10 results about "Poppy" patented technology

The invention provides a poppy recognition method and device based on inverse thinking, equipment and a storage medium, and relates to the technical field of image recognition, and the method comprises the steps: obtaining a plant image set; analyzing and processing the plant image set by using the trained image analysis model, and identifying at least one possible poppy planting area and the planting probability of each possible poppy planting area; the image analysis model is constructed based on a body confrontation theory; the highly suspected area is a possible poppy planting area of which the planting probability is greater than a preset probability threshold; dividing each possible poppy planting area according to the planting probability of each possible poppy planting area to obtain a highly suspected area for planting poppy, and identifying poppy in the execution area based on the highly suspected area through reverse thinking. The method can effectively overcome the influence of shielding and other factors, improves the accuracy of poppy recognition, and can remarkably improve the detection efficiency of a large-area region.

Poppy Flower Animal Memorial Badge

The invention relates to the technical field of poppy recognition, and discloses a poppy different growth cycle recognition method and system based on attention enhancement, and the method comprises the steps: constructing a poppy multi-growth cycle data set; selecting a basic detection model; based on the basic detection model, constructing a recognition model by embedding attention modules into a plurality of feature layers of the feature fusion network; the attention module is used for dividing a channel feature map according to groups so as to establish a corresponding relation with poppy morphological features, allocating different weight coefficients for different growth cycles of poppy, and realizing cross-group feature fusion through channel shuffling; and training the recognition model, and outputting the poppy growth cycle category, the positioning coordinates and the confidence coefficient. A targeted scheme is designed for the unique difficulty of multiple growth cycles of poppy, the lightweight characteristic is maintained, the method can be deployed on an unmanned aerial vehicle or a mobile terminal, accurate identification and real-time monitoring of the whole growth cycle of poppy are achieved, and the problems of incomplete coverage and high omission ratio in the prior art are solved.

The utility model relates to poppy husk preliminary processing technical field discloses a kind of equipment for cutting off straw carried on poppy husk, it mainly includes rack main body, vibration directional feeder, drum material arrangement limiting mechanism, swing shearing mechanism and rack driving mechanism.The utility model passes through vibration directional feeder and enters drum material arrangement limiting mechanism with the longitudinal mode of poppy husk carried with straw, poppy husk will enter the limiting hole in drum, and rotate to the C of comb limiting mechanism with drum, and poppy husk is righted with straw and is clamped to the inside of comb tooth perpendicular to the rotation direction of drum after sending into swing shearing mechanism, and then the straw of super-standard length is cut off by swing shearing mechanism, and after cutting, poppy husk continues to rotate with drum, under the action of gravity, poppy husk falls into the discharge hopper under poppy husk after cutting, enters the next process.

The application provides a kind of illegal poppy monitoring method and system in courtyard, belongs to intelligent monitoring technical field, this method includes: unmanned aerial vehicle shoots target courtyard remote sensing image, obtains splicing vector with scene weight by single dimension reconstruction, feature extraction, disassembles single dimension vector and calculates contrast coefficient group to judge poppy matching element, respectively adopts general poppy identification model, courtyard exclusive poppy growth cycle identification model according to label to carry out image annotation, finally, redundant processing is done to annotated image and feature weighted fusion is obtained to obtain monitoring result containing planting position, area, growth cycle. Significantly improve the accuracy and efficiency of illegal poppy monitoring in courtyard.

The invention belongs to the technical field of plant component analysis, and particularly relates to a method for rapidly identifying a drug original plant. In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows: the method for quickly identifying the drug original plant comprises the following steps: taking a to-be-identified sample from a plant body or a plant body specimen, and adding a diluent according to a mass-volume ratio of 1g: (0.5-1000) mL; mixing, standing, sucking clear liquid, detecting by using detection test paper based on an immunochromatography technology, and judging that the to-be-identified sample is from poppy if a result is positive. The method is high in timeliness, does not depend on GC-MS, HPLC and other instruments for analysis, and is especially suitable for on-site preliminary screening and identification of the plant body of the drug original plant and the product of the plant body.

The invention relates to the field of chemometrics, and discloses a quality detection method of a poppy fruit extract based on a UHPLC-MS / MS total ion flow fingerprint spectrum, and the quality detection method comprises the following steps: preparing a test solution of the poppy fruit extract, and detecting full-wave band three-dimensional data and ion flow chromatogram data of the test solution by a detector; decomposing the full-wave-band three-dimensional data into a plurality of single-wavelength chromatograms with independent wavelengths, and performing integral superposition on the single-wavelength chromatograms to extract macroscopic component characteristics of the test solution; extracting characteristic ion flow signals of trace components in the ion flow chromatogram data, and determining microscopic component characteristics of the test solution; carrying out feature fusion on the macroscopic component features and the microscopic component features; and constructing a standard control atlas database of a standard solution corresponding to the poppy fruit extract, and calculating the similarity between the fusion component characteristics and the standard component characteristics to determine the product quality of the poppy fruit extract. According to the method, the reliability and accuracy of quality detection of the poppy fruit extract can be improved.

This invention belongs to the field of image recognition and provides a method and system for intelligent poppy identification applied to UAV aerial images. The method includes acquiring and preprocessing aerial images of poppies using a UAV; based on the preprocessed aerial images, identifying poppies using a pre-trained poppy plant target detection model to obtain the poppy identification result; wherein the poppy plant target detection model includes a backbone network, a neck network, and a detection head network; the backbone network includes five detection units and a spatial pyramid pooling network; the first detection unit is a Focus module; the second and fifth detection units are both composed of a CSP Bottleneck and a downsampling layer; the third and fourth detection units are adaptive spatial correlation pyramid attention mechanism models. The model proposed in this invention can handle the problem of poppy plant target identification in complex backgrounds and reduce the false negative rate.

This utility model relates to a rapid detection pen for papaverine compounds, belonging to the field of poppy detection technology. It includes a handle and a pen tip. The pen tip is threaded to the bottom of the handle. A main channel is formed in the upper middle part of the pen tip. The handle is hollow inside, and an L-shaped pipe is installed at the bottom of the handle, communicating with the main channel. A liquid reservoir is connected to the top of the L-shaped pipe, and a display ball is connected to the top of the liquid reservoir. An outflow channel is formed at the bottom of the pen tip, and several micro-channels are formed between the outflow channel and the main channel. This device is small in size, has low cost per use, and eliminates complex pretreatment processes such as extraction, purification, and concentration. It can directly detect food samples, and the entire detection process can produce results on-site in just a few minutes, enabling direct monitoring of businesses using poppies.