7 results about "Growth management" patented technology

The invention discloses a portable terminal and a method for measuring and calculating economic benefits of a smart greenhouse in a full life cycle, belongs to the field of smart agricultural hardware, and aims to solve the problems of insufficient coverage, data breakage, low accounting efficiency and difficult recovery of full-stage measurement and calculation of existing equipment through full-cycle exclusive hardware design. The portable terminal comprises a main body protection shell, an economic parameter interaction assembly, an income data acquisition assembly, a hardware calculation assembly and a power supply assembly, and all the assemblies cooperate to adapt to a full-life-cycle economic income measurement scene of planting preparation, growth management, harvesting and selling, and operation redisk of the intelligent greenhouse. After the method is applied, the complete-cycle data integrity of the greenhouse is 100%, the annual average income error calculation is reduced by 70%, the annual average income increase of a five-greenhouse tomato base exceeds 926000 yuan, the return on investment is shortened to 2-3 months, data can be stored in a structured mode, and planting optimization is supported.

This invention relates to the field of smart agriculture technology, and specifically discloses an intelligent precision growth management system and method for strawberries based on the Internet of Things. The system includes: a perception layer that collects real-time data on the actual growth environment and growth status of strawberry seedlings; a growth environment analysis layer that compares the actual and target growth environment data to obtain the deviation as a control analysis result; a growth status analysis layer that combines the growth status data with the current target growth stage to provide a growth status analysis result; a growth environment optimization layer that, based on the above two results, calculates the amount of environmental data supplementation and optimizes the target growth environment control data for the next adjacent control cycle to obtain the optimal growth environment control data; and a control layer that, based on the optimal growth environment control data, adjusts the execution equipment in real-time to obtain the latest growth management results of the strawberry seedlings, achieving precise control and optimization of the strawberry seedling growth environment. This improves the accuracy and scientific nature of strawberry growth management, contributing to increased strawberry yield and quality.

The invention discloses an AI Agent growth management method and system based on a WeChat small store, relates to the technical field of data processing, and is used for providing a reply with an actual guidance value according to optimization consultation. Comprising the following steps: receiving a user consultation, and identifying a user intention and a user situation element in the user consultation; the user situation elements comprise a product name consulted by the user and a situation where the user is located; comparing the user situation elements with necessary situation elements defined by a preset domain knowledge association framework to diagnose missing key situation elements; according to the missing key situation elements, generating and sending a situation question to the user so as to guide the user to supplement the missing key situation elements; and integrating the user situation elements and the supplemented key situation elements, and generating personalized technical guidance corresponding to the user consultation in combination with the domain knowledge association framework and the commodity technical parameters.

The present invention relates to a method, an apparatus, and a computer program for predicting growth such as height of a child teenager in a growing period by using an artificial intelligence model based on a growth stage of the child teenager in the growing period, and an exemplary embodiment of the present invention provides a method for predicting growth and providing a solution for the growth stage by using artificial intelligence, comprising the following steps: receiving time-series body information of an evaluation object; a step for classifying, on the basis of the inputted body information of the subject to be evaluated, into any one of a plurality of growth stages; a step for extracting body information of the evaluation subject belonging to the classified growth stage; inputting the extracted body information into a learned neural network, and predicting growth; and a step of providing a growth management solution on the basis of the classified growth stages.

This program will enable people with little agricultural knowledge or experience to acquire basic agricultural knowledge and skills that can be applied to a variety of farming styles in a practical and short period of time. It will also foster small-scale, self-sufficient farmers who can diversify their income sources and be highly profitable. [Solution] Multiple cultivation plots are set up in one management unit field, which is considered a single management unit. A cultivation plan is created and agricultural work is carried out for the multiple cultivation plots so that all agricultural work, broadly categorized as "ridge making," "planting," "growth management," and "harvesting," can be carried out on a learning agricultural work day, which occurs about once a week.

A method for predicting growth on the basis of growth age and providing a solution by using an artificial intelligence model may include the steps of: receiving biometric data of a measurement target; extracting data regarding the predicted age of peak height velocity (APHV), at which the growth velocity is expected to reach the maximum value, by using the biometric data of the measurement target; classifying the growth step of the measurement target into one of multiple growth steps on the basis of the extracted data regarding the predicted APHV; predicting the final height by inputting the extracted data regarding the predicted APHV into a trained neural network; and providing a growth management solution on the basis of the classified growth step and the predicted final height.

The invention relates to the technical field of intelligent agriculture, and discloses a planting method and system based on summer vegetables in a plateau area. The method comprises the following steps: continuously acquiring soil and meteorological multi-parameter data through a sensor array deployed in a target planting area, and performing verification processing to form a standardized data set; carrying out planting suitability analysis by using the data set to generate a spatial distribution map; establishing a crop growth prediction model in combination with historical data and real-time data, and outputting growth expectations of different planting schemes; formulating a detailed planting plan including time, density and position according to the map and an expected result; controlling the planting equipment to sow according to the plan, and continuously monitoring the growth vigor; and dynamically adjusting management measures according to the growth vigor change to form closed-loop regulation and control. According to the plateau summer vegetable planting management system, refining of planting planning and intellectualization of growth management are achieved, and the resource utilization efficiency and output stability of plateau summer vegetable planting are improved.