81 results about "Optimal growth" patented technology

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 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.

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.

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 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 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 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.

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.

The invention discloses a method and device for determining a crop irrigation strategy and a storage medium. The method comprises the steps of obtaining historical planting data of a target planting area; inputting each first soil moisture content threshold group comprising a plurality of soil moisture content thresholds in different growth stages and historical planting data into a crop moisture production model to obtain a target function of crop yield and irrigation volume and a function value corresponding to each first soil moisture content threshold group, the target function is the highest crop yield and the minimum irrigation volume of the target planting area; and determining a first target soil moisture content threshold group corresponding to the target planting area according to the function values corresponding to all the first soil moisture content threshold groups, and taking the first target soil moisture content threshold group as an irrigation strategy of the target planting area. According to the scheme, the soil moisture content threshold values are set and optimized respectively according to the moisture requirements of the crops in different growth stages, the water utilization efficiency is improved through refined moisture management, and the optimal growth conditions of the crops in each growth period are met.

The invention belongs to the technical field of agricultural intelligent regulation and control, and particularly provides an agricultural greenhouse artificial intelligence regulation and control system and method based on waste heat utilization of a power plant. An agricultural greenhouse artificial intelligence regulation and control system based on power plant waste heat utilization comprises a greenhouse environment regulation and control module, a data acquisition module, a prediction module, a crop model module, an intelligent decision module and a control module. The data acquisition module can collect existing waste heat input, waste heat output and future weather information, the prediction module predicts the future thermal load demand of the greenhouse according to the current external environment and future weather forecast, and the crop model module stores environment parameters suitable for the current growth cycle of crops. The intelligent decision-making module can integrate three-party information of the real-time environment, the future prediction and the crop demand to formulate an optimal control strategy, and the control module executes precise regulation and control on the greenhouse environment, so that the production of the crops in the optimal growth environment is ensured, and the quality and the yield of the crops are improved.

The present application relates to the technical field of aquaculture net cage control, and particularly relates to a net cage suspension depth fixing information sensing monitoring and adjusting system, which comprises the following steps: collecting multi-source sensor data to provide comprehensive data support for net cage state monitoring; generating a net cage real-time suspension state image through data fusion processing to provide a reliable basis for decision making; generating a multi-dimensional adjusting scheme through judging the suspension state to ensure that the net cage is quickly restored to the set state; executing adjusting instructions through multiple adjusting units to ensure the safe operation of the net cage; and establishing a historical strategy retrieval and optimization mechanism to optimize control parameters and improve the long-term operation efficiency of the system. The present application is used to solve the problems of traditional net cages, such as lagging in suspension state regulation and control under complex sea conditions and poor stability, and can provide a continuous and stable optimal growth water depth and posture for high-value aquaculture organisms sensitive to the environment, effectively improve the survival rate and breeding efficiency of good strains, and has significant industrial application value.

This invention discloses an intelligent hydroponic cultivation cabinet and its control system. The intelligent hydroponic cultivation cabinet uses a temperature sensor and an air conditioning system to regulate the working temperature within the working chamber, ensuring optimal growth during planting. It also uses a humidity sensor and a humidification system to regulate the working humidity within the working chamber, maintaining optimal growth humidity. Furthermore, the coordinated operation of a fresh air system, a nutrient solution circulation system, and lighting provides a suitable environment for plant growth, ensuring healthy plant development. The control system for this intelligent hydroponic cultivation cabinet can be customized with planting plans based on the variety of hydroponic plants. The system automatically adjusts the lighting, nutrient solution concentration, temperature, and humidity according to the planting plan, providing a more suitable environment for plant growth. Moreover, the operation is simpler, requiring minimal manual intervention.

The invention discloses a whole-tray type large seed vertical directional seeding method and device for factory plug seedling, machine vision and a mechanical device are combined, accurate directional seeding operation of seeds is realized through direction-adjusting migration after whole-tray type pre-seeding, and the whole set of device comprises a conventional matrix plug conveying belt and a direction-adjusting seeding device, the device is composed of a parallelogram connecting rod mechanism, four array type seed storage containers with different stations, three whole-disc type negative pressure seed suction devices responsible for seed movement between the different stations, a camera and a control system. After the seeds are taken from the seed box by negative pressure, four actions of pre-sowing, horizontal direction adjusting pre-sowing, vertical seed falling direction adjusting and seed pressing are performed in sequence, so that precise directional sowing of 45-degree circumferential positioning relative to the center of each hole and vertical insertion into matrix soil is realized, the orientation consistency of cotyledons in the seedling stage is ensured, and the optimal growth space and illumination are obtained. The seeding efficiency and quality are high, and convenient conditions are provided for subsequent accurate grafting.

The invention discloses a three-dimensional circulating cultivation rack water-saving irrigation device and an intelligent control method, and belongs to the technical field of agricultural production. The water-saving irrigation device for the three-dimensional circulating cultivation rack comprises a three-dimensional circulating rack system, the three-dimensional circulating rack system comprises a top cross rod and a bottom cross rod which are horizontally arranged in a pair, and the top cross rod and the bottom cross rod on the same vertical plane are connected through a plurality of vertical connecting rods to be spliced into a rack body; a plurality of gears are arranged on the top cross rod and the bottom cross rod in a staggered mode, the gears are in driving connection through a transmission chain to form a W-shaped circulation path, a plurality of hanging baskets are evenly installed on the transmission chain, the height, the distance and the operation speed of the cultivation units are flexibly adjusted according to the growth requirements of different crops, and the optimal growth environment is provided for the crops; precise and intelligent management of the irrigation process is achieved, the utilization efficiency of water resources can be remarkably improved, the irrigation cost is reduced, and the crop growth environment is optimized.

The invention discloses an optimal prediction system for selecting black carp growth traits based on a whole genome and a construction method and application thereof.The system is composed of an optimal GS statistical model GBLUP model and an optimal SNP genotype site set with the number of 12000, the construction method comprises the steps that genome re-sequencing and genetic typing are conducted on 499 black carps, and 237730 high-quality SNP sites are obtained; carrying out whole genome association analysis by combining the phenotypic data of the growth traits of the black carps to obtain 9 SNP genotype site sets; 80% of a black carp group is used as a training group, black carp growth character phenotype data, five GS statistical models and nine SNP genotype site set data are utilized to establish a black carp growth character GS prediction model, a black carp growth character optimal prediction system is obtained through verification and screening, and breeding values of growth characters in the black carp group are rapidly and accurately calculated. The early prediction of the growth traits of the black carps is realized, and the black carps with good growth potential are screened.

The invention relates to the crossing field of biotechnology and environmental engineering, in particular to an external power supply enhanced aerobic biological reaction device and application thereof. Comprising a reaction box, a plurality of plug-in limiting frames arranged in the reaction box in parallel, an electrode frame body detachably arranged on the plug-in limiting frames, a plurality of carbon fiber brushes arranged on the electrode frame body, a direct-current power supply connected with the carbon fiber brushes, and an aeration mechanism arranged below the carbon fiber brushes. By applying direct current, the electron transfer process of microorganisms is accelerated, oxygenolysis of a substrate and synthesis of PHA are promoted, and the yield and synthesis rate of PHA are remarkably improved. The micro electric field formed by the direct current can influence the metabolic pathway and growth rate of the microorganisms, so that the microorganisms reach the optimal growth state within a shorter time, and synthesis of PHA is facilitated. By improving the synthesis efficiency and yield of PHA, the production cost is reduced, and a more competitive solution is provided for the production of bioplastics.

This invention belongs to the field of plant tissue culture technology, specifically relating to a method for producing natural cellulose from adventitious roots and its application. The induction culture method includes: using industrial hemp leaves as explants, inducing callus formation, differentiating solid adventitious roots, and obtaining adventitious roots through liquid suspension culture; changing the ammonium-nitrate ratio in the 1 / 2 MS medium to 1000 mg / L potassium nitrate and 300 mg / L ammonium nitrate, and increasing the concentration of EDTA-Fe chelated iron, while keeping other substances unchanged; adding 2 mg / L gibberellin on the 14th day of culture, along with EDTA-2Na to eliminate CaSO4 and release sulfate ions, synergistically increasing cellulose content with gibberellin. Finally, transferring to a bioreactor, nitrogen gas is introduced through a nitrogen cylinder (hypoxia stress), employing a hypoxia-reoxygenation cycle, resulting in the optimal growth state of the adventitious roots from the industrial hemp roots, and the highest cellulose content in the resulting adventitious roots.

The utility model discloses an irrigation area soil irrigation and drainage structure, which relates to the technical field of irrigation area irrigation and comprises a first water storage tank and a second water storage tank which are used for storing irrigation area soil irrigation and drainage water, and a filtering and purifying box used for purifying rainwater is arranged between the first water storage tank and the second water storage tank. One side surface and the other side surface of the filtering and purifying box are communicated with first connecting pipes provided with one-way valves. The irrigation pipeline is laid in the irrigation area so as to irrigate the soil in the irrigation area, the irrigation mode can be switched according to the requirements of users, meanwhile, rainwater in the soil in the irrigation area can be collected through the irrigation pipeline, the collected rainwater is filtered and purified to serve as irrigation water, and the irrigation area can be recycled. And the fertilizer and the irrigation water in the first water storage tank can be stirred and mixed, so that the dissolving effect of the fertilizer is improved, and an optimal growth environment is created for crops.

The invention discloses a shiny-leaved yellowhorn growth state intelligent monitoring analysis method and system, and relates to the technical field of monitoring analysis. According to the intelligent monitoring and analyzing method for the growth state of the xanthoceras sorbifolia bunge, the optimal growth area is accurately locked through image clustering, and flora combination analysis is associated with specific environmental conditions in combination with soil sampling and temperature and humidity data; finally, the optimal flora combination which is adaptive to different temperature and humidity, is highly associated with high-quality growth and can stably play a role is screened out, accurate connection from macroscopic monitoring to microcosmic flora screening is achieved, the scientificity and high efficiency of shiny-leaved yellowhorn growth management are improved, and the method is suitable for popularization and application. The method solves the problem that the suitability and the stability of the screened growth-promoting flora group in the traditional shiny-leaved yellowhorn growth monitoring are insufficient.

This invention provides a sugarcane tissue culture seedling cultivation system, belonging to the field of sugarcane cultivation technology. It includes a sterile environment cultivation chamber, an environmental factor synergistic regulation system, a machine vision-based intelligent management system for culture media and cultures, culture bottles, and culture racks. The culture bottles are placed on the culture racks, which are located within the sterile environment cultivation chamber. This invention establishes a light-temperature-humidity-air linkage model to simulate the optimal growth microenvironment, significantly promoting the robust growth of sugarcane tissue culture seedlings, shortening the cultivation cycle, and increasing the proliferation coefficient and rooting rate. It utilizes machine vision technology to automatically monitor growth parameters such as seedling height, bud number, and root system, accurately determining the optimal time for transfer and termination of rooting culture, eliminating weak, deformed, and contaminated seedlings, and greatly improving the uniformity and quality of seedlings. By optimizing the design of the lighting system and the standardized placement of culture bottles, it ensures uniform light distribution and reduces energy consumption; through precise control, it reduces resource waste.

The invention discloses an automatic intelligent cultivation system for high-value crops, and the system comprises an environment monitoring module, a crop detection module, a central controller, a regulation and control decision module, an execution module, a system feedback and optimization module, and an intelligent algorithm control module. The temperature and humidity are adjusted through heat energy heating and refrigerating systems, and the optimal growth environment is created for crops. The AI is controlled through the whale optimization algorithm to adjust the light transmittance and the internal temperature and humidity. Meanwhile, solar energy is converted into electric energy and heat energy through the photovoltaic and photo-thermal dual-energy plate, a better growth environment is provided for agricultural products, and therefore the yield and quality of crops are effectively improved, and energy consumption and cost are reduced.

The invention discloses a molecular beam epitaxy tellurium-cadmium-mercury film growth control method based on RHEED spot intensity real-time feedback. The method comprises the following steps: selecting a specific crystal orientation reflection spot and monitoring the intensity of the specific crystal orientation reflection spot; setting growth parameters, and determining an initial growth temperature, a temperature interval and an adjustment step length based on a Hg / Te ratio; growing at the initial temperature to obtain an RHEED spot intensity initial value; after surface resetting, the temperature is adjusted according to the step length for secondary growth, and the strength is obtained and corrected; comparing the initial value with the corrected intensity, judging the temperature adjusting direction, and repeating the steps of surface resetting, growing, intensity obtaining and correcting in the correct direction. Under unknown growth conditions (any Hg / Te), multiple growth is carried out on the same substrate by using different growth temperatures after multiple surface resetting, and the optimal growth temperature is determined according to feedback of RHEED spot intensity. The method is used for guiding the preparation of the tellurium-cadmium-mercury thin film and improving the repeatability of material preparation, the controllability of process adjustment and the mobility of the process among equipment.