12 results about "Agricultural management" patented technology

This application discloses a method, apparatus, equipment, medium, and product for predicting regional crop water productivity, relating to the field of smart agriculture. The method includes inputting historical and future climate data into an ecosystem process model to obtain simulated net primary productivity and simulated evapotranspiration for historical and future times; using a bias mapping method based on the simulated evapotranspiration, actual evapotranspiration, and simulated evapotranspiration for future times to obtain predicted evapotranspiration for future times; training multiple machine learning models based on the simulated net primary productivity, agricultural management data, and grain yield per unit area for historical times to obtain a crop yield prediction model; obtaining the predicted grain yield per unit area for future times based on the crop yield prediction model; and obtaining the regional crop water productivity based on the predicted evapotranspiration and the predicted grain yield per unit area for future times. This application can achieve high-precision, high spatiotemporal resolution, and high-reliability prediction of regional crop water productivity.

This invention discloses a multimodal decision-making method, device, electronic device, and storage medium for open-field vegetable management. The method includes: acquiring modal perception data corresponding to a target open-field vegetable field; determining modal features corresponding to each modal perception data point and determining feature fusion weights corresponding to the modal features at each time anchor point; determining global multimodal fusion features based on the feature fusion weights and modal features; determining knowledge representation features from an agronomic knowledge graph based on the modal perception data; and determining a target decision scheme based on the knowledge representation features and the global multimodal fusion features. By integrating multiple data sources such as meteorology, soil, crop status, and agricultural machinery operating parameters, and employing spatiotemporal alignment and adaptive weighting mechanisms, combined with reinforcement learning technology, the method dynamically adjusts agricultural machinery operation strategies based on real-time data, optimizes agricultural management measures such as fertilization, irrigation, and pest and disease control, improves production efficiency, and ensures the real-time nature and accuracy of decision-making.

This utility model discloses a ditch cleaning device for digital agricultural management. Its structure includes a push plate, a filter belt, and a sludge pump. A second electric push rod pushes a sliding rod, causing the mounting frame to rotate under the rotation of a rotating rod and a limiting plate, allowing its bottom end to be inserted into the ditch. A motor drives a rotating roller, causing the filter belt to rotate and carry impurities out of the ditch, effectively cleaning larger impurities. Then, a first electric push rod pushes a concentrated bucket at its lower end, placing it inside the ditch. The concentrated bucket, under pressure during movement, concentrates the sludge. The sludge pump then discharges the sludge to one side through a suction pipe and a discharge pipe, thus achieving the ditch sludge cleaning work. This avoids the low efficiency of manual cleaning, reduces labor, speeds up the work process, and provides better cleaning results.

The utility model discloses a front -drive type agricultural management machine. The front -drive type agricultural management machine includes frame, set up on the frame's steering mechanism and set up on the hydraulic steering ware of steering mechanism, be equipped with a pair of front walking wheel and a pair of rear walking wheel on this frame, and each front walking wheel includes ball cage and the tire of sleeve setting on the ball cage, and the pair of ball cage is equipped with the hydraulic steering cylinder subassembly of transmission connection with it, and the hydraulic steering ware is connected with hydraulic steering cylinder subassembly through first oil pipe and second oil pipe. Through being equipped with hydraulic steering ware on the steering mechanism, thereby the steering mechanism in the steering process, the hydraulic steering ware receives the mechanical steering signal of steering mechanism, and the hydraulic steering ware will receive the mechanical steering signal and turn into hydraulic steering signal, thereby can through the telescopic movement of control hydraulic steering cylinder subassembly, and the telescopic of hydraulic steering cylinder subassembly drives the rotation of front walking wheel, thereby realizes the steering of riding type agricultural management machine, and improved the convenience of steering.

This invention discloses an intelligent monitoring and early warning method and system for field diseases based on multimodal data, belonging to the field of agricultural information monitoring technology. The method divides the target field into several sub-regions using a grid, and deploys environmental sensing sensors and image acquisition devices in each sub-region. It establishes a data sampling time period and normalizes the multimodal data for each sub-region. The method calculates the environmental induction intensity value and crop characteristic deviation value, and calculates the multimodal comprehensive disease risk score. It calculates the risk evolution direction and direction sign value at adjacent time points, and calculates the induced consistency value of adjacent sub-regions. It sets a comprehensive risk threshold and an induced consistency threshold, and issues real-time early warnings for sub-regions exceeding the thresholds. This achieves closed-loop management of monitoring, analysis, and decision-making, improving the accuracy and timeliness of field disease monitoring, reducing disease spread losses, and supporting precision agricultural management and scientific prevention and control.

This invention relates to the field of agricultural information management, specifically to a smart agricultural management strategy optimization system. The system includes: a device access module for establishing standardized protocols to access all types of agricultural sensing devices; a data management module for constructing a unified database of agricultural equipment; a device management module for full-process control of equipment and data; a GIS visualization module for building an agricultural management visualization platform; an agricultural decision-making module for constructing a multi-factor fusion quantitative agricultural decision-making model to determine irrigation triggering rules and execution strategies; a water and fertilizer control module for using PID and feedforward control algorithms for closed-loop regulation of water and fertilizer ratios; and a device operation and maintenance module for establishing an operation and maintenance management system for full lifecycle management of equipment.

A method and system for two-way recommendation of rice regions and varieties is disclosed. This invention relates to smart agriculture and information-based agricultural management, specifically a method and system for two-way recommendation of rice regions and varieties. The invention proposes a deep fusion method based on multi-source data driven by phenological characteristics, introduces a nonlinear accumulated temperature correction function, automatically identifies the optimal window that matches the base temperature for rice growth, and establishes a collaborative evaluation function to support two-way recommendation. This significantly improves the accuracy and reliability of rice variety and region matching. The method includes the following steps: acquiring multi-source data on rice varieties; constructing a rice variety database; acquiring user input information, including: geographical information of the target planting area or variety information of the target rice variety; selecting the corresponding matching mode based on the user input information: when the input is geographical information of the target planting area, performing region-variety matching; when the input is variety information of the target rice variety, performing variety-region matching.

This invention discloses an effective method for controlling leaf curling in macadamia nuts, comprising the following steps: selecting mineral oil with an effective ingredient content ≥99%, mixing it with water at a volume ratio of 1:100-400, then adding an emulsifier accounting for 0.05%-0.2% of the total weight of the mixture, stirring evenly to prepare a mineral oil emulsion; applying the emulsion using a misting device based on the growth characteristics of macadamia nuts during the shoot emergence period, pre-flowering period, young fruit stage, and mid-fruit development stage, combined with the differences in insect resistance among different varieties; integrating four measures: pruning and shaping control, orchard sanitation, soil regulation, and nutrient enhancement; and regularly monitoring key indicators such as thrips population density, leaf curling rate, and deformed fruit rate using a five-point sampling method, adjusting the control plan based on quantitative data. This invention achieves highly efficient control of thrips, prevents leaf curling, improves macadamia nut yield and quality, and protects the orchard ecological environment by optimizing the mineral oil emulsion formulation, precise application strategies, synergistic agricultural management measures, and dynamic monitoring and adjustment.

This utility model discloses a rear-drive agricultural management machine. The rear-drive agricultural management machine includes a frame, a steering mechanism mounted on the frame, and a hydraulic steering unit mounted on the steering mechanism. The frame has a pair of front wheels and a pair of rear wheels. Each rear wheel includes a ball joint and a tire fitted onto the ball joint. A hydraulic steering cylinder assembly is mounted on the ball joint and is connected to it via a first oil pipe and a second oil pipe. By providing a hydraulic steering unit on the steering mechanism, during steering, after receiving a mechanical steering signal from the steering mechanism, the hydraulic steering unit converts the received mechanical steering signal into a hydraulic steering signal. This allows control of the extension and retraction of the hydraulic steering cylinder assembly, which in turn rotates the rear wheels, thus achieving steering of the ride-on agricultural management machine and improving steering flexibility.

This application provides a method and apparatus for generating farm plot management schemes. The method includes: in response to a target user creating a target plot, identifying plot location parameters, target crop identifiers, and user planting parameters from the plot information; determining the county information to which the target plot belongs based on the plot location parameters; determining the county-level cropping system information matching the target crop and recommended fertilization schemes for different growth stages of the target crop based on the county-level cropping system information, recommended fertilization schemes, and user planting parameters; and instantiating a plot-level management template based on the county-level cropping system information, recommended fertilization schemes, and user planting parameters to obtain a target management scheme for the target plot, enabling the target user to perform agricultural management. The plot-level management template is a standardized management scheme obtained by structurally organizing the growth stages, execution sequences, and operational parameters corresponding to different agricultural operations.

The present application relates to the field of agricultural intelligent information processing and precision agriculture technology, and more particularly to an image recognition and crop yield prediction method for fine agricultural management, which extracts remote sensing statistical features and vegetation index time series data of each plot from multi-temporal remote sensing images in combination with pre-acquired plot boundaries, reconstructs phenological period time series features to generate dynamic growth feature vectors; constructs a plot heterogeneous graph containing physical adjacent edges and attribute similar edges, aggregates neighborhood fusion growth features through a graph convolution network; and finally outputs plot-level unit area yield through a pre-trained yield regression model after constraint correction of the features through a basic yield force coefficient calculated based on plot static environmental data; the purpose of the present application is to solve the problem of low prediction accuracy caused by the fact that existing yield prediction ignores the integrity and spatial topological relationship of plots, has poor robustness in the case of data loss, and lacks agronomic physical constraints.

This application discloses a farmland information collection device for agricultural management, belonging to the field of farmland information collection technology. It includes a trolley, a mounting frame fixedly installed at the rear of the trolley, an outer sampling cylinder movably mounted on the mounting frame, a drive assembly for driving the rotation and lifting of the outer sampling cylinder, a sampling assembly for retrieving samples, and a control assembly to prevent the trolley from tipping over. The control assembly includes a lead screw rotatably mounted on the mounting frame and a guide rod fixed to the mounting frame. The beneficial effect of this application is that it provides a farmland information collection device for agricultural management. Through the provided outer and inner sampling cylinders, during sampling, the outer sampling cylinder moves downwards to insert into the soil while simultaneously rotating. The serrated edges cut the soil, facilitating soil sampling and preventing the trolley from tipping over due to hard soil.