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36results about How to "Irritability" patented technology

Special polyelement microorganism fertilizer for preventing cotton verticillium wilt and preparation method of special polyelement microorganism fertilizer

The invention discloses a special polyelement microorganism fertilizer for preventing cotton verticillium wilt and a preparation method of the special polyelement microorganism fertilizer. The special polyelement microorganism fertilizer for preventing the cotton verticillium wilt comprises components of raw materials in parts by weight as follows: 2-6 parts of bacillus polymyxa, 3-5 parts of a fertilizer leavening agent, 800-1000 parts of an organic fertilizer, 400-600 parts of an inorganic fertilizer, 50-100 parts of a trace element, 4-8 parts of a plant growth regulator, 10-30 parts of an adhesion agent, Chinese herbal medicinal ingredients and the like. The special polyelement microorganism fertilizer comprises various fertilizers and trace elements which are required in the production period of cotton and comprises the Chinese herbal medicinal ingredients, so that aphids can be effectively prevented, the cotton verticillium wilt is reduced, the fertilizer efficiency can be improved and prolonged, the using amount of a chemical fertilizer is reduced, growth of crops is promoted, the soil is improved, ecological balance is restored, and qualities of agricultural products are improved.
Owner:SUZHOU RENCHENG BIO SCI & TECH

Grayscale image recognition method, device, apparatus and readable storage medium

The embodiments of the invention disclose a grayscale image recognition method, a grayscale image recognition device, a grayscale image recognition apparatus and a readable storage medium. The methodincludes the following steps that: the network model of the extracted outline pixel points of a grayscale image to be identified is established based on a complex network method and a watershed algorithm; distance threshold values in a distance threshold value set are applied to the node set of the initial network model, corresponding sub-network models are established; the topological parametersof the sub-network models are calculated, so as to form the target recognition parameters of the grayscale image to be identified; the strength of each node in the initial network model is calculated,nodes of which the strength satisfies a preset strength condition are selected from the nodes according to the strength of the nodes, so as to form a target network interest point set; and a candidate sample image which satisfies a preset parameter condition and has the same network interest point can be obtained from a sample library by means of matching according to the target recognition parameters and the target network interest point set, and the category of the candidate sample image is the category of the grayscale image to be identified. With the grayscale image recognition method, device, apparatus and readable storage medium of the invention adopted, the recognition efficiency of grayscale images can be improved.
Owner:GUANGDONG UNIV OF TECH

A grayscale image recognition method, device, equipment and readable storage medium

The embodiment of the invention discloses a grayscale image recognition method, device, equipment and computer-readable storage medium. Among them, the method includes performing network modeling on the contour pixel points of the extracted grayscale image to be recognized based on the complex network and the watershed algorithm; applying each distance threshold value in the distance threshold value set to the node set of the initial network model, and establishing corresponding The sub-network model; calculate the topological parameters of each sub-network model to form the target recognition parameters of the grayscale image to be recognized; calculate the strength of each node in the initial network model, and select the nodes that meet the preset strength conditions from the strength of each node , forming a target network interest point set; according to the target recognition parameters and the target network interest point set, match the candidate sample images that meet the preset parameter conditions and have the same network interest points in the sample library, and the category of the candidate sample images is gray to be identified category of the degree image. The application improves the recognition efficiency of grayscale images.
Owner:GUANGDONG UNIV OF TECH

Light and thin non-woven fabric watermark book

The invention discloses a light and thin non-woven fabric watermark book. The light and thin non-woven fabric watermark book comprises non-woven fabric watermark book paper, wherein a storage groove is formed in the non-woven fabric watermark book paper; two groups of non-woven fabric lifting rings are arranged at an opening of the storage groove; the non-woven fabric lifting rings are integrallyarranged on the non-woven fabric watermark book paper; and the two groups of non-woven fabric lifting rings are symmetrically arranged at two sides of the opening of the storage groove. The non-wovenfabric watermark book paper disclosed by the invention is made of non-woven fabric and the fabric is soft, so that hands of students are not injured when the students turn pages; the non-woven fabricwatermark book paper disclosed by the invention is light and thin in fabric, so that the load of the students can be greatly alleviated after the whole weight of the book is reduced and the growth anddevelopment of the students are facilitated; the non-woven fabric watermark book paper disclosed by the invention is moisture-proof and the storage time and conditions of the book can be expanded; the non-woven fabric watermark book paper disclosed by the invention is low in construction cost and can be circularly utilized; and the non-woven fabric watermark book paper is easy to decompose and has no toxin and irritation, so that the environment-friendly concept is met and the physiological health of the students is protected.
Owner:南京天稻智慧教育科技研究院有限公司
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