111 results about "Optimal growth" patented technology

The invention discloses a ganoderma lucidum cultivation environment multi-mode self-adaptive regulation and control method based on the Internet of Things, and relates to the technical field of ganoderma lucidum cultivation, and the method comprises the following specific steps: multi-source data collection: reasonably arranging an environment sensor and a biosensor in a ganoderma lucidum cultivation environment, and collecting environment data and biodata in real time, according to the method, various data in the lucid ganoderma cultivation environment are comprehensively collected, the environment factor coupling effect model is constructed in combination with a machine learning algorithm, comprehensive analysis and accurate regulation and control of the lucid ganoderma growth environment can be achieved, and the interaction relation between environment factors and the physiological state of lucid ganoderma are fully considered; the control decision is more scientific and reasonable, the growth speed and quality of the ganoderma lucidum are remarkably improved, the yield of the ganoderma lucidum is further improved, meanwhile, a biological feedback mechanism is introduced, the cultivation environment can adapt to the optimal growth requirement of the ganoderma lucidum in real time, and the cultivation accuracy and the intelligent level are further improved.

The invention relates to the technical field of intelligent agriculture, and particularly discloses an intelligent precise strawberry growth management system and method based on the Internet of Things, and the system comprises a sensing layer which collects the actual growth environment and growth vigor data of strawberry seedlings in real time; the growth environment analysis layer compares actual and target growth environment data to obtain a deviation as a control analysis result; the growth vigor analysis layer gives out a growth vigor analysis result in combination with the growth vigor data and the current target growth stage; the growth environment optimization layer calculates the environment data supplement amount according to the two results, optimizes the target growth environment control data of the adjacent next control period, and obtains the optimal growth environment control data; the control layer regulates and controls execution equipment in real time according to the optimal growth environment control data, obtains the newest growth management result of the strawberry seedlings, and realizes accurate control and optimization of the growth environment of the strawberry seedlings; the accuracy and scientificity of strawberry growth management are improved, and the yield and quality of strawberries can be improved.

The invention discloses an Internet of Things supervision method and system applied to strawberry growth management, and relates to the technical field of smart agriculture, and the method comprises the steps: integrating historical strawberry growth full-cycle multi-dimensional data, constructing a strawberry growth knowledge graph, taking different growth stages as nodes, and obtaining the optimal growth interval of each node; tracking a dynamic evolution track of the soil saline-alkali parameters on the time sequence, and constructing a dynamic prediction model of the target soil saline-alkali parameters; based on a multi-dimensional sensor, monitoring growth parameters in real time, inputting a knowledge graph to judge the growth node of the strawberry in the time period, predicting the trend by integrating the growth parameters in the time period and soil saline-alkali parameters, calculating the deviation degree of the growth node in the time period and the optimal growth interval, and evaluating whether the growth parameters in the time period are in a safe range or not; if it is judged that the growth is in the abnormal growth risk period, a layered early warning mechanism is implemented, a case with the highest similarity in the knowledge graph is paired, and a solution is rapidly provided. The method has the beneficial effects that the yield and quality of strawberries are improved.

The invention relates to the field of lake water surface extraction, in particular to a lake water surface extraction method based on multi-source data fusion and deep feature screening. The method comprises the following steps: preprocessing multi-source remote sensing data, and eliminating differences among data sources; designing 1D-CNN and HRnet-AM feature extraction modules, and extracting spectral features, texture features and shape features from images of different data sources; constructing an adaptive weight quantization module A-WCM, performing fusion analysis on the multivariate features, and quantizing the weight; designing a redundancy elimination module (REM), and eliminating redundant or irrelevant features; carrying out layer-by-layer fusion and recombination on features extracted from each branch by adopting a deep semantic fusion technology; a decision tree optimal growth model OGMT is constructed, and the complexity of the model is effectively reduced through an optimal path selection and feature screening mechanism. According to the method, the recognition efficiency and accuracy of the lake water surface are improved, the lake water surface change can be more reliably captured and analyzed, and powerful support is provided for management and maintenance of a lake ecosystem.

The invention discloses a combined flora YB2 capable of degrading PET (Polyethylene Terephthalate) plastic and application of the combined flora YB2, and belongs to the technical field of microorganisms. The combined flora YB2 is composed of Burkholderia cepacia ZY1 and Pseudomonas hardendinii G1B, the optimal inoculation ratio of the Burkholderia cepacia ZY1 to the Pseudomonas hardendinii G1B is 4%: 5%, and the optimal growth conditions are that the pH is 7.0 and the temperature is 30 DEG C. The combined flora YB2 not only can effectively degrade the PET film, but also can effectively degrade PET intermediate products BHET, MHET and TPA. The weight loss ratio of the PET film treated by the combined flora YB2 is 4.3%, obvious cracks and pores are formed in the surface of the PET film, key functional groups C-O, C = O and C-H of the PET film are obviously reduced, and a new solution is provided for efficient degradation of PET.

The invention relates to the technical field of aquaculture net cage control, in particular to a net cage suspension depth-keeping information sensing, monitoring and adjusting system which provides comprehensive data support for net cage state monitoring by collecting multi-source sensor data. A net cage real-time suspension state portrait is generated through data fusion processing, and a reliable basis is provided for decision making; by judging the suspension state, a multi-dimensional adjustment scheme is generated, and it is ensured that the net cage is rapidly recovered to the set state; adjusting instructions are executed through the multiple adjusting units, and safe operation of the net cage is guaranteed; by establishing a historical strategy retrieval and optimization mechanism, control parameters are optimized, and the long-term operation efficiency of the system is improved. The net cage is used for solving the problems that a traditional net cage is lagged in suspension state control and poor in stability under the complex sea condition, continuous and stable optimal growth water depth and posture can be provided for high-value cultured organisms sensitive to the environment, the survival rate and breeding efficiency of improved breeds are effectively improved, and the net cage has remarkable industrial application value.

The invention relates to the technical field of agricultural planting, and discloses a winter wheat rain-suitable planting configuration optimization method and system based on drought year identification, and the method comprises the steps: constructing a drought year identification index system, collecting the data of each drought year identification index in a target planting region in real time, carrying out the preprocessing of the collected data, and carrying out the calculation of the data; pre-processed data is obtained; inputting the preprocessed data into a drought year type identification model, and identifying the current drought year type of the target planting area through the drought year type identification model; determining planting configuration parameters of winter wheat suitable for rain according to the identified drought type in combination with historical rainfall data and soil characteristics of the target planting area; monitoring parameter information in real time through a sensor to obtain monitoring data, and adjusting planting configuration parameters according to the monitoring data so as to enable winter wheat to obtain optimal growth conditions in different drought years; according to the method, different drought years can be accurately identified, and a reliable basis is provided for winter wheat rain-suitable planting configuration optimization.

The invention relates to the field of agricultural fertilizers, and discloses a method for determining the nitrogen fertilizer application amount of rice. The method comprises the steps that the soil nitrogen supply amount is determined according to the soil texture, the soil CEC content and the soil organic matter content OM of a target rice field; calculating the nitrogen application amount of the target rice field according to the following formula: nitrogen application amount = total nitrogen demand of rice-nitrogen supply amount of soil; wherein the CEC content of the soil is calculated according to the following formula: the CEC content of the soil is equal to C1 / A1 + C2 / A2 + C3 / A3 + SEA. By means of the method, the application amount of the nitrogen fertilizer can be accurately calculated under different soil conditions, it is guaranteed that the rice can obtain enough nitrogen elements, the optimal growth and yield are achieved, meanwhile, excessive application of the nitrogen fertilizer is avoided, and nitrogen emission is reduced.

The invention discloses a method and system for optimizing an artificial habitat cold water supply control strategy, and relates to the technical field of coral cultivation. According to the scheme, through environment data, a temperature prediction model, a preset optimization algorithm and iterative optimization of a cold water supply control strategy, advanced prediction, simulation and closed-loop optimization control of the seawater temperature of an artificial habitat coral culture area in an open sea area are achieved. While the prevention accuracy and intervention efficiency of the coral whitening heat stress are improved, maximum energy conservation and consumption reduction are realized, and the optimal growth temperature of the coral is intelligently maintained.

This invention discloses a strain of *Neocallimastix* LGM-ZA9 and its application in the preparation of a coumarin-degrading feed additive. *Neocallimastix* LGM-ZA9 is classified as *Neocallimastix* sp., with accession number CGMCC No. 17592, and its optimal growth temperature is 39℃. The fermentation broth of *Neocallimastix* LGM-ZA9 can be used to degrade the anti-nutritional factor coumarin. The method is simple: the coumarin-containing material to be degraded is mixed with the fermentation broth, sterilized, and then the fermentation broth is added for anaerobic fermentation to degrade the coumarin. This preparation method is simple, highly operable, and can significantly reduce the coumarin content, providing a new method for feeding ruminants with sweet clover as a high-quality forage.

The invention provides a seedling-raising light-temperature-water-fertilizer coordinated regulation and control method based on a strong seedling index. The method comprises the following steps: S1, acquiring morphological data and physiological data of standard seedlings; s2, dynamically setting basic illumination, basic temperature, basic humidity and basic nutrient solution concentration parameters according to the seedling development stage; s3, calculating to obtain a real-time seedling strengthening index, and calculating to obtain a seedling strengthening index deviation through the real-time seedling strengthening index and the standard seedling strengthening index; s4, adjusting basic illumination, basic temperature and basic humidity according to the seedling strengthening index deviation; s5, if the real-time seedling strengthening index is lower than the index threshold value in the specified time period, the nutrient solution concentration is increased and supplemented, and the basic illumination parameters are adjusted. The method has the advantages that the seedling strengthening index is detected in real time, illumination, temperature, humidity and a nutrient solution are adjusted according to deviation, the most suitable growth environment can be provided for seedlings, adjustment is conducted according to the actual requirements of the seedlings, and it is ensured that the seedlings can obtain the optimal growth conditions in all growth stages.

A smart, movable fungus production chamber and control method relate to the field of smart fungus cultivation technology. The method addresses the uneven temperature, humidity, and air supply control issues in existing growth chambers. Furthermore, because cultivation technology relies on manual labor, quality control is difficult, leading to uneven fungus appearance and yield. The production chamber of the present invention consists of a growth chamber and an equipment chamber. Air parameter measurement sensor units are arranged on the cultivation racks within the growth chamber. Microducts are evenly arranged within the walls of the growth chamber. Air supply ducts are provided on both sides of the walls, and a return air duct is provided at the top. The control method of the present invention can control the temperature, humidity, and CO2 concentration of the production chamber. The production chamber of the present invention is a dual-system square chamber that utilizes an advanced three-dimensional heat recovery system to reduce energy waste. Fungus production is intelligently controlled using input optimal growth parameters for the fungus production cycle, avoiding fungus quality issues caused by varying technical skills of the cultivation personnel.

The invention discloses an intelligent movable fungus production cabin and a control method, relates to the technical field of fungus intelligent cultivation, and solves the problem that the temperature, humidity and air supply control of an existing growth cabin is not uniform. Meanwhile, due to the fact that the planting technology depends on manual work, quality control is difficult to conduct, and fungus object phases and yield are uneven, a production cabin is composed of a growth cabin and an equipment cabin; an air parameter measuring and sensing unit is arranged on the cultivation frame in the growth cabin; micro pipelines are uniformly arranged in the wall of the growth cabin; air supply pipelines are arranged on two sides of the wall; an air return pipeline is arranged at the top; according to the control method, the temperature, the humidity and the CO2 concentration of the production cabin can be controlled. The production cabin is a double-system square cabin, and energy waste is reduced by adopting an advanced three-dimensional heat recovery system; and fungus production is intelligently controlled through the input optimal growth parameters of the fungus production cycle, so that the fungus quality problem caused by uneven technical levels of planters is avoided.

One bacterial strain, designated HC1M1C21T, was isolated from human faeces and analyzed using phylogenetic, morphologic and biochemical approaches. Phylogenetic analyses based on 16S rRNA sequences and a set of 92 bacterial core genes indicated that this strain belongs to the Lachnospiraceae family and clusters near Pilosibacter fragilis (96.9% 16S rRNA sequence identity). HC1M1C21T has a DNA G+C content of 48.7 mol%. This strain is anaerobic, Gram- stain-positive, non-motile and non-spore-forming. HC1M1C21T cells appear as single rods or chained rods with tapered ends. Optimal growth was observed at 37°C, at pH between 5.5 and 6.5 and at salinity below 10 g / L. HC1M1C21T is a potent butyrate producer. The invention pertains to a new bacterial strain that produces butyrate and several independent factors with anti-inflammatory properties.

This invention belongs to the field of granulation, specifically disclosing an automated water suspension granulation control method based on online particle size monitoring, comprising: Step 1, during the granulation process, using an online particle size analyzer to monitor the particle size in real time and plotting a real-time particle size growth curve over time; Step 2, based on the morphological characteristics such as the slope change points of the real-time particle size growth curve, automatically dividing the granulation process into three characteristic stages; Step 3, for each stage divided in Step 2, establishing a quantitative model between particle size growth and key process parameters; Step 4, based on the model's predictive and feedback control, executing closed-loop control in a new granulation batch. This invention also discloses an automated water suspension granulation control system. This method and system, through real-time feedback and dynamic adjustment, ensure that the granulation process of each batch follows the optimal growth trajectory, significantly reducing product quality differences between batches.

The present invention discloses a dynamic acquisition system and analysis method for urban green space data, relating to the technical field of data analysis. The present invention collects remote sensing image data and infrared data monitoring of the target urban green space through a remote sensing drone; monitors the real-time environmental data of the green space through a sensing device; constructs an urban green space simulation model to analyze the real-time coverage of each urban green space and hierarchically divide each green area in the city; retrieves the real-time environmental data of each green space to evaluate the vegetation cycle growth environment impact index and constructs a corresponding cycle growth environment impact index development curve, analyzes the deviation degree of the optimal growth environment index of each green space in the cycle, and judges the regulation of the growth environment data of each green space; analyzes the degree of impact of vegetation environmental hazards on the green space to be regulated; exports the urban green space simulation model and correspondingly marks the environmental analysis data of each green space, prominently marks the green spaces with regulation requirements, and outputs regulation requirements according to the priority level.

The application discloses a kind of fruit tree breeding experimental devices and method thereof, it is related to breeding technical field, and cultivation separation box inside two ends equidistant fixed have lifting electric slide rail, one end of lifting electric slide rail is connected with positioning electromagnetic plate by slide rail seat, and the top of positioning electromagnetic plate is connected with connecting fixed plate by magnetic attraction, and multiple porous cultivation boxes are welded between two connecting fixed plates, and collection fixed box is connected by magnetic attraction between two positioning electromagnetic plates, the application effectively solves the problem that soil cannot be ploughed for a long time in prior art, which leads to soil compaction, affects the oxygen content and water content in soil, and improves the soil infiltration rate, avoids the occurrence of plant root rot caused by excessive moisture, and the fluffy soil can ensure the steady growth and development of plant roots, ensure the optimal growth state of plants, thereby effectively improving the seedling breeding speed of fruit trees.

The utility model discloses a cell culture unit and a cell culture plate comprising the cell culture unit, which belong to the field of cell culture and comprise culture tubes and caps arranged on the culture tubes. The outer part of the open end of the culture tube is sleeved with a positioning ring clamped with the cap, and an observation hole is formed in the central area of the cap. According to the cell culture unit and the cell culture plate containing the cell culture unit, the cell culture unit adopts a modular design, so that each culture unit can be independently subjected to sampling inspection and replacement, the sampling inspection cost is reduced, and the design that the observation hole is matched with the micron-sized pore membrane allows a user to observe the cell growth condition without opening the cap, so that the cell culture efficiency is improved. The risk of pollution is reduced, due to the design of the cell culture plate, especially the arrangement of the shading cover and the ventilation holes, the optimal growth environment is provided for cell types sensitive to light, and meanwhile gas exchange and dust prevention are ensured.

The utility model relates to the technical field of microalgae culture, in particular to a microalgae culture device. The microalgae culture device comprises a culture frame and a control box, the culture frame is provided with a plurality of culture layers, and each culture layer is provided with a culture assembly. Each culture layer is provided with a light source assembly, and the light source assemblies are located above the culture assemblies and electrically connected with the control box. An algae liquid detection part is arranged in the culture assembly, is connected with the control box and is used for detecting the microalgae growth state and the light environment in the culture assembly. According to the microalgae culture device provided by the utility model, the light source assembly can output optimal growth illumination for culturing microalgae, so that different illumination requirements of the microalgae in each growth stage are met, and the growth of the microalgae is promoted. Meanwhile, the microalgae culture process is controlled by the control box according to detection data of the microalgae liquid detection piece, manual intervention is not needed, and the reliability and stability of illumination adjustment are effectively improved.

The invention discloses a decoupling type fish and vegetable symbiotic system and an implementation method, and belongs to the technical field of ecological agriculture and circulating planting and breeding. The decoupling type fish and vegetable symbiotic system comprises a box body culture unit used for aquaculture; the input end of the digestion filtering unit is connected to the water outlet end of the breeding unit, and the digestion filtering unit is used for filtering and nitrifying the breeding wastewater; the planting unit adopts an aeroponic cultivation device, and the aeroponic cultivation device is provided with a spraying device; the double-loop fertilizer supply system comprises a fish culture water circulation branch and a nutrient solution branch, and the fish culture water circulation branch is used for leading water treated by the digestion and filtration unit to the spraying device; and the control unit is configured to control the double-loop fertilizer supply system, so that the spraying device selectively sprays fish culture water or nutrient solution, the limitation that the culture density and the planting area must be strictly matched is broken through, the fishes and the vegetables can be in the optimal growth state, and the efficiency and the stability of the system are improved.

The application discloses an irrigation pipeline system optimization design method based on data analysis and relates to the field of intelligent agriculture. Water level information, environmental information and meteorological data information of an irrigation area are collected in real time; state parameters are determined according to the obtained information data; a water level index is set, a water level dynamic model describing water level change of the irrigation area is constructed by using the state parameters and the water level index; irrigation quantity and drainage quantity are solved; the water level of the irrigation area is kept within the optimal growth water level range, and the water storage quantity does not exceed the maximum water storage quantity, which are taken as irrigation decision targets, a control model for controlling the irrigation quantity and the drainage quantity of the irrigation area is constructed; the control model is used to make irrigation decisions for the irrigation area, the growth water level of crops is ensured to be kept in the optimal state, the number of invalid irrigation times is reduced, and the waste of water resources is avoided, and the method can provide a scientific basis for network irrigation of paddy crops.

This invention belongs to the field of biological monitoring, specifically a method for detecting the viability of Poria cocos strains, comprising the following steps: Step S1: acquiring images of Poria cocos strains; Step S2: preprocessing the images acquired in Step S1; Step S3: extracting features from the preprocessed images, extracting key growth characteristics of the hyphae, including growth rate, biomass, and morphological characteristics; Step S4: quantitatively evaluating the viability of Poria cocos strains by combining the extracted growth rate, biomass, and morphological characteristics. In this application, the growth rate, biomass change rate, and morphological characteristic values ​​predicted by the ARIMA model can generate viability curves for future time periods. By performing time-series analysis on these predicted viability values, the viability trend of the strains over a future period can be determined, enabling early detection of the risk of decreased viability and timely adjustment of environmental conditions to maintain optimal growth. This also helps in selecting suitable temperature environments to maintain the optimal viability of Poria cocos strains.

The present invention discloses a Boletus aereus strain AC2266 and its application. This strain is obtained by self-crossing of YL1701-2, and was deposited in the China General Microbiological Culture Collection Center (CGMCC) on March 3, 2021. The deposit number is CGMCC NO.21923, and the taxonomic name is: Boletus aereus AC2266. The present invention also discloses the application of the Boletus aereus strain in the production of Boletus aereus. This strain has a relatively fast mycelial growth rate, a relatively low optimal growth temperature, a darker cap color, a thicker cap, and a yellower stipe, and is an excellent new variety that can be used for the industrial production of Boletus aereus.

The utility model discloses a production device for high-quality rice seedling raising, which relates to the technical field of rice seedling raising and comprises a cultivation box, an intelligent ventilation component is arranged in the cultivation box, and the inner walls of the left side and the right side of the cultivation box are fixedly connected with cultivation tray distance adjusting components. A plurality of culture dish fixing assemblies which are distributed at equal intervals in the left-right direction are fixedly connected to the top of the culture tray. By means of the intelligent ventilation assembly, humidity, temperature and carbon dioxide concentration are accurately controlled, the optimal growth environment is created for rice seeds and seedlings, the environment requirements of different stages are met, the distance between the cultivation trays can be flexibly adjusted according to the growth height of the seedlings through the cultivation tray distance adjusting assembly, and the seedling growing efficiency is improved. The special requirements for seedling raising of different varieties of rice are better met, the universality of the device is improved, and the arranged culture dish fixing assembly avoids physical damage to seedlings due to movement of a culture dish.

This invention discloses a method and apparatus for optimizing the crystal quality of LED epitaxial layers based on deep learning, relating to the field of semiconductor technology. The method includes: acquiring historical growth parameters and historical crystal quality characterization data, wherein the historical growth parameters and historical crystal quality characterization data correspond one-to-one; preprocessing the historical growth parameters and historical crystal quality characterization data; constructing a supervised learning dataset using the preprocessed historical growth parameters as input features and the preprocessed crystal quality characterization data as output labels; constructing a deep learning model and training the deep learning model using the supervised learning dataset to generate a forward model; optimizing the forward model to obtain optimal growth parameters; and applying the optimal growth parameters to an MOCVD device for epitaxial growth experiments. Using this invention, precise, efficient, and intelligent optimization of the crystal quality of LED epitaxial layers can be achieved.

The invention discloses a cotton field soil monitoring system and method in an ultra-wide film planting mode, generally, the width of a film adopted in ultra-wide film planting is 4-4.5 m, the main stream is 4.4 m, the thickness is 0.0150.015 mm, the use amount is about 5-9.5 kg / 667 square meters, a precision dibbler with a sowing machine for 12 rows of a film or 8 rows of a film is adopted, a cross-shaped duckbill is matched, the sowing depth is controlled within 3 cm, and the cotton field soil monitoring system is applied to cotton field planting. According to the method, the thickness of the soil can be ensured to penetrate through the thick film, the row spacing is 13 cm * 63 cm mostly, the plant spacing is 10-12 cm, and the theoretical density is 13,500-17,500 plants per 667 square meters, and the invention relates to the technical field of soil monitoring. According to the cotton field soil monitoring system and method in the ultra-wide film planting mode, soil and cotton states are monitored, data of the soil and cotton states are combined and analyzed by combining a soil disease prevention and treatment module, an optimal management scheme of a cotton field is obtained, and then cotton reaches the optimal growth state; the output value of the cotton field in the ultra-wide film planting mode is improved, and the growth states of cotton in different periods are monitored.

The invention belongs to the field of plant rapid propagation, and particularly relates to an acer truncatum cuttage rapid propagation method. According to the method, the optimal growth conditions for the acer truncatum of different tree ages are obtained by regulating and controlling the influence of the types, the concentrations and the growth matrixes of the cutting growth hormones of the acer truncatum of different tree ages, the optimal rooting combination of the acer truncatum big tree is that the current-year new branches of the big tree are treated by using perlite as a matrix and 200mg / L IBA, and the rooting rate reaches 56.67%. The optimal rooting combination of the ancient acer truncatum trees is that 200mg / L ABT is used for treating current-year new branches of the ancient trees, and the rooting rate reaches 24.67%. Research results show that acer truncatum of different tree ages needs to be treated by different hormones for rooting, so that technical support is provided for rapid propagation of acer truncatum of different tree ages. Compared with the prior art, the rooting rate of the acer truncatum is increased.

A system is provided.SOLUTION: A system comprising: means for collecting a plurality of pieces of environmental data related to a growth state of a plant using a sensor; means for analyzing the environmental data using generative artificial intelligence and proposing an optimal growth condition; means for automatically adjusting an environment based on the proposed growth condition; and means for collecting the adjusted environmental data again and performing feedback.SELECTED DRAWING: Figure 1

This invention relates to the field of agricultural planting technology and discloses a method and system for optimizing the planting configuration of winter wheat based on drought year type identification. The method involves constructing a drought year type identification index system, collecting data on each drought year type identification index in real time within the target planting area, preprocessing the collected data, and inputting the preprocessed data into a drought year type identification model to identify the current drought year type in the target planting area. Based on the identified drought year type, combined with historical rainfall data and soil characteristics of the target planting area, the optimal planting configuration parameters for winter wheat are determined. Real-time monitoring of each parameter information is achieved using sensors, and the planting configuration parameters are adjusted based on the monitoring data to ensure optimal growth conditions for winter wheat under different drought year types. This invention can accurately identify different drought year types, providing a reliable basis for optimizing the planting configuration of winter wheat under suitable rainfall conditions.

This invention discloses an intelligent temperature control system for greenhouses, relating to the field of greenhouse temperature control technology. The intelligent temperature control system includes a data acquisition module, a crop growth database module, a data analysis and decision-making module, a remote monitoring and alarm module, an intelligent control module, and a user interface module, wherein the modules are electrically connected. This invention monitors the temperature environment inside the greenhouse in real time and precisely adjusts it according to the crop's growth needs and current environmental conditions, ensuring that the crop is always within the optimal growth temperature range. This promotes healthy growth and development of the crop. Compared with traditional manual control methods, it can more accurately control temperature fluctuations, avoiding problems such as stunted crop growth and increased pests and diseases caused by unsuitable temperatures. Furthermore, it can automatically adjust the temperature setpoint according to different growth stages and types of crops, further optimizing the growth environment and improving crop yield and quality.