19739 results about "Agricultural science" patented technology

The invention relates to an agricultural biomass characteristic intelligent detection method, system and device based on multi-frequency conductance coupling and a medium, and the method comprises the following steps: applying an electric excitation signal to an agricultural biomass sample, and synchronously collecting multi-physics coupling response data; based on the multi-physics field coupling response data, constructing a multi-scale equivalent circuit model comprising a resonance unit, a constant phase unit and a diffusion impedance unit; synchronously optimizing a resonance unit parameter, a constant phase unit parameter and an impedance unit parameter of the multi-scale equivalent circuit model through a Bayesian joint inversion algorithm to obtain an optimal parameter combination; and according to the optimal parameter combination, calculating a preliminary detection result of biomass components containing cellulose crystallinity, lignin crosslinking degree and water content, combining the collected environment temperature and humidity sensing data to implement dynamic compensation, and outputting a final detection result. Therefore, the detection precision, the environment robustness and the operation reliability are synergistically improved in three aspects of hardware design, model construction and algorithm optimization.

The invention discloses a garlic disease and insect pest dynamic diagnosis system based on temperature and humidity time sequence data, relates to the technical field of agricultural information processing, and solves the problems that in the prior art, a fixed parameter model is prone to sensitivity sudden drop, false alarm sudden increase and systematic deviation under sudden or semi-sudden changes of field environment and management variables. According to the scheme, semantic processing of temperature and humidity and farming events is carried out through an acquisition module, a system coupling module carries out segmented identification on distribution mutation caused by environment and operation, a domain representation module constructs causal threatening features, a prediction calibration module carries out dual-path drift decomposition and rapid correction, and a prediction result is obtained. The sample adding and label collecting module generates anti-fact samples and actively collects labels, and the decision attribution module outputs a structured evidence chain; according to the method, the dynamic adaptive capacity and reliability of the diagnosis system under the conditions of non-stationary distribution and concept drift are remarkably improved.

This application provides a wind-resistant, stable power generation agricultural-solar hybrid system, including pillars, beams, photovoltaic supports, and photovoltaic panels erected in farmland. The photovoltaic panels are equipped with a buffer mechanism and an overload release device. The buffer mechanism effectively absorbs kinetic energy and reduces the swaying amplitude and speed of the photovoltaic panels through its elasticity, and automatically resets the photovoltaic panels after strong winds. The overload release device protects the photovoltaic panels from damage caused by strong winds. This application overcomes the technical defects of existing static wind-resistant systems, reduces system wind resistance, can withstand super typhoons, provide stable power generation and irrigation, and promote agricultural production.

The invention provides a multi-dimensional data fusion soil fertilizer application system and method, and relates to the technical field of soil fertilizer application, and the system comprises a data collection module which is used for collecting multi-source original data including soil, weather, crops and fertilizer in real time; the data preprocessing module is used for preprocessing the multi-source original data; the data fusion module is used for generating a comprehensive index reflecting the soil fertility state and the crop demand; the fertilization decision module is used for generating an optimal fertilization scheme; the execution control module is used for controlling the variable fertilizer applicator and the drip irrigation equipment to execute precise fertilization operation; and the effect monitoring and feedback module is used for evaluating the decision effect and optimizing the nutrient leaching model. According to the invention, through multi-objective optimization based on the nutrient leaching model and the genetic algorithm, the fertilizer cost, the environmental risk and the agricultural machinery operation constraint are considered while the fertilizer requirement rule of crops is met, and the optimal fertilization scheme considering both the economical efficiency and the ecological property is output.

The utility model discloses an intelligent straw which is characterized in that an induction electrode is coated and attached in the pipe wall of a hollow pipe along the length direction of the hollow pipe to collect the data of the amount of liquid passing through the hollow pipe, the hollow pipe can be made of food-grade materials such as silica gel and food-grade plastics, and the intelligent straw has the function of digitizing drinking water. The system can transmit data to a mobile phone or a cloud end, carries out health analysis through the data, achieves recording reminding, affects healthy diet of young people from behaviors, serves as an intelligent terminal of the Internet of Things, builds a digital connection between a merchant and a user, and further optimizes customer services better.

The technical scheme of the invention discloses a photovoltaic power generation and greenhouse agriculture integrated system. According to the photovoltaic agricultural integrated technology disclosed by the invention, photovoltaic power generation and greenhouse planting are innovatively combined, and a solar panel with adjustable light transmittance of 30%-90% is mounted at the top of an agricultural facility, so that sunlight is utilized for power generation, and illumination required by crop growth is reserved. The system disclosed by the invention is provided with an intelligent sensor and an AI algorithm, environment data is monitored in real time, the angle, light supplementing intensity, temperature and humidity of the photovoltaic panel are dynamically adjusted, and different crop requirements (such as low illumination of leaf vegetables and medium and strong illumination of fruits and vegetables) are accurately matched. Residual electricity is stored or connected to a grid, photovoltaic waste heat is recycled in winter for heat preservation, sun shading and cooling are conducted in summer, and efficient circulation of energy is achieved.

The invention relates to an intelligent monitoring system for prevention and control of diseases and insect pests for bean planting, in particular to the field of intelligent monitoring of prevention and control of agricultural diseases and insect pests, and can realize extremely early precise recognition and early warning of diseases and insect pests of bean crops. The weak lesion spectral features and the continuous deterioration trend of the plant can be sensitively captured in a stage which is difficult to perceive by naked eyes, real diseases and environmental interference are effectively distinguished, the system can automatically locate a suspicious lesion area by using a weak supervised learning mechanism and only needing image-level labeling, the dependence on expensive pixel-level labeling data is greatly reduced, and the accuracy of the system is improved. Finally, a high-confidence early warning signal is output through multi-source information collaborative decision, a scientific basis is provided for accurate and green prevention and control, blind pesticide application is effectively avoided, and crop health and yield are guaranteed.

The invention relates to the technical field of fertilization and irrigation regulation and control, and discloses a fertilization and irrigation two-way regulation and control system under water demand and fertilizer demand coupling modeling, and the system constructs the fertilization and irrigation two-way regulation and control system based on the water demand and fertilizer demand coupling modeling. The multi-source data acquisition module is used for acquiring soil, crop growth period and meteorological data through a layered soil sensor, crop image acquisition equipment and a meteorological acquisition point; the water and fertilizer scheme generation module calculates irrigation amount, fertilization type and dosage based on data, and adjusts intervals in combination with temperature; the operation execution module controls the operation of the irrigation and fertilization equipment and records the state; and the data correction module compares the sensor with the sample data to generate a correction scheme. The system realizes accurate regulation and control through a closed loop of data acquisition, scheme generation, execution and correction, simultaneously covers equipment state monitoring and early warning, and ensures efficient fertilization and irrigation to adapt to crop requirements.

The invention relates to an agricultural robot, and discloses an animal husbandry pushing robot autonomous navigation method based on a laser radar, which comprises a microsecond-level multi-sensor time synchronization architecture based on an FPGA (Field Programmable Gate Array); in a navigation layer, seamless switching between the GNSS and the laser SLAM is realized by constructing a virtual fusion observation value by utilizing extended Kalman filtering and a self-adaptive dynamic weight algorithm; in the sensing layer, an RGB-I multi-mode model fused with laser reflectivity and a biological micro-motion detection technology are adopted, and feed and biological obstacles are accurately distinguished; and in the execution layer, flexible self-adaptive material pushing is achieved in combination with material groove edge fitting and force-position hybrid control, and the navigation precision, the operation quality and the safety of the material pushing robot in the all-weather and unstructured pasture environment are effectively improved.

The invention belongs to the technical field of bioinformatics, particularly relates to a computer simulation and regulation method and system for beef cattle fat metabolism, and aims to solve the problems of excessive fat deposition, low feed conversion efficiency, difficulty in multi-objective optimization and the like in existing beef cattle breeding. A multi-scale biological network model is constructed, a computer simulation and prediction engine is developed, an intelligent intervention strategy optimization engine is designed, and implementation and feedback optimization are carried out. By reducing unnecessary fat deposition, improving the feed conversion efficiency and improving the beef quality, the economic benefit of beef cattle breeding is remarkably improved, the requirements of consumers for high-quality and safe beef products are met, and the method has important value for promoting intelligent upgrading and sustainable development of the beef cattle industry.

A solid distribution system of an agricultural spreader includes a product hopper configured to contain solid particulate material, a blower, a manifold coupled to the blower and having a plurality of outlets, at least one boom arm comprising a plurality of parallel rigid tubes configured to carry the solid particulate material and air from the blower, and a plurality of hoses. The manifold is configured to split air flow from the blower into flows through each of the plurality of outlets. Each valve is in fluid communication with one of the outlets and one of the rigid tubes, and each valve individually controls flow through a respective one of the rigid tubes. Vehicles having such solid distribution systems are also disclosed.

The invention discloses a processing method for reducing the broken rice rate of commercial rice, which comprises the following steps: S1, an unhulled rice pretreatment stage: S1a, a multi-stage linkage impurity removal process is adopted, and large impurities, light impurities, metal impurities and stones in unhulled rice are removed through combination of classified screening, airflow separation, magnetic separation and specific gravity stone removal, so that the impurity removal rate is greater than or equal to 99%; s1b, on the basis of a dynamic adaptation model of rice physical characteristics and rice hulling parameters, rice moisture and hardness data are collected in real time through a first detection device, the rice hulling flow and the inter-roller pressure are calculated and adjusted through a control unit, and closed-loop control is achieved; s2, carrying out a color sorting and polishing stage; s3, carrying out a rice milling regulation and control stage; and S4, entering a vacuum packaging stage.

The invention discloses a greenhouse intelligent management system and management method based on crop growth vigor, and belongs to the technical field of intelligent agriculture. The greenhouse intelligent management system comprises a crop growth vigor and environment monitoring system, a control system and matched operation facilities, the crop growth vigor and environment monitoring system can monitor environment information and crop growth vigor conditions of a greenhouse in real time, and meanwhile, the monitoring information is sent to the control system through a communication module; based on a crop growth identification algorithm fusing RGB and hyperspectral images and a corresponding greenhouse intelligent management method, the control system reasonably regulates and controls application parameters of matched operation facilities and dynamically regulates internal environment elements of the greenhouse, so that rapid growth of greenhouse crops is promoted in an intensive mode, and the greenhouse quality is improved. Meanwhile, the labor intensity and the cost are effectively reduced.

The invention provides an impeller type rice side depth variable fertilizer apparatus based on discrete elements, and belongs to the field of rice side depth fertilization. The invention aims to provide a structure capable of meeting the variable application requirement of the liquid fertilizer and provide the optimal parameter design of the structure. According to the impeller type variable fertilizer discharger, the impeller rotates to convey the fertilizer from the fertilizer inlet to the fertilizer outlet, and the opening degree of the fertilizer discharging inlet is changed by adjusting the speed of the fertilizer adjusting shifting piece, so that variable control of the fertilizing amount is realized. In order to ensure that the device can operate according to expectation, key parts are theoretically analyzed, and structural parameters are reasonably optimized and adjusted by combining simulation research on related factors of the fertilizer in the movement process; the design of the device not only provides a new implementation way for variable rate fertilization, but also contributes to improving the fertilization precision and the automation level of rice production, and promotes the development of rice agricultural mechanization to a certain extent.

The utility model discloses a differentiated zoned irrigation and fertilization system for seed corn, which relates to the technical field of agricultural drip irrigation and fertilization equipment and comprises a plurality of drip irrigation tape units, male parent irrigation branch pipes and female parent irrigation branch pipes. The drip irrigation tape unit comprises single male parent drip irrigation tapes, single female parent drip irrigation tapes and double female parent drip irrigation tapes, and the ratio of the number of the single male parent drip irrigation tapes to the number of the single female parent drip irrigation tapes to the number of the double female parent drip irrigation tapes is 1: 1: 3; the single male parent drip irrigation tape is connected with the male parent irrigation branch pipe, and the single female parent drip irrigation tape and the double female parent drip irrigation tape are connected with the female parent irrigation branch pipe; the male parent irrigation branch pipe and the female parent irrigation branch pipe are connected with an original farmland irrigation pipe network through a shunt valve, and a master control valve is arranged between the shunt valve and the original farmland irrigation pipe network; the water inlet ends of the male parent irrigation branch pipe and the female parent irrigation branch pipe are respectively provided with a control valve. The device can meet the water and fertilizer requirements of male parents and female parents respectively, the emergence rate and uniformity of the male parents and the female parents are improved, the seed yield and quality are improved, and the water and fertilizer utilization efficiency is improved.

The invention relates to the technical field of agricultural machinery, and discloses an adjustable soil covering device for ginger planting, comprising: a mobile vehicle, the front side of the bottom of which is provided with a front wheel matched with the curved surface of a ridge, and the rear side of which is provided with a rear wheel with a ditch edge profiling structure; the central mixing bin is integrally formed in the middle of the mobile vehicle chassis, and a rotatable scattering disc is coaxially arranged in the central mixing bin. The mixing process of soil and fertilizer is innovatively integrated in the central mixing bin, and the fertilizer is sucked from a storage box through a Venturi negative pressure generator in a pneumatic conveying mode; the high-pressure fan provides airflow power to feed the materials into the mixing bin, non-blocking automatic fertilizer supply is achieved, the fertilizer and soil intersect in the bin, the materials are guided to spirally fall down by means of the tapered spiral flow guide column, the mixing path is prolonged, meanwhile, the ultrasonic vibration plate continuously vibrates to form lumps, it is guaranteed that the two materials are highly and evenly mixed, and the mixing efficiency is improved. And a mixed substrate with stable quality is provided for subsequent precise soil covering.

A conveyor device for use in a cutting unit of an agricultural harvester. The conveyor device includes a frame and at least one conveyor belt which revolves endlessly around two rollers arranged parallel to one another. A distance between the two rollers may be adjusted using a tensioning device. A first roller may be rotatably driven, and a second roller may be mounted to revolve freely. A device for rotational speed detection (associated with the first roller) is configured to detect a rotational speed of the first roller. Further, a second device (associated with the second roller) detect the rotational speed of the second roller during operation of the conveyor belt.

The invention discloses a crop irrigation optimization method and device based on digital twinning and three-dimensional reconstruction. The method comprises the following steps: collecting crop growth data and video data of environmental parameters in real time through a multi-mode sensing network; performing frame extraction on the video data to obtain a multi-view image sequence, and generating a crop three-dimensional point cloud model based on a multi-angle reconstruction algorithm; semantic segmentation is carried out on the three-dimensional point cloud of the crop, phenotypic features of the crop are extracted, and environmental data are fused to construct a crop growth digital twinborn body; establishing a soil humidity prediction model, inputting time sequence environment data and crop phenotypic characteristic data, and outputting a soil humidity prediction value in future time; finally, irrigation strategy simulation is executed in the digital twin platform, the optimal irrigation amount is determined through a minimization cost function, an optimal irrigation instruction is issued to a physical irrigation actuator, and closed-loop control is achieved. Through three innovations of three-dimensional phenotype extraction, environment coupling modeling and dynamic strategy simulation, the problems of response lag and extensive decision of a traditional method are solved.

The invention relates to the technical field of greenhouse vegetable planting environment regulation and control, in particular to an internet-based intelligent greenhouse vegetable environment regulation and control system and method, which comprises an acquisition module, a monitoring module, an analysis module, a decision module, an execution control module and a mobile terminal interaction module, in combination with a preset successive cropping obstacle threshold model, analyzing to obtain the soil secondary salinization degree, the nutritional imbalance state, the microflora disorder index and the allelochemical toxicity grade; and the decision module is used for generating a comprehensive regulation and control strategy including crop rotation suggestions, irrigation amount, a fertilization scheme, biological control measures and environmental parameter regulation instructions in combination with facility vegetable types and growth stage requirements. A continuous cropping obstacle analysis result is obtained through the analysis module in combination with big data and a machine learning algorithm, a comprehensive regulation and control strategy is generated, continuous cropping obstacles are effectively dealt with, and the planting efficiency and the vegetable quality are improved.

The invention discloses a dynamic prediction method for the yield of breeding manure, and relates to the technical field of agricultural information.The method comprises the steps that farm real-time data, manure returning historical data and external auxiliary data are synchronously obtained through multi-source data collection and preprocessing, and feature vectors are formed through cleaning and feature engineering; a dynamic prediction model is constructed based on an LSTM neural network and an attention mechanism, the LSTM captures time sequence dependence through a gating mechanism, and the attention mechanism weights and focuses key features; every set period, calculating a prediction error by utilizing newly acquired data, updating model parameters by adopting an incremental gradient descent method and correcting a prediction result; and engineering deployment is realized through edge calculation, data security transmission and performance monitoring, a complete closed loop from data acquisition, model prediction to result correction is formed, and prospective decision support is provided for resource utilization of planting and breeding feces.

The invention provides a multi-sensor fusion crop harvesting and pile-dividing cooperative control method and a multi-sensor fusion crop harvesting and pile-dividing cooperative control system. The method comprises the following steps: extracting morphological characteristics of crops from crop image data, and generating a crop maturity identification result according to a difference value between reflection spectrum data of two groups of wavebands; determining a crop quality identification result according to the morphological characteristics and the crop maturity identification result; an opening and closing control instruction is sent to a pneumatic flow guide plate at a pile separation opening corresponding to the crop quality recognition result in a multi-stage pile separation opening in the tail end of the conveying belt, so that the crops on the conveying belt are conveyed to a corresponding pile separation area; and when the pressure value of the pile dividing area is larger than a preset pressure threshold value, the harvesting speed of the crop harvesting and pile dividing all-in-one machine is adjusted according to the pressure value. According to the technical scheme provided by the invention, the shape and maturity of the crops are analyzed through the image and spectral data, piling and harvesting can be intelligently controlled, and accurate and efficient crop quality grading and harvesting management are realized.

The invention discloses a rice growth period distinguishing method and an intelligent irrigation control device. Belongs to the technical field of crossing of intelligent agriculture and irrigation and water conservancy engineering and particularly relates to the technical field of rice growth period judgment and intelligent irrigation. The technical problem that an accurate and effective rice growth period judgment method for guiding intelligent rice irrigation is lacked at present is solved. The method specifically comprises the following steps: calculating a rice growth process index through an improved accumulated temperature model; and constructing a multi-factor coupling growth period judgment method, and judging the current rice growth period through the rice growth process index. The system comprises a sensing unit, a judgment and decision-making unit, an electric execution unit and an input and power supply unit, the judgment and decision-making unit receives the environment data of the rice field and the water layer depth data of the rice field, judges the current growth period of the rice according to a rice growth period judgment method, calculates the current water layer deviation and generates a control instruction to the electric execution unit.

The invention belongs to the technical field of image processing, and particularly relates to an intelligent agricultural product pesticide residue detection method and system based on a spectrum technology, and the method comprises the steps: obtaining the hyperspectral reflectivity according to the original hyperspectrum, dark current and whiteboard image data; calculating an illumination confidence factor by using the average spectral intensity; performing linear scaling on the obtained standard biological matrix background spectrum according to the illumination confidence factor to obtain a local background estimated value and obtain a net residual spectrum; generating a pesticide residue distribution thermodynamic diagram by combining the cosine similarity of the net residual spectrum and the target pesticide standard fingerprint spectrum and the noise suppression weight based on the illumination confidence factor; and pesticide residue detection is carried out according to the statistical characteristics of the connected region of the suspected defect mask. Through adaptive background deduction and noise suppression, the problems of uneven curved surface illumination and strong background interference are solved, and the detection accuracy is improved.

The utility model belongs to the technical field of cat litter basins, and discloses a rolling support driving mechanism and a pet excrement collecting device, the rolling support driving mechanism comprises a rolling support mechanism and a driving component, the rolling support component is in rolling fit with a bottom plate of the cat litter basin through a lower rolling support piece to realize support, and the driving component drives the cat litter basin to rotate. The contact between the lower rolling supporting piece and the cat litter basin bottom plate is changed into rolling friction from sliding friction, the friction force is greatly reduced, the energy loss is reduced, the operation of the device is smoother, and the service life of each component of the device is prolonged. Meanwhile, the friction noise is reduced by introducing the rolling supporting assembly, the user cannot be interfered by the friction noise in daily use, and the use experience of the user is improved. By arranging the guide piece, the rolling supporting mechanism can be driven by the driving assembly to reciprocate along the preset track of the guide piece, the guide piece can stably guide the rolling supporting mechanism to drive the grating to reciprocate in the cat litter basin, reversing of the grating is more flexible and rapid, and smooth operation of the device during switching in different directions is ensured.

The present disclosure is directed to apparatuses, system, and methods for rotating an operator station relative to another portion of an agricultural machine, such as a frame of the agricultural machine, to facilitate transport of the agricultural machine from one location to another. Transportation of the agricultural machine in this may include moving the agricultural machine in a direction that is conventionally considered to be the reverse direction of the agricultural machine. The operator station may include a cab of the agricultural machine or a portion of the cab, and the operator station may include one or more displays for displaying one or more images captured by an image capture device that is directed rearwardly of the agricultural machine.

The present disclosure relates to an agricultural tractor. In an agricultural tractor according to the present disclosure, a first injection hole for injecting fuel is arranged on a first fender side, and a second injection hole for injecting cleaning fluid is arranged on a second fender side. According to the present disclosure, effects are achieved in that a design with the aesthetics of a symmetrical balance is enabled and the center of gravity can be stably maintained.

The invention discloses intelligent pasture livestock health monitoring equipment. The equipment comprises a vital sign monitoring mechanism worn on the legs of livestock, a behavior monitoring mechanism worn on the neck of the livestock and an environment monitoring mechanism vertically extending and arranged on the pasture ground; the vital sign monitoring mechanism comprises a vital sign monitoring fixing ring, a vital sign monitoring supporting shell with an upward opening is connected to the vital sign monitoring fixing ring, and a plurality of body temperature monitoring sensors are connected into the vital sign monitoring supporting shell; a pulse monitoring through hole penetrating in the radial direction of the physical sign monitoring fixing ring is formed in the side face of the physical sign monitoring fixing ring, and a pulse monitor is arranged at the pulse monitoring through hole; the behavior monitoring mechanism comprises a conventional monitoring camera, a high-speed monitoring camera and an infrared monitoring camera; the equipment can accurately collect various physiological data of livestock, such as body temperature, heart rate, respiratory rate and the like, as well as behavior data, such as activity amount, ingestion time, rumination times and the like, so that the accuracy and reliability of the data are ensured, and an accurate basis is provided for evaluating the health condition of the livestock.

The utility model discloses a plant factory with a ventilation side wall, which comprises a box body, at least one group of cultivation module is arranged in the box body, and each group of cultivation module comprises a plant cultivation frame, a ventilation side wall and a plurality of separators; the plant cultivation frame comprises a plurality of layers of plant cultivation plates for placing cultivation containers; the ventilation side wall is arranged on one side of the plant cultivation frame and is perpendicular to the plant cultivation plates. One end of each separator is mounted on the ventilation side wall, and the other end of each separator is propped against one side end part of the plant cultivation plate; the adjacent plant cultivation plates are matched with the upper partition pieces and the ventilation side walls to form a plant cultivation area with one side closed. Through the arrangement of the separators, the ventilation side walls and the plant cultivation plates, the plant cultivation areas with one sides closed are defined, the air supply structure can guarantee the uniformity of the environment of all the plant cultivation areas under the low ventilation quantity, then the energy consumption is reduced, the wind stress of plants close to the air supply outlet is reduced, and the growth speed, yield and quality of the plants are guaranteed.

The invention provides an intelligent cattle farm feeding management system, which belongs to the technical field of intelligent agriculture and animal husbandry, and comprises a data acquisition module, a data processing module, a control module, a user interface module, a communication module and a storage module. The system obtains cattle farm environment and cattle physiological behavior data in real time through a multi-source sensor and image acquisition equipment, intelligent analysis and decision generation are carried out through algorithms such as machine learning, reinforcement learning and fuzzy logic, and automatic management of functions such as feed feeding, environment regulation and control and health early warning is achieved. The system has the characteristics of comprehensive perception, intelligent decision making and accurate execution, the cattle farm feeding efficiency can be effectively improved, cattle health is guaranteed, and the operation cost is reduced.

The invention discloses a light-temperature coupling-oriented eucommia ulmoides seedling environment precise regulation and control method and system, and belongs to the technical field of agricultural facility seedling culture, and the method comprises the following steps: obtaining real-time environment parameters in a greenhouse, and generating an environment data set; establishing a light-temperature coupling knowledge base based on the matching relationship between the illumination intensity and the temperature in different growth stages; according to the real-time illumination intensity value in the environment data set and the light-temperature coupling knowledge base, calculating a currently required compensation temperature value, and generating a temperature regulation and control instruction in combination with an actual temperature value in the environment data set; generating an illumination compensation strategy according to the temperature regulation and control instruction and a seedling growth stage identifier in the environment data set; and executing the temperature regulation and control instruction and the illumination compensation strategy, and outputting a linkage control signal to preset environment regulation and control equipment. According to the method, a light temperature compensation algorithm adaptive to the growth stage and a humidity feedback correction mechanism are adopted, dynamic cooperative regulation and control of the greenhouse environment can be achieved, and the seedling growing quality and the resource utilization efficiency are remarkably improved.