226 results about "Growth data" patented technology

The invention belongs to the technical field of agriculture Internet-of-things, in particular to a potato planting Internet-of-things monitoring, control and information service cloud platform integrated system. The system mainly comprises an environmental monitoring terminal, an irrigator controller, a growth picture collector, an Internet-of-things intelligent control all-in-one machine, an Internet-of-things information service cloud platform, the Internet and customer terminal equipment. The potato planting Internet-of-things monitoring, control and information service cloud platform integrated system can receive planting monitoring information in real time, and carry out security data storage, equipment control and massive data cloud computing drawing; for massive potato growth environmental data, the cloud computing capacity and an optimization algorithm of a cloud platform are used for rapidly generating a potato growth data statistical table, and the decision basis is provided for the amount and quality of purchase of a purchaser; collected pictures of the process from planting to harvesting of potatoes are analyzed through a pattern recognition technology, and the seedling hardening period and the blossom period are marked; an on-site irrigation and fertilization system can be manually or automatically controlled remotely, a planting environment is adjusted in time, loss is reduced, and yield is increased.

The invention relates to the fields of image processing technology, the sensor technology and the water-saving irrigation, disclosing a crop irrigation system combined with computer vision and multi-sensor, wherein the technology adopted by the invention is non-destructive crop water-lacking detection combined with computer vision and multi-sensor; the system comprises the steps of obtaining and dividing a crop image, and extracting characteristic parameters; computing the characteristic parameters according to a growth data model; and then combining sensor data of a soil water potential sensor, a temperature and humidity sensor and the like, finally, finishing judgment by a genetic neural network, and controlling a single chip to drive an electromagnetic valve according to a judgment result to finish crop irrigation. The system can obtain water requirement information of crops immediately, achieve accurate irrigation immediately, and improve the utilization rate of water resource. The system has good practicability and can be applied to crop plantation areas such as a greenhouse, a farmland, a nursery garden and the like.

A hardware / software system is provided for allocating memory in the form of a buffer zone surrounding a data packet to be stored in the memory. The hardware / software system comprises, first and second registers for storing separate values representing in one register, an amount of memory preceding the first line of the data packet to be stored and in the other the amount succeeding the last line of the packet to be stored, a hardware mechanism for allocating the memory according to computational results computed using the register values and the size of a data packet to be stored, and software for processing stored data packet and for writing any new growth data into the designated buffer zones surrounding the data packet.

The invention discloses a management system and method of intelligent livestock breeding. An intelligent fodder feeding module in the system is used for detecting real-time edible condition of materials of livestock in real time and supplying fodders of predicted fodder put volume according to livestock individual growth data, the number of feeders is reduced, the breeding cost is controlled, thescientific nature, standardization and degree of automation of the livestock breeding are improved; an intelligent environment control module collects environmental parameters in a breeding environment, and the livestock breeding environmental parameters are adjusted in the most suitable growth range; a disease monitoring module monitors the disease condition of the livestock to reduce the epidemic situation infection probability of the livestock; a growing prediction module predicts the growth tendency and best slaughter time of the livestock according to the individual growth data; a qualitytraceability module records, stores and inquires the breeding information in the livestock breeding process; and the intelligent management of the livestock breeding is realized together, and the purposes that the number of the feeders is reduced, the breeding period is shortened, the breeding cost is controlled and the livestock breeding is scientific and standard are achieved.

A hardware / software system is provided for allocating memory in the form of a buffer zone surrounding a data packet to be stored in the memory. The hardware / software system comprises, first and second registers for storing separate values representing in one register, an amount of memory preceding the first line of the data packet to be stored and in the other the amount succeeding the last line of the packet to be stored, a hardware mechanism for allocating the memory according to computational results computed using the register values and the size of a data packet to be stored, and software for processing stored data packet and for writing any new growth data into the designated buffer zones surrounding the data packet.

Embodiments of the invention provide an electronic red envelope sending method, apparatus and client. The electronic red envelope sending method includes the steps: acquiring the user characteristic information of a target user; inputting the user characteristic information of the target user into a marketing value rank identification model to train to obtain a marketing value rank which can identify the marketing cost data and the transaction growth data; based on the marketing value rank, determining the sum of the electronic red envelope of the target user; and sending the electronic red envelope with the sum to the target user.

Provided is a method and apparatus for teaching biology by using a virtual plant or a virtual animal. The method is displayed on a display of a computer and includes collecting growth data of an actual living organism according to different environmental conditions at a predetermined time interval and storing the collected growth data; obtaining a growth equation for each of the environmental conditions based on the growth data; designing a growth animation of the virtual living organism for each of the environmental conditions based on the growth equation; and controlling a control panel screen to fetch the growth data and the growth animation and to display a change in growth of the virtual living organism when a user inputs environmental conditions of the virtual living organism on the control panel screen, to thereby provide high practicality and high educational effects.

The invention provides a fish body growth character fast measuring device and a measuring method, and belongs to the field of aquaculture devices. When the device is used for measuring fish bodies, only few steps are needed. Besides, collecting of growth characters of one fish body can be finished in a short time, repeated contact with the fish body can be prevented, and stress responses caused by data collecting are reduced. A support on a measuring table of the device guarantees that a camera is kept to be fixed on the same height during growth data collecting of the fish bodies. Meanwhile, the face of the measuring table and a lens of the camera are provided with table face scales and lens scales respectively to guarantee that the camera is basically vertical to the fish bodies to be measured, and measuring errors are reduced.

The invention discloses a wisdom breeding management system, which belongs to the field of animal husbandry breeding and is used for solving the problems of low production efficiency and high manpower cost of existing animal husbandry breeding. The system comprises collection of basic data in an initial stage of lairage, collection of dynamic data in a middle stage of lairage, and tracing of a growth process in a later stage of marketing; the collection of the basic data in the initial stage of lairage comprises cooperative use of electronic ear plates and an RFID card reader, and animal lairage basic information storage; the collection of the dynamic data in the middle stage of lairage comprises environmental data storage, breeding production activity data storage and growth data storage; the tracing of the growth process in the later stage of marketing comprises animal marketing basic information storage and provision of a reverse tracing data interface; the lairage and marketing data is collected by depending on an automatic weight calculation channel; and the data in the middle stage of lairage is collected by depending on a weight monitoring machine. The data is collected through the weight monitoring machine adopting a mean value method; and a breeding scheme is optimized by comparing the data, so that the production efficiency is improved and the manpower cost is reduced.

The invention provides a crop field information collection device and method. The crop field information collection device comprises an acquisition platform, an information acquisition component and atrack chassis component. The track chassis assembly is provided with an electric lead screw lifting rod, a lead screw in the electric lead screw lifting rod is connected with the bottom of the acquisition platform, the information acquisition component is used for collecting and storing field growth data of target crops, an obstacle image acquisition device is installed on the front portion of the acquisition platform, and the obstacle image acquisition device and the electric lead screw lifting rod are electrically connected with a control unit separately. According to the crop field information collection device and method, through installing the information acquisition component of the target crops in the walkable track chassis component and a liftable acquisition platform, the information acquisition component is driven to move forward and can further adaptively adjust according to height images of the target crops to realize automatic and continuous collection of the field growthinformation of the target crops, and fast and accurate data for the fine management of field crops are provided.

The present invention discloses a sensor network-based agricultural product quality traceability system. The system is characterized by comprising a sensor network, a sensor gateway, an internet gateway, a cloud platform, a big data platform and a user terminal. The sensor network is configured to capture the growth data and the environment data of agricultural products during the growth process. The sensor network, the sensor gateway, the internet gateway, the cloud platform and the big data platform are sequentially connected for data transmission. The user terminal is configured to perform the traceability query for the growth data. According to the invention, the accuracy of data is enhanced, and the traceability tracking of products is realized. Meanwhile, the quality of products can be known simply and intuitively.

The invention relates to an aircraft structure fatigue reliability degree Bayesian combination forecasting method, relating to combination forecasting. The method comprises the steps of data obtaining, modeling, model combination and reliability degree forecasting. By fully utilizing the advantage of Bayesian combination forecasting, the aircraft structure fatigue reliability degree information obtained by using the provided method is more accurate, and the accuracy is higher. Based on the Bayesian combination forecasting, a factor that the structure fatigue crack growth of an aircraft in the service stage is fully considered, the obtained aircraft structure fatigue crack growth data are utilized, and the result of the Bayesian combination forecasting is characterized by high accuracy and precision.

The invention discloses a plant cultivating method and device and aims to reduce operation of users and help the users scientifically cultivate plants. The plant cultivating method includes acquiring relevant growth data of the plants; determining cultivation reference information used for helping the users cultivate the plants according to the relative growth data of the plants and preset plant cultivation data. By the plant cultivating method and device, operation of the users is reduced, and the users are assisted in scientific plant cultivation.

The invention provides an online course recommendation method and device, computer equipment and a storage medium. The method comprises the steps of obtaining basic feature data of a user, wherein thebasic feature data comprises user attribute data, user behavior data, user growth data and user access data; determining an interest feature descriptor of the user according to the basic feature data; determining a to-be-recommended interest point model corresponding to the basic feature data; and determining an interested course recommendation list of the user according to the to-be-recommendedinterest point model and the interest feature descriptor. By adopting the method provided by the invention, the defects that the learning direction of the user is not clear and the learning ability range is not known due to the adoption of a universal course learning scheme or a plurality of fixed course learning schemes in the prior art can be avoided; and the blindness of online learning of theuser is effectively avoided, so that the pertinence and accuracy of online course recommendation are also effectively improved.

The invention discloses an intelligent agricultural greenhouse management system. The intelligent agricultural greenhouse management system comprises a cloud data module, a growth detection module, aninformation feedback module, a comparison module, a differential fertilizer applying module, a water supplementing module, an illumination adjusting module, a disease and pest detection module, an intelligent control module, a display module, an analysis module and a power source module, wherein the comparison module is used for comparing the growth data of the existing planting crops and the growth data of the same crops in the previous years at the same period in real time; the analysis module is used for comparing and analyzing the growth condition of each plant of the existing planting crops, and performing integral analysis on the same crops planted in different greenhouses at the same period. The intelligent agricultural greenhouse management system has the advantages that by real-time detection of collecting the growth information of the crops, and comparing the growth data, the growth condition of the crops can be judged; by intelligently controlling and adjusting the fertilizer and light of the single crop, the crops can grow within the standard range under the condition of enough water, so as to provide the crops meeting the body requirements for the life of people.

The invention discloses a global crop growth monitoring and query system and a global crop growth monitoring and query method. The system comprises a data processing module, a data analysis module and a data storage module. The data processing module is used for processing acquired remote sensing data of global crop growth and storing processing results in the data storage module. The data analysis module is used for finding data of a specific area from the data storage module, analyzing the data, and storing analysis results in the data storage module. The global crop growth monitoring and query system and the query system and a global crop growth monitoring and query method have the advantages that growth data of global crops can be acquired periodically, no limitation is applied to acquisition areas, data can be upgraded periodically, and users can, accordingly, acquire growth information of crops timely and accurately.

The invention relates to a breeding method of a portunus trituberculatus rapid-growth novel variety, and relates to the technical field of portunid breeding. The method comprises the steps of parent crab selection, indoor copulation, indoor overwintering, reinforcement culturing, larval rearing, family group establishment, and copulation program development. According to the invention, parent crabs are bred artificially, and measures such as gradient temperature and family group establishment are taken. With the method, portunus trituberculatus synchronous reproduction and growth data precise evaluation are preliminarily realized.

The invention provides an agricultural planting auxiliary robot and an automatic operation method thereof. The robot is in communication connection with a client end and comprises a vehicle body (3),a front end driving mechanism (1) and a rear end driving mechanism (2) for driving the vehicle body, an anti-collision module (5), a high-definition video monitoring and illuminating module (6), a front visual navigation module (7) and a rear visual navigation module (8) arranged on the vehicle body, and a central processing module and a solid battery arranged in the vehicle body. In the robot andthe operation method, the growth process of crops after sowing, such as the growth data index, the environmental data index, the water irrigation situation, the fertilization situation, the situationof whether medication is needed, the disease and insect pest identification, the weed identification and other information, can be collected, recorded, analyzed and judged and water or fertilizer ormedication measures and actions are automatically adopted, and the intelligent automatic management, intelligent delivery and intelligent information acquisition can be realized on the growth of crops, which is suitable for agricultural fine planting.

The invention discloses a crop growth model selection method and device based on a neural network, characterized in that a current crop growth model is simulated from the perspective of machine learning, and a comprehensive model library of crops is constructed, so that because of that there is no growth model for the current crop, the crop growth process data can be obtained after trial planting.According to the present invention, a most matched growth model is obtained through simulation verification of the model library; a machine learning library based on a crop growth model is realized by combining a neural network technology; and finally, a neural network is used to predict which model most accords with agricultural production requirements, so that the growth data of the crops withsmall planting areas and relatively weak planting benefits or other plants without appropriate growth models are generated, and the growth models generate the simulated planting data for soilless culture, greenhouse cultivation and intelligent agriculture as agricultural informationized and automatic data sources and can provide data reference for farmers to plant.

The invention provides a power grid icing growth trend forecasting method based on a digital elevation model. The method includes the following steps of firstly, setting up a power grid comprehensive geographic information platform; secondly, collecting data of the weather forecast at each time level; thirdly, obtaining a coordinate of each grid point; fourthly, correcting temperature data; fifthly, calculating the icing increment; sixthly, saving the icing increment into a file in the grid point mode; seventhly, repeating the fourth step, the fifth step and the sixth step; eighthly, drawing an icing growth distribution diagram at each time level; ninthly, marking icing growth data of an electric transmission line. The method has the advantages that the power grid icing conditions at multiple time levels can be forecasted, the operability is strong, the accuracy of forecasting of the power grid icing trend is high, the deicing work of the electric transmission line can be powerfully guided, and the method plays an extremely important and absolutely necessary role in keeping a power grid to be safe and stable and reducing ice damage losses.

The invention relates to the technical field of video monitoring, and in particular relates to a system and a method for automatically collecting plant growth information. The system for automatically collecting the plant growth information comprises a monitoring device, a video data study training device and an information display device connected in sequence, wherein the monitoring device is used for shooting a growth video of a plant to be detected; the video data study training device is used for regularly acquiring a frame image in the growth video, processing the acquired image, analyzing and computing the growth data of the plant to be detected at each time point, and computing a growth rate of the plant within a time period according to the growth data of any two adjacent time points; and the information display device is used for displaying the computation result of the video study training device. The system can automatically complete the information collection and computation of the plant to be detected, the burden of researchers is greatly reduced, and the computation result is relatively accurate.

The invention provides a method and terminal for recommending game props. The method includes the steps that the total win rates of current players and characters used by the players are acquired; corresponding player groups are matched according to the overall win rates of the players, and corresponding level growth data of players using characters in the player groups and having win rates higherthan a preset win rate is acquired to obtain a level growth data set, wherein the level growth data includes prop purchase data of each level of the characters; the levels of the characters used by the current players are acquired, and props corresponding to the levels of the characters used by the current players are recommended according to the level growth data set. The proper props can be recommended according to the win rates of the current players and the levels of the characters used by the players, and the game experience of the players is improved; when the win rates of the players change, the players can be switched into the corresponding player groups and the corresponding props are recommended, so that the players quickly adapt to a new game battle environment, and the flexibility of prop recommendation is improved.

The invention discloses a fish welfare intelligent culture system and method for a circulating water culture mode. The system mainly comprise a multi-compartment culture pond, a growth data acquisition channel, a health state evaluation channel, an automatic grading device and the like. The system mainly relies on an artificial intelligence technology, utilizes the growth data acquisition channeland the health state evaluation channel to respectively quantify the size specification and the health states of cultured objects, separates the cultured objects with different size specifications anddifferent health states into different compartments of the culture pond by combining with an automatic pond separation device, so that welfare culture is achieved. The system is novel in structure, simple in principle and suitable for the circulating water culture mode. By adopting the system and the method, the problems of nondestructive collection of growth data, nondestructive evaluation of health states and grading in an existing circulating water culture system can be effectively solved.

A geographic information system comprises an operation area management platform, an operation log management module and an operation module, wherein the operation area management platform is used for dividing an operation area on an electronic map corresponding to a crop planting area; and the operation log management module is used for acquiring environmental data and growth data of the crop planting area. The operation module is used for receiving the environmental data and the growth data sent by the operation log management module, performing analytical calculation according to the environmental data, the growth data and historical data stored in the geographic information system, obtaining current growth parameters of crops, generating a cultivation strategy according to the growth parameters, and outputting the cultivation strategy.

The invention provides a student file management system and method based on block chain. By setting up the third-party channel, the growth data of students in out-of-school training institutions and various learning stages can be integrated into the same file management system to ensure that the growth data of students in various stages and inside and outside the school are not lost, and the growth of students can be recorded comprehensively; By setting up the growth file module, not only can the students' daily learning performance in school be recorded, but also the students' performance outside school and at home is recorded, which is convenient for teachers to understand the students' extracurricular life and teach students in accordance with their aptitude. By setting up graduation files, students can not only record their learning situation, but also store their growth albums in each stage and the contact information between students, which is convenient for them to contact aftergraduation. Compared with the traditional archives management system, the whole system can record the growth data of students in and out of school, and integrate the growth data of students in different learning stages into one system.

The invention discloses an individual marking method of takifagu obscurus, which comprises the steps of disinfecting a PIT mark and a syringe, narcotizing the takifagu obscurus, placing the disinfected mark in a syringe needle, allowing the syringe needle to pierce skin at the rear edge of the back of a dorsal fin of the takifagu obscurus, inserting the needle to an abdominal cavity by clinging the inner side of the cling, pushing the mark to between the skin and a muscle of the takifagu obscurus, and drawing out the needle. With the adoption of the method, the retention rate of the mark can be increased, the mark does not fall off easily, the degree of injury of a takifagu obscurus body is low during marking, and the normal activity of the takifagu obscurus is not influenced. The mark is 8-10g, and the early marking of the takifagu obscurus provides a precondition for obtaining precise growth data required by selective breeding.

A method for predicting contract renewal ahead of contract expiration includes receiving comments and interview transcripts by a sentiment analysis program to generate sentiments, where the comments and interview transcripts are received from a plurality of clients who are contractees to one or more service contracts, combining the sentiments with contract assessment survey scores and historical renewal and growth data for the service contracts to generate a contract renewal and growth prediction model, providing a contract that is up for expiration to the predictive model, and providing the comments, interview transcripts, and risk assessment survey scores to the predictive model, where the predictive model outputs a prediction of renewal and growth for the contract up for expiration, and an analysis of root causes for the predictions.

The invention relates to a child management system based on two-dimensional code identification. The system comprises a client, a child safety alarm module, a living and socializing module, a child growth record storage module, a game design module and a piece of clothes with a two-dimensional code identifier. The child safety alarm module includes a one-click warning unit, a graded alarm unit and an alarm removal unit. The living and socializing module includes an old clothes replacement unit, a life service order-combining unit, a gift customizing unit, a direct-selling shopping mall unit, a DIY display unit and a new product display unit. The child growth record storage module is used for automatically generating a child growth diary according to a child growth record. The game design module is used for generating video games according to physical problems and growth data of children in different periods. The system is connected with a mobile terminal APP end via a network. According to the invention, a two-dimensional code image can be scanned through a mobile phone to enter an accurate information display interface, geographical location or discovered relevant information can be sent and shared quickly and conveniently, and therefore, the trace of a missing child can be determined, and the police can trace the child on the basis.

The invention relates to the technical field of the agricultural management, especially a big data agricultural management system. The system comprises a master control module, the master control module is electrically connected with a crop monitoring unit, a meteorological monitoring unit, a big data analysis unit, a disaster early-warning unit and a management unit; the crop monitoring unit comprises a data acquisition module, the data acquisition module is electrically connected with a soil humidity detection module, a soil nutrient detection module, a growth state detection module and a carbon dioxide detection module; an output end of the data acquisition module is electrically connected with a data analysis module, the data analysis module is electrically connected with an assessment module. A growth data model of the crop is established through the growth state of the crops and the local meteorological condition, thereby predicting the future yield of the crops; the future crop market sales volume can be estimated, and the crops selling is convenient.

The invention relates to the field of rail transit and steel rail flaw detection, in particular to a multi-period steel rail damage trend prediction method based on data mining, which comprises the following steps: S1, training and judging a position mark A display waveform based on a deep learning model, and establishing a corresponding position mark signal; s2, combining position mark signals with geographic information such as mileage, rice blocks and GPS, and carrying out coarse alignment on all the position marks; s3, determining ultrasonic signal sequences C and Q which need to be aligned through the aligned position marks; s4, performing fine alignment on the ultrasonic signal sequences C and Q through a dynamic time warping method; s5, tracing the damaged position back according tothe aligned ultrasonic wave sequence; and S6, quantifying the development trend of the same damage in different periods, and analyzing the development trend of the damage. According to the method, based on a big data mining algorithm, the periodic change of various damage type characteristic data can be captured, a reliable damage growth data model is formed, and the damage condition of the railis effectively estimated and judged. Based on the prediction model, effective predictive maintenance work can be performed on the damage growth point appearing in the specific station section rail ina targeted manner, so that gradual change is prevented, and unnecessary periodic maintenance cost is saved to a great extent.