1243 results about "Fragaria" patented technology

The invention discloses a strawberry internal quality and maturity nondestructive testing method based on an MPCD-Mama model. The strawberry internal quality and maturity nondestructive testing method comprises the following steps: acquiring a strawberry sample, acquiring a hyperspectral image by using a hyperspectral reflection imaging system, measuring SSC, PH and hardness, and marking maturity; correcting the hyperspectral image, performing spectrum extraction to form a data set, and dividing the data set into a training set, a test set and a verification set; the method comprises the following steps: constructing an MPCD-Mama model, training the MPCD-Mama model by using a training set, testing the performance of the MPCD-Mama model by using a verification set on the basis of a cross validation method, predicting related indexes on the basis of the pre-trained MPCD-Mama model, generating heat maps of corresponding components at different positions of strawberries, and displaying the distribution conditions of the different components. According to the method, nondestructive testing of multiple quality parameters of strawberries is achieved, compared with a traditional method, the prediction precision is remarkably improved, and technical support is provided for nondestructive testing of the quality of the strawberries.

The invention provides bacillus velezensis NR10, and the preservation number of the bacillus velezensis NR10 is CGMCC (China General Microbiological Culture Collection Center) NO.31771. The bacillus velezensis NR10 is a strawberry endophyte, has good bacteriostatic activity, has good antagonistic action on botrytis cinerea, fusarium oxysporum, colletotrichum gloeosporioides, colletotrichum oxysporum, trichoderma harzianum, trichoderma longibrachiatum and the like, is a potential biological preparation for preventing and treating strawberry diseases and the like, and has broad application prospects. And the bacteriostatic action of the bacillus velezensis NR10 has thermal stability. In addition, the bacillus velezensis also has good capacities of producing siderophores, fixing nitrogen and dissolving potassium, producing protease and cellulase and the like. The bacillus velezensis NR10 provided by the invention has wider-spectrum disease resistance, wide development space and good development and application prospects.

The invention relates to the technical field of intelligent agriculture and Internet of Things control, and discloses an intelligent greenhouse control method and system based on the Internet of Things, and the method comprises the steps: constructing a multi-factor environment state vector; strawberry image features are extracted based on YOLOv5; inputting a strawberry growth stage prediction model in combination with the time sequence to determine target environment parameters; constructing an environmental parameter prediction model; constructing a dual error term, and inputting the dual error term into a fuzzy controller to generate a preliminary control instruction; optimizing and outputting an optimization control instruction by the Q learning network; compared with a greenhouse control method which mostly depends on a fixed threshold value or a static rule in the prior art, the technical problem that dynamic target setting and self-adaptive adjustment of environmental parameters are difficult to realize especially under the condition that demands of strawberry crops in different growth stages change rapidly is solved. Intelligent greenhouse environment control in combination with the growth stage of strawberry crops is realized, and the adaptability of the greenhouse to crop growth conditions is improved.

The invention discloses talaromyces sp. DFHJ2 and application of a fermentation product of the talaromyces sp. DFHJ2 in strawberry growth promotion and pathogenic bacterium inhibition, and relates to the technical field of microbiology. The talarospora scabra is preserved in the China General Microbiological Culture Collection Center on February 17, 2025, the preservation address is No.3, No.1 yard, Beichen West Road, Chaoyang District, Beijing, and the preservation number is CGMCC No.41813. The talarospora scabra is named as talarospora scabra. According to the invention, a talaromyces scabra strain is separated from the root of 'Zhongjiang Junjun' strawberry, and the talaromyces scabra strain has a good antagonistic effect on strawberry anthracnose and other types of strawberry pathogenic bacteria which are seriously harmful in the current production, and can be used for efficiently preventing and treating strawberry anthracnose and other strawberry diseases. In addition, the strain is moderate in growth speed, large in sporulation quantity, easy to ferment and high in adaptability to the pH value of the environment, has a certain growth promoting effect on strawberry seedlings, and has the huge potential of being developed into an efficient biocontrol microbial agent.

The invention discloses a gene for enhancing gray mold resistance of strawberry fruits and application of the gene, and belongs to the technical field of gene engineering. The nucleotide sequence of the gene disclosed by the invention is as shown in SEQ ID NO.7. The invention provides the gene for enhancing the gray mold resistance of the strawberry fruit, the gene is introduced into the strawberry body to realize stable overexpression, the gray mold resistance of the strawberry fruit is obviously enhanced, the gene has no influence on the quality of the strawberry fruit, and a new gene resource and a theoretical support are provided for breeding of strawberry varieties with high gray mold resistance.

The invention provides a multi-task identification method for strawberry diseases and insect pests, and belongs to the technical field of strawberry leaf disease identification. The method comprises the following steps: marking an enhanced original strawberry leaf image, and constructing a multi-task training data set; inserting a double attention unit on a semantic segmentation model decoder as a segmentation network, constructing a detection network based on a lightweight detection model, inputting a segmentation mask output by the segmentation network into the detection network to construct a cascade model, and performing preliminary training; performing multi-task joint learning on the cascade model; based on the multi-task data set, a progressive training strategy is combined with a cosine annealing learning rate adjustment strategy, and final training is carried out on the cascade model after joint learning; and inputting a to-be-detected strawberry leaf image into the finally trained cascade model, and outputting a disease type and a severity level. According to the method, the recognition sensitivity of tiny disease spots can be effectively improved, and the generalization ability of the model to complex illumination and shielding scenes is enhanced.

The invention discloses an application of MAPK-related protein for regulating plant type and growth and development of plants. The invention belongs to the field of botany, and particularly relates to application of MAPK related protein for regulating plant type, growth and development. The invention provides a method for regulating and controlling plant type and growth development, which comprises regulating and controlling the activity and / or content of protein in a target plant, or / and regulating and controlling the expression quantity of a coding gene of the protein so as to regulate and control the plant type and growth development of the plant. The protein is the following protein: a composition consisting of a protein FvMAPK3 of which the amino acid sequence is SEQ ID No. 3 and a protein FvMAPK6 of which the amino acid sequence is SEQ ID No. 6. Experiments prove that the expression of the two proteins FvMAPK3 and FvMAPK6 is reduced, so that the plant type and growth and development of strawberries can be regulated and controlled, and important theoretical significance is achieved for strawberry breeding.

The invention discloses a strawberry plant feature recognition method and system based on deep learning, and the method comprises the following steps: collecting strawberry image data, marking the data, and dividing the data into a training set, a verification set and a test set; constructing a strawberry plant feature recognition model based on deep learning by adopting a YOLOv10 model, inputting image data, and performing model training and testing; performing model fine tuning by setting performance indexes, screening data, expanding a data set and improving the flooding ability of the model; hyper-parameters are adjusted to improve model performance, model pruning and model quantification are adopted to reduce the size of the model, and recognition accuracy is improved. Accuracy and efficiency of strawberry plant feature recognition are remarkably improved, and monitoring and management of a large-scale planting field are supported.

The invention discloses a FaABI3 gene and application thereof in regulation and control of strawberry fruit maturity and strawberry flavonoid content, and relates to the field of gene engineering, the nucleotide sequence of the FaABI3 gene is shown as SEQ ID NO.1, and the amino acid sequence of protein encoded by the FaABI3 gene is shown as SEQ ID NO.2. A FaABI3 gene silencing vector is constructed and is used for infecting octaploid strawberry fruits in a small green period, so that the strawberry fruit maturity and strawberry flavonoid content can be regulated and controlled, and the strawberry fruit maturity and strawberry flavonoid content can be regulated and controlled. Strawberry fruits with the FaABI3 gene silenced are obtained through screening according to the gene expression quantity in the fruits, it is indicated that by changing the expression quantity of the FaABI3 gene in strawberries, the growth and development of the strawberries can be regulated and controlled, the FaABI3 gene can be applied to strawberry genetic breeding, an important foundation is laid for strawberry variety improvement, and the method has a wide application prospect. The application of the FaABI3 gene in increasing the content of strawberry flavonoid spinosin, sophoricoside, formononin and delphinidin is found for the first time, and further understanding of a strawberry flavonoid regulation mechanism is facilitated, so that the strawberry flavonoid content can be regulated by utilizing a biotechnological means, and an important foundation is laid for strawberry variety improvement.

The invention discloses a ridge-crossing type variable-spraying-width strawberry spraying robot structure and an operation control method thereof, and aims to meet the requirement for precise operation in a complex environment of a strawberry garden, improve the operation efficiency and reduce the labor cost. The chassis adopts a hub motor driving wheel set and a universal wheel set and is combined with a height adjusting device, so that flexible running and terrain adaptive capacity between ridges of the strawberry garden are realized; the spraying system supports dynamic adjustment of the spraying width and the spraying amount through the design of a carbon fiber folding rod and a modular nozzle, and the variable spraying requirement is met. The robot utilizes a depth camera to collect strawberry plant and inter-ridge environment information, accurately recognizes plant positions, growth states and pest and disease damage conditions through a Fast R-CNN image recognition model, and realizes autonomous navigation and path planning in combination with a GNSS navigation module and an MPC model prediction control algorithm. The composite sensor group monitors the running state and the working environment of the robot in real time, and provides data support for spray volume adjustment and path optimization.

The invention relates to the technical field of agricultural picking robot visual perception, and discloses a strawberry fruit detection and picking key point positioning method and model based on deep learning. The method comprises the following steps: acquiring strawberry RGB-D images to construct a data set; on the basis of a YOLOv8-Pose architecture, global feature extraction is enhanced by constructing a C2f-MAMBA module of a fusion state space model, an HWD module is introduced to retain detail features, and a Faster Net Block is used for weight reduction, so that an STRAW-MAMBA model is constructed; outputting coordinates of five key points such as a fruit bounding box and a shear point by the model, and performing geometric compensation on a shielding point; and finally, calculating three-dimensional space coordinates of the key points in combination with depth information. According to the method, a C2f-MAMBA module based on Mama is innovatively introduced, global feature association is effectively modeled, a multi-scale attention mechanism is combined, the defect that long-range dependence is difficult to capture in a traditional CNN is overcome, and the detection and positioning precision of strawberry fruits and picking key points thereof in a complex background is remarkably improved.

The invention discloses a microbial agent for improving the yield and quality of strawberries and a preparation method and application thereof, and belongs to the technical field of microorganisms. The microbial agent comprises the following raw materials in parts by weight: 40-50 parts of a compound microbial agent, 0.3-0.5 part of xanthan gum, 1.5-2 parts of glycerol, 4-5 parts of a citric acid-sodium citrate buffer solution, 1-1.5 parts of potassium humate, 0.3-0.5 part of monopotassium phosphate, 0.2-0.3 part of chelated calcium magnesium and the balance of water, wherein the total parts by weight of the raw materials are 100; the compound microbial agent is prepared from arthrobacter Xinjiang, linear Prussella bursa-pastoris and bacillus coagulans. The microbial agent disclosed by the invention can be used for effectively preventing and treating strawberry diseases, including root rot, fusarium wilt, gray mold and anthracnose; through the synergistic effects of hormone secretion, nutrient activation, disease inhibition and the like, the microbial agent comprehensively promotes root development and nutrient absorption of strawberry plants, promotes strawberry growth, remarkably improves the strawberry yield and fruit quality, and meanwhile remarkably reduces the strawberry storage rotting rate.

The invention belongs to the technical field of plant biology, and discloses application of FvNAC073 in regulation and control of strawberry fruit ripening or fruit size. The invention finds that FvNAC073 has an important biological function in strawberry ripening or fruit size, after the FvNAC073 is knocked out, the anthocyanin content in strawberry fruits is reduced, the fruit softening is delayed, the abscisic acid content in the fruits is reduced, the longitudinal and transverse diameters of the fruits are reduced, and the weight of a single fruit is reduced; after the FvNAC073 is over-expressed, the content of anthocyanin in strawberry fruits is increased, the fruits are softened in advance, the content of abscisic acid in the fruits is increased, the longitudinal and transverse diameters of the fruits are increased, and the weight of a single fruit is increased, so that a new gene resource can be provided for molecular breeding for researching the sizes of the strawberry fruits and ripening of the strawberries.

The invention relates to the technical field of planting environment detection, in particular to an agricultural product planting environment detection method and system. The method comprises the following steps: acquiring a soil layer state of a strawberry planting area through a soil monitoring sensor, and performing pH fluctuation analysis to obtain strawberry soil layer pH fluctuation data; obtaining strawberry plant morphology data, evaluating a root system extension state, simulating organic matter decomposition and decay based on soil layer acidity and alkalinity data, and analyzing the peracid development retardation of strawberry root systems; analyzing the soil layer over-alkaline fluctuation index, simulating the influence of the over-alkaline soil layer on the absorption of trace elements in the strawberry root system, and carrying out regression analysis on the nutrient uptake efficiency; and constructing an automatic planting environment detection model in combination with the root development retardation evolution data and the nutrient uptake efficiency regression data, and uploading the model to a cloud platform to execute agricultural product planting environment detection. According to the invention, the planting environment detection technology is optimized, so that the planting environment detection technology is more perfect.

The invention belongs to the field of food fermentation, and particularly relates to a fermented strawberry product fermented by lactobacillus mucus FUA033 and a preparation method of the fermented strawberry product. On the basis of a fermentation technology, the fermented lactobacillus mucus FUA033 is used for fermenting the strawberry juice, so that the urolithin A is generated through fermentation and conversion, the smell and nutritional ingredients are enriched, and meanwhile, probiotics such as the fermented lactobacillus mucus FUA033 can be supplemented. The nutritional efficacy and value of strawberries are improved, the preparation technology of lactic acid bacteria applied to functional food is enriched, and the method has a good application prospect.

The picking device comprises a main body and picking claws, a claw seat is mounted at the front end of the main body, a plurality of picking claws are mounted on the claw seat in an annular array mode, each picking claw comprises a front claw and a rear claw, the front claw and the rear claw are each of an arc-shaped structure, an air channel is formed in the rear claw in the arc-shaped circumferential direction, and the front claw and the rear claw are communicated with each other. One end of the front claw is inserted into the air channel from the front end of the rear claw, the front claw can slide in the direction of the air channel, and an air channel control structure is further installed outside the main body. The picking claw for wrapping and picking strawberries is divided into two parts, so that when multiple strawberries need to be crossed together during picking of the strawberries, a small part of front claws can be independently controlled to stretch out and be inserted into the crossed positions of the to-be-picked strawberries and other strawberries, the to-be-picked strawberries are picked out, and then the to-be-picked strawberries are picked out; and then other front claws are controlled to wrap the strawberries together, and accurate picking is carried out.

The invention discloses a strawberry seedling and tissue culture and non-test tube rooting combined rapid propagation method, which comprises the following steps: selecting an explant, and disinfecting; inoculating and culturing; performing non-test-tube rooting culture; and hardening seedlings and transplanting. Through non-test-tube rooting culture, the process is simplified, the pollution risk is reduced, the transplanting difficulty of tissue culture seedlings is reduced, and the survival rate is increased; through the combination of tissue culture and a non-test-tube rooting technology, the survival rate of acclimatization and transplantation is as high as 91% or above; the method realizes efficient and low-cost propagation of strawberries, and is suitable for large-scale popularization and application.

The invention relates to the technical field of microorganisms, in particular to paenibacillus polymyxa ZR-4 and application of the paenibacillus polymyxa ZR-4, the paenibacillus polymyxa ZR-4 is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation address is No.3, No.1 yard, West Beichen Road, Chaoyang District, Beijing, the preservation date is May 17, 2024, and the preservation number is CGMCC No.30589. The paenibacillus polymyxa ZR-4 is named as Paenibacillus polymyxa ZR-4. The paenibacillus polymyxa ZR-4 provided by the invention not only can promote the growth of plants such as strawberries, corns and rice, but also has a biological control effect on agricultural diseases such as strawberry gray mold and corn southern leaf blight, has an excellent antagonistic effect on pathogenic bacteria of various plant diseases, and has a wide application prospect and development space.

The invention discloses an SNP (Single Nucleotide Polymorphism) marker combination for identifying strawberry germplasm resources and application of the SNP marker combination. According to the present invention, strawberry core resource whole genome re-sequencing is performed, the SNP marker set is developed at the whole genome level, the KASP primer combination is designed and synthesized, and the DNA fingerprint database is established by using the SNP marker combination, such that the strawberry variety can be subjected to clustering analysis and variety identification so as to achieve the accurate and efficient detection result, and the method has characteristics of high specificity, high sensitivity and high sensitivity. Based on the primer combination marker, 162 germplasm can be effectively distinguished for the first time, which is the maximum population number capable of distinguishing and identifying strawberry germplasm resources in China at present.

The invention belongs to the technical field of genetic engineering in molecular biology, and relates to a gene for regulating and controlling the sugar content of strawberry fruits and application of the gene. According to the invention, the FveSMXL7 gene is cloned from forest strawberries and is used for constructing a silent vector of the FveSMXL7 gene, and a stable transgenic technology proves that the sugar content of strawberry fruits can be increased by reducing the expression of the FveSMXL7 gene, which indicates that the gene has the function of regulating and controlling the sugar content of the strawberry fruits.

The embodiment of the invention discloses a Yarrowia guilliermondii as well as a separation and screening method, an identification method and application of the Yarrowia guilliermondii. The preservation number of the Yarrowia guilliermondii is CGMCC (China General Microbiological Culture Collection Center) No.27603, and the preservation number of the Yarrowia guilliermondii is CGMCC No.27603. The Yarrowia guilliermondii disclosed by the embodiment of the invention has a very good prevention and control effect on postharvest diseases of fruits, and the prevention and control effect of the Yarrowia guilliermondii on the diseases can be enhanced by respectively adding auxiliary factors, namely calcium chloride, alginate oligosaccharide (AOS), phytic acid (PA) and metschhia yeast. Through identification, the antagonistic bacterium is a Yeyrozyma guilliermondii, and the antagonistic bacterium is a Yeyrozyma guilliermondii. The M.guilliermonii has a good control effect on gray mold, penicilliosis, black spot and aspergillus niger of strawberry, apple, pear and tomato fruits, can be rapidly colonized on fruit wounds, and can enhance the resistance-related enzyme activity of the fruits, occupy the wound space and induce the fruit resistance to reduce the morbidity of diseases.

The invention discloses an alpine stellate microzymes HZNK494 and an application of the alpine stellate microzymes HZNK494. The saccharomyces cerevisiae HZNK494 is named as the saccharomyces cerevisiae HZNK494, and is preserved in the general microbiological culture collection center of the China Committee for Culture Collection of Microorganisms on November 8, 2023, the preservation address is No.3, No.1 yard, Beichen West Road, Chaoyang District, Beijing, and the preservation number is CGMCC No.28902. The saccharomyces cerevisiae HZNK494 is named as saccharomyces cerevisiae HZNK494. The bacterial strain is obtained by screening and identifying blueberry fruits for the first time, and after the bacterial strain is applied to a fermentation process of special berries such as blueberries, raspberries, mulberries and strawberries and a single raw material or a composite raw material of medicinal and edible resources for biological deacidification, the bacterial strain is found to be capable of effectively reducing the acidity of the fruit wine; moreover, foreign impurities which are brought by other deacidification processes and influence the quality of the fruit wine are not introduced, and the high-quality functional fruit wine which is harmonious in fragrance, taste and mouth feel can be produced.

The invention relates to a strawberry greenhouse digital twinning system based on YOLOv10 and a decision tree algorithm and a management method, and belongs to the technical field of automatic cultivation. The environment detection system comprises an air temperature and humidity sensor, a soil temperature and humidity sensor, a soil nitrogen, phosphorus and potassium content detection sensor and a camera which are arranged in a greenhouse, the camera is used for detecting the growth condition of crops, the environment detection system communicates with the switch through an RS485 bus for data transmission, and the control system comprises a PC terminal. A production control algorithm based on YOLOv10 and a decision-making tree algorithm is arranged in the PC terminal, and the decision-making tree evaluates the health state and demand of strawberry growth in real time according to multi-dimensional data such as soil temperature and humidity, air temperature and humidity, illumination intensity and the like in combination with the characteristics of the strawberry growth stage, so as to determine whether watering and fertilization are needed or not; when the fertilizer needs to be watered, the watering and fertilizing time is calculated by utilizing a designed linear weighted sum formula, so that the effect of accurate watering and fertilizing is realized.

The invention relates to a strawberry maturity detection method and system based on improved YOLO11, and belongs to the technical field of image processing. The method comprises the following steps: firstly, acquiring strawberry images, constructing a strawberry data set covering maturity of five development stages, then preprocessing the images by using data annotation, enhancement and division means, and finally detecting the maturity of strawberries in each development stage by using an improved YOLO11 model. According to the improved YOLO11 model, a C3K2 module in a backbone network is replaced by a generalized high efficiency layer aggregation network RepNCSPELAN4, dynamic up-sampling DySample is adopted in a neck network to replace UpSample, and finally, an original detection head is replaced by a four-head adaptive spatial feature fusion detection head FASSFHead. According to the method, the maturity of the strawberries at each development stage in a complex environment can be accurately and rapidly identified, and effective support is provided for automatic picking and intelligent detection of the strawberries.

The invention relates to a lightweight semantic segmentation method for strawberry flower and fruit recognition in a complex scene, and the method comprises the following steps: obtaining a data set of strawberry images, and carrying out the image collection of strawberry flowers and fruits in a scene covering different illumination, time and plant states; carrying out data processing, and carrying out classification and mask labeling on the screened strawberry images; a deep and narrow backbone network is designed, and data features of rich and complex strawberry images are obtained; introducing more attention to the boundary of the strawberry image through an edge attention mechanism guiding model to obtain a clear edge; a pyramid pooling module is introduced at a de-wharf, and global information is perceived by aggregating strawberry image features of different scales; the strawberry image is segmented through the convolutional neural network, so that strawberry image segmentation in a complex environment is dealt with, and the lightweight and accuracy of the model are improved.

The invention relates to the field of plant cultivation, and particularly discloses a lifting type high-density strawberry annual production method capable of breeding seedlings in spring and summer and fruiting in autumn and winter, which comprises the following steps: planting strawberry stock plants on a lifting type high rack after cold demand accumulation, and carrying out long-day high-temperature treatment to promote stolons to grow; cutting the seedlings formed on the stolons into a hole tray placed on a high rack in a pressure drawing manner, cultivating until the root system is robust, and cutting off the stolons; the obtained child seedlings are new seedlings, and the mother plants are old seedlings; and processing the new seedlings and the old seedlings at low temperature and short day in autumn and winter so as to enable the new seedlings and the old seedlings to bud and bear fruits in autumn and winter of the current year, and harvesting the strawberries mature in the next year. According to the method, strawberry stock plants are subjected to low-temperature refrigeration treatment before field planting, it is ensured that stolons are bred in spring and summer, plug seedlings needed by production are cultivated, meanwhile, the stock plants are kept to continue to bear fruits, tillering increase, inflorescence increase and fruit increase are promoted due to the fact that a large number of stolons grow, and the high-yield effect is achieved.

The invention relates to the technical field of gene breeding, in particular to an application of FveWRKY50 protein and a coding gene thereof in regulation and control of plant anthracnose resistance, the FveWRKY50 gene is knocked out from strawberries and overexpressed, it is verified that the strawberry FveWRKY50 gene can negatively regulate and control the anthracnose resistance, and by reducing the expression quantity of the FveWRKY50 protein in plants, the anthracnose resistance of the plants can be negatively regulated and controlled. The anthracnose resistance of plants can be effectively improved. The verification of the anthracnose resistance function of the FveWRKY50 gene provides a new gene target and resource for cultivating anthracnose resistance improving plant varieties, and lays a certain theoretical foundation for researching the anthracnose resistance responding mechanism and the adverse environment resisting molecular mechanism of plants.

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 food packaging, and provides a preparation method and application of an origanum vulgare essential oil-MOF modified alcohol-soluble protein preservative film. The preparation method comprises the following steps: mixing gamma-CD-MOF and origanum vulgare essential oil, reacting under a high-pressure reaction condition, centrifuging, washing and drying to obtain an origanum vulgare essential oil loaded MOF material; adding a plasticizer into the zein solution to prepare a membrane solution; and adding the MOF material loaded with the origanum vulgare essential oil into the film liquid, fully mixing, forming and drying to finally obtain the MOF-based food packaging film. According to the nano composite film disclosed by the invention, the water vapor barrier property, the ultraviolet barrier property and the oxidation resistance are remarkably improved. The nano composite film is applied to fresh-keeping experiments of strawberries and blueberries, so that the loss of nutritional ingredients is remarkably reduced, the shelf life of fruits is effectively prolonged, and an excellent fresh-keeping effect is shown. Compared with a traditional packaging material, the composite film provided by the invention not only is comprehensively optimized in performance, but also can provide more possibilities for a food fresh-keeping technology.