic efficiency of the crops in the subsequent period of time according to the photosynthetic efficiency of the crops in the multiple periods of time calculated by the data analysis module, and judging whether the photosynthetic efficiency of the crops reaches a preset value or not;
s3, when the photosynthetic efficiency of the crops reaches a preset value, continuously maintaining the environment in the field at the moment, when the photosynthetic efficiency of the crops does not reach the preset value, sending a signal to a data analysis module, analyzing the reason of lower photosynthetic efficiency according to the photosynthetic efficiency of the crops in the previous week and the environment data in the field, controlling a detection module, and adjusting the environment in the greenhouse;
s4, detecting a plurality of groups of automatic appliances in the field through a plurality of groups of voltage sensors, and comparing the data detected by the detection modules at different time periods through a data analysis module to judge the running conditions of the plurality of groups of automatic appliances in the greenhouse;
s5, a user inputs a user name and a password through a system login unit to login, the user successfully logs in when the user name and the password are correct, after the user successfully logs in, the user displays data of the detection module, the data storage module, the prediction data and the fault detection module through a data display unit, and controls the detection module, the data storage module and the fault detection module in each greenhouse through a control unit.
CN202310364891.8A 2023-04-07 2023-04-07 Crop photosynthetic efficiency prediction system and method Pending CN116523113A (en)

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Application Number Priority Date Filing Date Title
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