23 results about "Table grape" patented technology

A table grape detection method applied to agricultural robot picking comprises the following steps: step 1, loading data of a shot grape image data set into a model, performing mosaic data enhancement operation on an image to obtain richer data samples, and then performing subsequent feature extraction operation; 2, extracting features of the preprocessed image to generate a feature vector; 3, performing multi-scale fusion on the extracted features; step 4, performing target prediction on the multi-scale feature map output by the network and calculating a loss function; 5, judging whether the training achieves the optimal training effect or not, and carrying out a new round of iteration or outputting a model result; and step 6, performing target detection operation by using the trained model, and deleting redundant prediction frames by using a non-maximum suppression method. The method improves the recognition precision and recognition speed of table grapes in a complex scene.

The application belongs to the technical field of food safety early warning, and particularly relates to a method for predicting heavy metal content in table grapes, comprising the following steps: using a partial least squares regression method to analyze the correlation between soil physicochemical indexes and grape heavy metal content, and retaining indexes with a VIP value greater than 1 as key variables; taking the key variables as input variables and grape detection results as output to construct a random forest regression model; training the random forest regression model through repeated execution of a sampling and training process to obtain a prediction model of heavy metals in grapes; and predicting the heavy metal content in table grapes according to the generated prediction model of heavy metals in grapes.

The invention relates to the technical field of agricultural nondestructive testing, and provides a method, a system, equipment and a medium for detecting the internal quality of picked table grapes, and the method comprises the following steps: S1, collecting multi-modal data of the table grapes, and carrying out preliminary preprocessing; the multi-modal data comprises spectral data and RGB image data; s2, constructing a basic state space model, and realizing primary processing and fusion of multi-modal features; s3, improving the basic state space model, and constructing an improved state space model with closed-loop optimization; and S4, inputting the spectral data and the RGB image data into the improved state space model to obtain detection data of the internal quality of the picked table grapes. According to the scheme, the detection precision of the internal quality of the table grapes in a complex scene can be effectively improved, cross-modal fusion high efficiency and edge deployment robustness are achieved, and a technical foundation is laid for intelligent grading, postharvest quality control and automatic sorting production line application of the table grapes.

The invention discloses a transformation and cultivation process for an old table grape garden in an extreme dry-hot area, and belongs to the technical field of grape cultivation, and the transformation and cultivation process for the old table grape garden in the extreme dry-hot area comprises the steps of frame shape transformation, tree body shaping, winter pruning, flower and fruit management, pest control, water and fertilizer management and the like. By means of frame shape transformation and tree body shaping, frame binding in spring is easier to operate, pruning can be directly carried out through a machine in summer, fertilization can be directly carried out under the frame surface through a fertilizer applicator, a ditcher and other machines in autumn, and tree body shaping has the advantages of being easy to get on and get off the frame, convenient to manage, high in photosynthetic efficiency and reasonable in leaf curtain distribution, and fruits are concentrated at the positions 1.8 m away from the two sides of a ditch. New tips are evenly distributed on the frame face, the lower portion is ventilated and light-permeable, the upper portion is shaded and cooled, fruit growth is facilitated, grape diseases and insect pests are reduced, the fruit quality is improved, and the fruit quality can be improved through the scientific grape cultivation technology.

The invention discloses a brewing method of mousse special grape wine, and belongs to the technical field of food processing. The brewing method of the Musalaisi special wine comprises the following steps: mixing table grapes and wine grapes to obtain a mixed system with the acidity of 4-6.5 g / L and the sugar degree of 200-230 g / L, and crushing to obtain a crushed material; separating out self-flowing juice from the crushed material to obtain the self-flowing juice and residual fruit pulp; adding edible and medicinal auxiliary materials into the self-flowing juice to obtain a to-be-concentrated solution, and then heating and concentrating the to-be-concentrated solution to obtain concentrated juice; in the heating concentration process, feeding potassium metabisulfite; and performing fermentation treatment on the concentrated juice and the residual fruit pulp in a separated fermentation or mixed fermentation manner to obtain raw wine, and ageing to obtain the mousse special wine.

A method of phytosanitary treatment, which includes the step of administering a nematicidal composition, is disclosed. The nematicidal composition includes cinnamic aldehyde and terpene alcohol as active ingredients as a nematicide in a phytosanitary treatment, particularly in crops of banana, plantain, table and wine grapes, fruit trees, citrus plants, strawberries, and soy. Main advantages of the invention include high efficacy against nematodes, great stability over time, and the very low toxicity of the composition, both for plants and humans.

The invention provides an intelligent click-type processing device for table grape flowers and fruits. The device comprises a storage battery unit, a handle unit, a flower and fruit processing decision-making unit and a tool nose click-type flower and fruit thinning unit. During operation, according to the layout and management scheme of standard flowers and fruits of table grapes and different positions of the flowers and fruits of the grapes, a flower and fruit removal decision is determined, all tool noses are driven to click at the same time, multiple motors work independently, redundant flowers and fruits are removed after a flower and fruit treatment decision signal is received, the operation precision is high, the speed is high, and the treatment effect is good.

The invention relates to the technical field of agricultural product preservation and logistics packaging, and provides quantitative packaging suitable for table grape e-commerce logistics and application of the quantitative packaging. According to the quantitative e-commerce package, an upper paper pulp mold and a lower paper pulp mold are fixed together through convex-concave buckles, and the paper pulp molds are fixed by covering a paper pulp mold base with a viscoelastic plastic film. Fresh table grapes with a preset number are placed in the concave parts of the viscoelastic plastic films above the fruit pits of the paper pulp molds, and after the upper paper pulp mold and the lower paper pulp mold are fixed through the convex-concave buckles, the plastic films around the grapes can be elastically deformed under the top of the grapes, soft wrapping pressure is formed on the grapes, and the grapes are suspended and fixed in the middle of the fruit pits. According to the packaging structure, quantitative packaging is achieved by adjusting the number and depth of the fruit nests in the paper pulp mold and the depth of the concave part of the plastic film. The visco-elastic plastic film and the paper pulp mold form a suspension fixing system through a specific structure, the damage rate and the shattering rate of fruits in E-commerce logistics can be reduced, the market acceptability of commodities is kept, and the grape E-commerce logistics package is suitable for regions with different altitudes.

The invention provides a commercial table grape classification method based on saccharic acid content, which comprises the following steps: selecting 76 table grape varieties with higher domestic market share, measuring the contents of soluble solids, titratable acid, glucose, fructose, malic acid, citric acid and tartaric acid, and analyzing the correlation, main components and taste contribution values of the table grape varieties; hierarchical clustering analysis is carried out by using different saccharic acid types, and it is found that grape varieties can be divided into high-sugar high-acid varieties, high-sugar low-acid varieties, low-sugar high-acid varieties and low-sugar low-acid varieties only through the contents of fructose and tartaric acid, so that a simpler, more convenient and more reliable grape classification method is established. Theoretical basis and selection reference are provided for different consumer groups to select and purchase grapes from the aspects of health, taste, quality requirements and the like.

The invention relates to a table grape picking and collecting device which comprises a crawler-type moving chassis serving as a carrying platform, a control system, a picking mechanism, a collecting mechanism and a lifting mechanism, the control system, the picking mechanism, the collecting mechanism and the lifting mechanism are carried on the crawler-type moving chassis, the control system is arranged at one end of the crawler-type moving chassis, and the picking mechanism is arranged on the upper portion of a shell of the control system. The picking mechanism is used for picking and placing fruits, the collecting mechanism is arranged on the inner side of the picking mechanism and drives a corresponding fruit container to enter the placing stroke of the picking mechanism, and the lifting mechanism is arranged on one side of the collecting mechanism and used for lifting the fruit container to the collecting mechanism. According to the device, fresh grape bunches can be automatically picked and collected in the orchard environment, the double picking mechanical arms are adopted, the picking mechanical arms are matched with the collecting device, automatic updating of a grape bunch collecting container after picking is achieved, long-time continuous picking is achieved, and the picking efficiency is greatly improved.

The invention discloses a table grape shed frame horizontal leaf curtain new shoot mechanical pruning device, and belongs to the technical field of agricultural planting, the table grape shed frame horizontal leaf curtain new shoot mechanical pruning device comprises two transverse guide rails arranged in parallel, a sliding block is slidably connected in the transverse guide rails, the top surface of the sliding block is in transmission connection with a pruning mechanism, and multiple groups of longitudinal guide rails are fixedly connected between the two transverse guide rails at equal intervals; the trimming mechanism comprises a first connecting base in transmission connection with the sliding block, a first cavity is formed in the first connecting base, a trimming part is arranged in the first cavity, wheel sets are installed on the two sides of the first connecting base respectively, a first sliding groove is formed in the longitudinal guide rail, a second sliding groove is formed in the side, close to the longitudinal guide rail, of the transverse guide rail, and a driving part is arranged in the first connecting base. The transverse guide rail and longitudinal rail system breaks through the movement limitation of a steel wire mesh on the mechanical arm, full-coverage operation of equipment under complex steel wire layout is achieved, the coverage range is effectively widened, and the problem that traditional equipment cannot conduct cross-column operation is solved.

The application discloses a kind of fresh grape variety recommendation method, system, equipment and storage medium based on knowledge graph belonging to intelligent recommendation technical field.It includes the following steps: collecting the attribute and variety preference data of fresh grape customer consumption behavior;According to attribute and variety, the knowledge graph of fresh grape field is constructed;According to the knowledge graph, the fresh grape customer variety recommendation model is established;The fresh grape customer variety recommendation model is trained, and the variety recommendation list of fresh grape customer is generated.The application solves the problem of over-smoothing and gradient vanishing that easily occurs in deep propagation of graph neural network, can prevent important information loss, and significantly improves the accuracy of fresh grape recommendation result.

The invention belongs to the technical field of gene engineering, and discloses an application of a grape VvPMEI8 gene in delaying fruit softening, and the CDS sequence of the grape VvPMEI8 gene is as shown in SEQ ID NO. 1. The molecular mechanism of grape fruit softening is clarified from the molecular level, a direction is provided for breeding storage and transportation-resistant grape varieties, the shelf life of table grapes is prolonged, loss is reduced for farmers, and healthy development of the grape industry is promoted.

A new distinct variety of grapevine named ‘ARD48’ abundantly forms attractive crunchy and juicy seedless berries with a yellow-green skin coloration, lax large clusters which display a naturally sweet flavor, the fruit is commonly ready for harvesting during July in San Joaquin Valley of Central California, U.S.A., and displays good eating qualities as a table grape, the fruit firmness renders the fruit well amenable for handling, shipping, and storage.

The application provides a double-bag fresh grape packaging and grading device control system, which comprises a rack, a discharging device, a transparent bag packaging device, a paper bag packaging device, a binding device and a weighing and grading device. The discharging device can complete the storage and discharging movement of fresh grapes. The transparent bag packaging device and the paper bag packaging device can complete the packaging of fresh grapes in transparent bags and paper bags respectively by using existing packaging bags, and the whole packaging work can be completed in one station, thereby reducing the size of the whole machine. The binding device can bind the packaged fresh grapes with gold silk, thereby completing the whole process of fresh grape packaging. The weighing and grading device can complete the weighing and grading of fresh grapes simultaneously. The application can be used for the packaging and grading of various fresh grapes, has the advantages of convenience, rapidness and high automation, fills the gap of such machines in the market, and is beneficial to promoting the development of the fresh grape industry.

According to the self-propelled multi-arm multi-tooth flower and fruit thinning robot for the table grapes, each group of cooperative mechanical arms of a system are independently arranged through a common shaft structure, an electric cylinder module and a lead screw sliding block module are configured, and multi-degree-of-freedom positioning control over an end effector is achieved. The tail end executor is provided with a flexible sparse finger and is combined with a control system, self-adaptive clamping distance adjustment can be achieved, the operation action simulates manual operation, the operation quality is reliable, and damage to clusters is small. A depth camera is combined with a deep learning algorithm to carry out cluster identification and positioning, and an operation point is determined through space coordinate solution. The control system can achieve area distribution, path planning and dynamic obstacle avoidance among multiple mechanical arms, and work procedures are coordinated through a multi-thread communication mechanism. The whole machine has the functions of automatic navigation, self-adaptive lifting, accurate ear recognition, multi-arm collaborative operation and the like, the operation efficiency is remarkably improved, the labor cost is reduced, and the application and popularization prospects are good.

A kind of fresh grape detection method applied to agricultural robot picking, comprising the following steps: step 1, the data of the grape image data set photographed is loaded into model, image is subjected to mosaic data enhancement operation, more abundant data sample is obtained, subsequent feature extraction operation is carried out again;Step 2, the features of the preprocessed image are extracted to generate a feature vector;Step 3, the extracted features are fused in multiple scales;Step 4, the multi-scale feature maps output by the network are used to predict targets and calculate loss functions;Step 5, determine whether the training has reached the optimal training effect, perform a new round of iteration or output the model result;Step 6, use the trained model to perform target detection operations, and use the non-maximum suppression method to delete redundant prediction boxes.The present application improves the recognition accuracy and speed of fresh grapes in complex scenes.

The invention provides a deep learning model-based table grape harvesting opportunity prediction system and method, the system comprises a hyperspectral image shooting device, a data acquisition device, a controller and a data processor, the hyperspectral image shooting device is used for acquiring hyperspectral image information of table grapes in different mature periods; the data acquisition device is used for acquiring physical and chemical index data of the maturity of the table grapes in different maturity periods; the controller is used for controlling the hyperspectral image shooting device and storing data acquired in the execution process of the hyperspectral image shooting device and the data acquisition device in a memory of the controller; and the data processor is used for processing the data in the memory. According to the method, the accuracy of maturity index regression prediction is improved, and the harvesting opportunity can be determined more accurately and reasonably.

For wine grapes, pruning and shaping account for one-third of the total working time, and there are significant differences between peak and off-peak seasons, making it a challenge to secure peak labor. For table grapes (especially large-berry varieties), cluster formation and harvesting account for more than half of the total working time, requiring workers to keep their arms raised, resulting in poor work efficiency and the need to constantly look upwards. This invention provides a grape pruning method that improves work efficiency. [Solution] Multiple support posts are erected in the direction of the furrow, and the tops of each are connected with horizontal downpipes. A V-shaped corrugated roof rain cover is installed so that rainwater flows into it. A rain cover is created by connecting the ground side of the bottom of the corrugated roof to the horizontal downpipes at regular intervals with wires in the direction of the furrow. Seedlings are planted directly below the valleys of the V-shaped roof. The growing shoots are extended in a straight line in the direction of the furrow directly below the horizontal downpipes to become the main branches. When new shoots sprout from both sides, the grapes will try to grow upwards due to their nature and will hit the corrugated roof. However, if they try to grow further they will reach the nearest ridge, and thereafter they will be pruned autonomously along the ridge.

The invention belongs to the technical field of food safety early warning, and particularly relates to a method for predicting the content of phthalate in table grapes. Comprising the following steps: detecting a plurality of physicochemical indexes of soil and the phthalate content of grapes to obtain an acquisition data set, the plurality of physicochemical indexes being pH, organic matters, cation exchange capacity, total nitrogen and the phthalate content; dividing the collected data set into a test set and a training set; training the basic random forest model to obtain a first prediction model for predicting grapes through the plurality of physicochemical indexes; and analyzing the importance of the plurality of physicochemical indexes, determining a new feature subset, and training the first prediction model by using the feature subset as input to obtain a final prediction model. By analyzing the PAEs content and physicochemical properties in the grape rhizosphere soil, the PAEs content of the grape fruits can be predicted, and technical support is provided for grape quality safety monitoring and risk prevention and control.

The application discloses a reagent, a method and application for reducing the astringency of grape fruits, wherein the reagent comprises strigolactone, brassinolide and melatonin. It is found that strigolactone can significantly reduce the astringency of grape fruits at a concentration of 1-3 μmol / L, with a maximum reduction of 50.59%, and does not affect the coloring of the fruits; low-concentration brassinolide (0.1-0.6 mg / L) can reduce the astringency while increasing the contents of total phenols and anthocyanins, and synergistically promote the coloring; and melatonin has astringency-reducing effect at a concentration of 5-50 μmol / L. Transcriptome analysis shows that strigolactone blocks tannin synthesis by inhibiting the expression of DFR and CCR genes, and brassinolide remodels the metabolic flow to the anthocyanin branch through BZR1. The application provides an efficient and safe technical means for the precise improvement of the flavor quality of table grapes.

The invention provides a double-bag type table grape packaging and grading device control system. The double-bag type table grape packaging and grading device control system comprises a rack, a discharging device, a transparent bag packaging device, a paper bag packaging device, a tying device and a weighing and grading device. The discharging device can complete storage and discharging movement of table grapes, the transparent bag packaging device and the paper bag packaging device can complete packaging work of table grape transparent bags and paper bags through existing packaging bags respectively, the whole packaging work can be completed on one station, the size of the whole machine is reduced, and the packaging efficiency is improved. The tying device can conduct gold wire tying on the packaged table grapes, so that the whole process of packaging the table grapes is completed, and the weighing and grading device can complete the two processes of weighing and grading the table grapes at the same time. The table grape packaging and grading machine can be used for packaging and grading various table grapes, has the advantages of convenience, rapidness, high automation degree and the like, fills the blank of the machine in the market, and is beneficial to promoting the development of the table grape industry.

A new distinct variety of grapevine named ‘ARD47’ abundantly forms attractive crunchy seedless berries with a yellow-green skin coloration of medium density and large clusters which display a labrusca flavor, and is commonly ready for harvesting during July-August in San Joaquin Valley of Central California, U.S.A, and displays good eating qualities as a table grape, the fruit firmness renders the fruit well amenable for handling, shipping, and storage.