906 results about "Fragaria" patented technology

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 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 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 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 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 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 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 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 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.

The invention discloses a strawberry fruit detection system and method based on an improved YOLOv8n network, and the structure of the improved YOLOv8n network comprises a backbone network, a neck network and a prediction head network which are connected in sequence, a receptive field attention convolution module is adopted in the backbone network to replace standard convolution, the network performance is improved, and the detection efficiency is improved. The detection performance in strawberry fruit detection is obviously improved; meanwhile, the learning ability of the backbone network on strawberry color and shape features is enhanced by introducing the extrusion excitation network, and meanwhile, the requirements of classification and regression tasks are better adapted by optimizing the decoupling head design of the YOLOv8, so that the interference possibly brought by parameter sharing is avoided, and the precision and generalization ability of the model are improved. And the multi-scale parallel convolution cross-stage double-convolution feature fusion module maintains a large receptive field while reducing the memory access cost, reduces the calculation cost, improves the efficiency, and solves the bottleneck problem of a traditional model in speed and performance.

The invention discloses a compound microbial organic fertilizer and a preparation method thereof, and belongs to the technical field of compound microbial organic fertilizers. The compound microbial organic fertilizer is prepared from the following raw materials in parts by weight: 8-12 parts of a microbial agent, 30-35 parts of livestock and poultry manure, 20-25 parts of crop straws, 10-15 parts of humic acid, 10-12 parts of bagasse carbon, 3-5 parts of rumen bypass fat powder, 3-5 parts of molasses and 1-3 parts of chitosan oligosaccharide. According to the compound microbial organic fertilizer, the nitrogen-fixing pseudomonas, the streptomyces elongisporus and the paenibacillus polymyxa are selected to be compounded, and the three strains comprehensively promote root development, nutrient absorption and stress resistance of strawberry plants through the synergistic effect of nitrogen fixation, nutrient activation, hormone secretion and disease inhibition. The compound microbial organic fertilizer can effectively promote growth of strawberry plants, improve the quality of strawberries, increase the yield, reduce chemical fertilizer and pesticide residues, reduce the risk of soil pollution and meet the requirements of consumers for safe and organic strawberries.

The invention discloses an intelligent adjusting device for strawberry garden irrigation, and relates to the technical field of agricultural irrigation, the device comprises a data sensing module, a main control module, a man-machine interaction module and an execution module; the data sensing module is used for collecting soil moisture content, planting environment data and strawberry growth stage data in real time; the main control module is used for receiving the sensing data, generating a dynamic irrigation decision according to an irrigation analysis model, and sending an irrigation decision control signal to the execution module; the man-machine interaction module is used for acquiring strawberry planting parameter information input by a user, querying soil and environment monitoring data and irrigation state information, and performing remote interaction; and the execution module is used for controlling the electromagnetic valve array to independently irrigate according to the strawberry planting ridges according to the irrigation decision control signal. Water resource waste of a traditional irrigation mode is avoided, accurate irrigation is conducted according to the soil humidity and the strawberry growth stage, the water resource utilization rate is increased, and automation of the irrigation process is achieved.

The invention belongs to the technical field of agricultural microorganisms, and discloses a bacillus flexus strain BJ699 and application thereof in strawberry production. Specifically, the invention provides a novel bacillus flexus strain BJ699, and the preservation number of the strain BJ699 in the China Center for Type Culture Collection is CCTCC (China Center for Type Culture Collection) NO: M20252013. The invention also provides a microbial agent containing the strain BJ699 as an active component and application of the strain BJ699 in preparation of a microbial agent for prevention and control of strawberry root rot pathogenic bacteria and / or degradation of pyraclostrobin. The new strain or the microbial agent containing the strain comes from the natural environment, has no cross resistance to existing bactericides and insecticides, has the advantages of high efficiency, low toxicity, no environmental pollution, low possibility of drug resistance generation and the like, and has a wide application prospect.

The invention relates to the technical field of organic fertilizers, in particular to an alginic acid organic fertilizer and a preparation method thereof.The alginic acid organic fertilizer is prepared from 450-550 g / L of seaweed extract, 80-110 g / L of free amino acid, 80-110 g / L of nitrogen (N), 80-110 g / L of phosphorus (P2O5), 80-110 g / L of potassium (K2O), 40-60 g / L of microbial agent and microelements, and the alginic acid organic fertilizer can effectively improve the yield and quality of strawberries. According to the preparation method, complex instruments and equipment and special reaction conditions are not needed in the preparation process of the alginic acid organic fertilizer, large-scale production is easy, the production cost is reduced, the production efficiency is improved, and popularization and application of the product in the market are facilitated.

The invention relates to an improved YOLOv8-based strawberry picking maturity detection method and system. The method comprises the following steps: acquiring an image data sample of strawberries in a greenhouse; performing maturity detection on the to-be-detected strawberry image based on an improved YOLOv8 model to obtain a strawberry maturity detection result; wherein the improved YOLOv8 model completes training through a training set and a verification set, and data of the training set and the verification set are strawberry image sets marked with maturity. According to the method, an Efficient ViT backbone network in an improved YOLOv8 model is used for respectively carrying out attention calculation in different groups, so that feature information of finer granularity of strawberries can be captured; meanwhile, a spatial pyramid pooling module in the model can extract and fuse features of different scales, and target detection and positioning are carried out by using the multi-scale features in the detection process. According to the method, the accuracy of identifying the strawberry picking maturity by the target detection model in an actual scene can be improved.

The invention belongs to the field of comprehensive utilization of palm leaves, and particularly relates to a natural preservative containing palm leaf extract as well as a preparation method and application of the natural preservative. According to the natural preservative disclosed by the invention, sunflower discs, betel nut leaves, mint leaves, oil-tea cakes and barley are added into lactobacillus plantarum to prepare fermentation liquor, the fermentation liquor is sterilized, and then palm leaf extract and purslane extract are added, so that the antibacterial rate on mango colletotrichum gloeosporioides, litchi fruit colletotrichum gloeosporioides and strawberry colletotrichum gloeosporioides can be remarkably increased; the preservative can effectively prevent fruits from decaying and deterioration, can effectively prolong the storage life of fruits when being used for preservation and fresh keeping of fruits, has small toxic and side effects, and greatly improves the safety.

The invention belongs to the field of microorganisms, and particularly relates to trichoderma longibrachiatum CM5J-9 capable of efficiently antagonizing strawberry diseases as well as a screening method and application of the trichoderma longibrachiatum CM5J-9. The preservation number of the trichoderma longibrachiatum CM5J-9 is CGMCC (China General Microbiological Culture Collection Center) NO.41989, the trichoderma longibrachiatum CM5J-9 is preserved in the China General Microbiological Culture Collection Center on May 30, 2025, and the trichoderma longibrachiatum CM5J-9 is classified and named as trichoderma longibrachiatum. The trichoderma longibrachiatum CM5J-9 screened by the invention has a remarkable antagonistic effect on main pathogenic bacteria of strawberry continuous cropping planting soil, and has a remarkable prevention and treatment effect on strawberry related diseases caused by the main pathogenic bacteria. The trichoderma longibrachiatum CM5J-9 provided by the invention is separated from strawberry continuous cropping soil, has good environmental adaptability and disease prevention effect, is large in sporulation quantity, and has great application potential.

The invention relates to the technical field of food, in particular to antioxidant nutritional fruit juice and a preparation method thereof. The method comprises the following steps: S1, crushing pulp of pomegranates, blueberries, strawberries, cherries, broccoli, purple cabbages and carrots, adding a functional compound for enzymolysis, and after enzymolysis is finished, performing enzyme deactivation to obtain pretreated fruit juice; and S2, filtering the pretreated fruit juice, and degassing to obtain the antioxidant nutritional fruit juice. The antioxidant nutritional fruit juice provided by the invention can retain the original nutritional ingredients, taste and color to the greatest extent, and fruits and vegetables rich in antioxidant polyphenol substances can give full play to the effects of the fruit juice.

The utility model discloses an irrigation device for strawberry planting, and relates to the technical field of irrigation for strawberries, the irrigation device comprises a supporting pipe, and is characterized in that a fixed seat is arranged above the supporting pipe, a telescopic water pipe is installed in the supporting pipe, the telescopic water pipe is connected with the interior of the supporting pipe in an inserted mode, and the fixed seat is connected with the telescopic water pipe. A rotating seat is arranged at the top of the telescopic water pipe, an irrigation assembly is installed at the top of the rotating seat and rotationally connected with the rotating seat, an irrigation seat is arranged on the irrigation assembly, irrigation pipes are arranged on the periphery of the irrigation seat, the number of the irrigation pipes is four, and a supporting seat is arranged at the bottom of the supporting pipe. Connecting water pipes are installed on the periphery of the bottom of the supporting pipe, a pressure pump is installed in the irrigation base, and a conveying pipe is arranged on the irrigation pipe. According to the scheme, the problems that in the prior art, an irrigation device is large in size, manual displacement pushing is needed, and therefore the operation efficiency and practicability of the irrigation device are affected are solved.

The invention provides a strawberry picking robot visual identification and flexible grabbing system, the strawberry picking robot visual identification and flexible grabbing system comprises a machine body, the machine body is provided with a visual positioning system, a flexible grabbing end effector and a control system, the visual positioning system comprises a far-field camera and a near-field camera, and the near-field camera is connected with the flexible grabbing end effector. The far-field camera is arranged at the top of the machine body, and the near-field camera is arranged on the flexible grabbing end effector; the flexible grabbing end effector comprises a suction cup used for sucking strawberries; the pneumatic claw is used for clamping fruit stems of strawberries; and the cutting module is used for cutting fruit stems of the strawberries. According to the technical scheme, the problems that in the prior art, the recognition precision is low, the grabbing damage rate is high, and the flexibility of a mechanical arm is insufficient are solved.

The invention discloses a strawberry and grape fresh-keeping composite coating film, a preparation method and application, the fresh-keeping composite coating film mainly comprises chitosan, oxidized starch, phytic acid and carvacrol, the rotting rate of strawberries and grapes is reduced, the chromaticity and hardness of the strawberries and the grapes are maintained, the aging of the strawberries and the grapes is delayed, and the fresh-keeping effect of the strawberries and the grapes is improved. The growth of rot-causing fungi alternaria alternata and Penicillium Orsenii in strawberries and grapes is inhibited, the quality of strawberry and grape fruits can be maintained, and the storage period of the strawberries and the grapes can be prolonged.

The invention relates to an application of a FaPDHE1alpha gene or an encoding protein thereof in prevention and control of strawberry gray mold, and belongs to the field of plant genetic engineering and the field of prevention and control of postharvest diseases of fruits and vegetables. The invention discloses a key positive regulation and control effect of FaPDHE1alpha in regulation and control of strawberry gray mold resistance. By constructing a 35S:: FaPDHE1alpha overexpression vector and a FaPDHE1alpha RNAi interference vector, according to transient gene overexpression and RNA interference silencing tests, it is verified that high expression of the FaPDHE1alpha gene can obviously enhance the resistance of strawberry fruits to botrytis cinerea, and silencing of the gene causes reduction of the disease resistance of the fruits. Mechanism studies show that after the FaPDHE1alpha gene is activated, mitochondrial energy metabolism and controlled ROS signal generation are promoted, antioxidant enzyme activity is enhanced, and defense related gene expression is induced, so that the disease resistance of fruits is improved. By means of functional genomics, the key function of the FaPDHE1alpha gene in prevention and control of gray mold after strawberry harvest is illuminated for the first time, and the FaPDHE1alpha gene can be used for screening disease-resistant breeding materials or developing biological prevention and control preparations for postharvest diseases and has important application value.