10 results about "Dead wood" patented technology

The invention discloses a forestry seedling culture data acquisition and analysis system, which relates to the technical field of data processing, and is characterized in that backscattered light of a seedling lignified tissue is acquired, an initial speckle interference video stream is generated, and after spatial image stabilization registration is performed on the initial speckle interference video stream, the speckle interference video stream is output; the correction module is used for obtaining a speckle interference video stream, extracting pixel time sequence gray information of the speckle interference video stream, mapping the pixel time sequence gray information into a time history speckle pattern, calculating a texture statistical characteristic value of the time history speckle pattern and outputting the texture statistical characteristic value as a first cell chaos degree index, and the compensation module is used for obtaining a metabolic rate compensation coefficient through a correction model. Temperature correction is conducted on the first cell chaos degree index according to the metabolic rate compensation coefficient, a second cell chaos degree index is output, the deviation degree of the second cell chaos degree index of the to-be-detected nursery stock and the dead wood reference value is calculated, the dormant state of the nursery stock is judged according to the deviation degree, and instant and accurate regulation and control over key nodes of seedling warehouse-out and recovery are achieved.

The invention relates to the technical field of image detection, in particular to a forest vegetation detection method and system based on an unmanned aerial vehicle, and the method comprises the steps: obtaining an RGB image of a forest region in real time through the unmanned aerial vehicle, and carrying out the preprocessing; constructing a comprehensive feature index of an image block in the image, wherein the comprehensive feature index is used for representing a comprehensive feature expression condition of the image block under different illumination influences; adaptively setting a contrast limit threshold value of each image block according to the comprehensive feature index, and performing local enhancement by adopting a CLAHE algorithm; rotten and dead wood detection model training is carried out on the enhanced RGB image so as to identify rotten and dead wood in the RGB image acquired by the unmanned aerial vehicle; and deploying the trained model to the unmanned aerial vehicle for real-time detection and position feedback. According to the method, the image is effectively enhanced according to the distinguishing features of the decayed dead wood in different blocks and the background surface soil in the image, and the accuracy of subsequent forest vegetation detection and recognition is improved.

The application provides a pine dead wood recognition method, system and computer device based on aerial images, comprising: pre-processing aerial images to obtain a plurality of image blocks; inputting the plurality of image blocks into a backbone network for feature extraction to obtain a plurality of groups of multi-scale feature maps; simultaneously constructing positive contrast relationship and negative contrast relationship for each group of multi-scale feature maps to generate enhanced feature vectors; based on the enhanced feature vectors, obtaining known class confidence and unknown class exclusivity in parallel for the multi-scale candidate boxes generated for the corresponding image blocks; performing open set determination on the multi-scale candidate boxes according to the known class confidence and the unknown class exclusivity to determine each candidate box as a known class, background or unknown class; rejecting the candidate boxes determined as unknown classes and taking the remaining candidate boxes as effective candidate boxes; performing boundary box regression and non-maximum suppression on the effective candidate boxes to output the recognition result of the pine dead wood. The application does not increase unknown classes and recognizes pine dead wood to reduce false positives.

The utility model relates to a ship deadwood structure which comprises an outer frame, the outer frame comprises a first framework and a second framework, one end of the first framework is bent and arranged on an outer plate of a ship, the other end of the first framework is in smooth transition connection with one end of the second framework, and the other end of the second framework is bent and arranged on the outer plate of the ship; the upper portion and the lower portion of the outer frame are each provided with a sealing plate, one side of each sealing plate is connected with the outer frame, the other side of each sealing plate is connected with the outer plate, and a buoyancy cavity is defined between the outer plate and the outer frame. The sealing plate is of an integral plate structure, plug welding holes are formed in the surface of the sealing plate, and the sealing plate is connected with the outer plate through the plug welding technology. A traditional whole thick plate is replaced by the outer plate-frame combined design, and the whole plate sealing and plug welding processes are combined, so that weight reduction, welding optimization and buoyancy improvement are realized.

The utility model relates to the field of water body aeration and oxygenation, and discloses a submersible pump type negative pressure pulse aeration cycler which comprises a shell, an aeration assembly is arranged in the shell; the aeration assembly comprises an aeration bin; the shell is fixedly connected with a filter screen; the two filter screens are symmetrically arranged at the two ends of the shell, aeration is carried out through the aeration assembly in the shell, oxygen is provided for water, impurities such as aquatic plants, dead wood and stones in the water are prevented from entering the shell in the aeration process, and the situation that the aeration assembly in the shell is damaged is avoided; the filter screens are additionally arranged at the two ends of the shell to intercept impurities such as aquatic plants, dead wood and pebbles in water and prevent the impurities such as the aquatic plants, the dead wood and the like from blocking the filter screens, the sliding blocks slide on the sliding rods on the fixing plates to drive the cleaning blocks to slide in the sliding grooves, and therefore the cleaning blocks clean the filter screens to prevent blocking.

The invention relates to the field of pest control, in particular to application and a method of allyl isothiocyanate in killing pine wood nematode disease on epidemic wood, and further, the epidemic wood is pine wood which is withered due to infection of the pine wood nematode disease. The allyl isothiocyanate recorded by the invention has a very strong fumigation effect on pine wood nematodes, can kill nematodes in infected withered and dead wood, and enables infected wood to be non-infected wood. Allyl isothiocyanate is a plant source component and is environmentally friendly, the medicament cost is very low, the medicament cost is 3 yuan or below per plant at the current market price, however, the retrieved pine value is 50-100 yuan or above per plant, and the popularization value is very high. Besides, the allyl isothiocyanate has extremely high volatility and can be quickly conducted in a withered pine trunk, generally, the allyl isothiocyanate can be conducted to all parts of the whole withered tree within about one month, and the problem that a common agent cannot be conducted in the withered tree is solved.

The invention discloses an ecological restoration method for improving quality and efficiency of a declined artificial haloxylon ammodendron forest, and belongs to the technical field of desert vegetation restoration. According to the method, a comprehensive decline index is calculated by measuring multiple indexes such as the ratio of dead and dead trees in the haloxylon ammodendron forest, the canopy coverage loss rate of the haloxylon ammodendron forest, the shoot withering rate of the haloxylon ammodendron forest, the total vegetation coverage of the haloxylon ammodendron forest and the root exposure rate of the haloxylon ammodendron forest, and the haloxylon ammodendron forest is accurately divided into four grades of non-degradation, mild decline, moderate decline and severe decline. Then differentiated restoration is carried out according to different decline grades, wherein redundant branches are mainly pruned in light decline forests; thinning two-stage branches and cleaning secondary dead branches in the moderately declined forest; in the severe decline forest, stumping is carried out on the trunk withered plants. And the branches obtained by pruning or stumping are laid on the spot to form a sand barrier, so that resource recycling is realized. The problems that in the prior art, degradation grade division is fuzzy, repairing measures are homogenized, the cost for supplementing other sand barrier materials is high, and the environmental hidden danger is large are solved, precise diagnosis and targeted repairing of the declined haloxylon ammodendron forest are achieved, and the ecological function and stability of the forest stand are effectively improved.

The invention discloses a forestry pine wood nematode disease prevention and control method, system and device, and the method comprises the steps: obtaining forest remote sensing image data, carrying out the forest pest monitoring of the forest remote sensing image data, and obtaining a pest region; deploying an insect trapping device in the pest and disease area, and acquiring pest and disease image data based on the insect trapping device; constructing a multi-feature fusion model, and performing feature recognition on the disease and pest image data based on the multi-feature fusion model to obtain a monochamus alternatus probability vector; counting the occurrence frequency of the monochamus alternatus image based on the probability vector of the monochamus alternatus, and calculating the population density of the monochamus alternatus in the pest and disease damage area based on the occurrence frequency; and formulating a pine wood nematode disease prevention and control scheme according to the population density of monochamus alternatus in the pest and disease damage area. By means of the method, the population density of monochamus alternatus in the area can be accurately estimated, and diseased dead wood can be cleaned in a targeted mode. The method can be widely applied to the technical field of pest control.

The invention provides a pine, dead and dead wood identification method and system based on an aerial image and computer equipment. The method comprises the following steps: preprocessing the aerial image to obtain a plurality of image blocks; inputting the plurality of image blocks into a backbone network for feature extraction to obtain a plurality of groups of multi-scale feature maps; simultaneously constructing a positive contrast relationship and a negative contrast relationship for each group of multi-scale feature maps to generate an enhanced feature vector; on the basis of the enhanced feature vectors, obtaining known class confidence and unknown class rejection in parallel for multi-scale candidate frames generated by corresponding image blocks; performing open set judgment on the multi-scale candidate frames according to known class confidence and unknown class rejection, so as to judge each candidate frame as a known class, a background or an unknown class; rejecting the candidate frames which are judged to be unknown classes, and taking the remaining candidate frames as effective candidate frames; and performing bounding box regression and non-maximum suppression on the effective candidate box, and outputting an identification result of the pine, withered and dead wood. According to the method, unknown classes are not added, and pine, dead and dead wood are identified to reduce false alarms.