9 results about "Plant Distributions" patented technology

This invention discloses a method and apparatus for fine extraction of aquatic vegetation and landscape connectivity assessment in rivers and lakes based on high-resolution remote sensing, belonging to the field of environmental remote sensing monitoring and water ecology assessment technology. It includes: acquiring and preprocessing high-resolution satellite imagery to obtain a standardized remote sensing image dataset; extracting water body masks and aquatic vegetation coverage areas through hierarchical threshold segmentation; constructing a dual-threshold discrimination rule based on the normalized vegetation index and soil-regulated vegetation index to finely divide the distribution areas of floating and submerged plants; constructing a binary raster map of vegetation distribution based on the distribution areas; combining a preset connectivity distance threshold; calculating the landscape connectivity index of vegetation patches based on graph theory; determining the ratio of equivalent connected area to effective connected area; and completing a comprehensive assessment of the ecological effectiveness of the aquatic vegetation community. This invention is mainly used for remote sensing monitoring of aquatic vegetation in urban rivers and lakes and for assessing the effectiveness of water ecology restoration, effectively mitigating spectral interference from complex water body sediment backgrounds.

The application is suitable for the field of agricultural monitoring technology, and particularly relates to a corn whole life cycle monitoring method and system based on air-ground cooperation, which comprises the following steps: outputting inferred stalk diameter and top plane coordinates through a UAV; obtaining measured stalk diameter and base plane coordinates through a ground robot; constructing a first plant distribution matrix and a second plant distribution matrix; matching the first plant distribution matrix with the second plant distribution matrix; and according to the matching result, associating the top monitoring data collected by the UAV with the side monitoring data collected by the ground robot to the same corn plant. Through the matching based on the relative position relationship between the plant stalk diameter and the group, the application overcomes the data misplacement problem caused by the positioning drift of the UAV and the ground robot, does not need to rely on expensive high-precision positioning equipment, provides a reliable data basis for planting decisions such as variable rate fertilization and precision pesticide spraying, and improves the accuracy of corn precision management.

A method for classifying disturbing plants using drone orthophotos is disclosed, and the method for classifying disturbing plants using drone orthophotos may include: (a) forming a drone orthophoto in which a target area is shown during a preset period; and (b) determining a candidate object of a disturbing plant from the drone orthophoto as the disturbing plant.

The present application relates to the water ecological restoration technical field, specifically to a kind of detection device and application method for assisting submersed plant recovery, including working system, for water navigation, carry information acquisition system, sampling system, store and transport collected water quality, sediment sample;Information acquisition system is used to obtain point coordinate information, water depth, flow rate, transparency and shoot underwater submersed plant and sediment image;Sampling system is used to simultaneously carry out water quality, sediment sample collection;Information receiving and processing terminal is used to receive the information of information acquisition system, and process underwater image, analysis obtains submersed plant species, coverage, biomass level grade and sediment category and pollution degree grade information, then comprehensive discriminant analysis is carried out.The present application can simultaneously obtain the hydrology of water body, sediment characteristics and submersed plant distribution characteristics, and simultaneously monitor water quality and other indicators of sediment, and assist system to identify submersed plant suitable recovery area, avoid the risk of blindly carrying out large-scale submersed plant restoration investment.

The application relates to the field of agricultural robots and discloses a blueberry picking and sorting robot autonomous navigation picking and sorting method and system, wherein the plant distribution and spatial structure are acquired through an environment perception module, a density self-adaptive path and a resource pre-allocation strategy are generated by a global task planner, a picking and sorting module cooperates according to the strategy, a material buffer module dynamically adjusts the two end rates according to a load threshold, and a multi-mode feedback data driven double closed loop PID algorithm realizes millisecond level rate synchronization. The system integrates a laser radar, a stereo vision and a near infrared sensor, is equipped with a flexible clamping mechanical arm, a multi-stage screen sorting mechanism and a conical container buffer module, supports abnormal self-correction and multi-machine cooperative load redistribution. Through a dynamic coupling control architecture, the application improves the working efficiency, reduces the fruit damage rate and guarantees the continuous stable operation of the system for more than 8 hours.

The utility model discloses a kind of electric seeding machines suitable for different seed particle size, it is related to agricultural machinery technical field, including circular box and axial installation's support shaft, the circular box outer circle is evenly equipped with several duckbill seed metering device, it is characterized in that, several total volume cavities are equipped in the circular box, several total volume cavities and several duckbill seed metering device one-to-one correspondence and communicate, moving plate is arranged in the total volume cavity, first adjusting mechanism is arranged on the moving plate, the first adjusting mechanism is used to adjust the position of moving plate in total volume cavity to adjust the volume of volume cavity, ensure that the number of seed discharged each time and actual requirement match, avoid seed waste or seedling shortage caused by too little seed metering due to seed metering too much, finally guarantee emergence rate and field plant distribution uniformity, improve overall seeding efficiency.

This application relates to an improved training method for a crop planting distribution prediction network using a spatiotemporal Informer model, belonging to the field of planting distribution prediction technology. The method includes: acquiring historical crop spatial distribution raster data, crop planting distribution observation time-point sequences, and crop-related factor variation matrices for at least one historical region; inputting the historical crop spatial distribution raster data into the spatial information modeling layer of the target Informer model to obtain historical crop spatial distribution feature encodings; inputting the crop planting distribution observation time-point sequences and crop-related factor variation matrices into the multi-source feature co-coding layer of the target Informer model to obtain multi-source feature co-codings; and training the target Informer model based on the historical crop spatial distribution feature encodings and multi-source feature co-codings to obtain the final crop planting distribution prediction model. This application improves the accuracy of crop planting distribution prediction.