Abstract: The present invention discloses a credible fruit traceability method and device based on fruit texture atlas and blockchain. According to the present invention, images of fruit pedicel part and fruit navel part of a single fruit are obtained, and the images are grayed and normalized to be converted into rectangular images; features are extracted from the rectangular images, respectively, and are encoded to obtain a fruit pedicle feature code table and a fruit navel feature code table; the two feature code tables are subjected to a merging operation to obtain a combined bidirectional feature code table, thus forming a unique fruit texture atlas. By processing the fruit texture atlas, the fruit texture atlas information and related information are stored on the blockchain.

Abstract: The present invention relates to an optical resin composition having high impact resistance, heat resistance and refractivity and obtained by applying organic-inorganic hybrid, and a preparation method thereof. The optical resin composition is prepared from the following components by mass percent: 100% of a mixture A, 0.1-5% of an inorganic material, 0.05-6% of an ultraviolet absorber, 0.01-5% of a mold release agent, 0.01-5% of a polymerization initiator and 0.03-2% of a color regulator. The optical resin composition of the present invention can be used to prepare optical resin lenses characterized by light mass, easy formability, easy dyeability, high transparency, and high Abbe number, as well as high impact resistance, high heat resistance and high bending rate after surface coating.

Abstract: Providing category information includes: receiving a plurality of search key word sets that were previously input by a plurality of users; obtaining category information corresponding to the plurality of search key word sets; segmenting each of the plurality of search key word sets into search key word units; combining the search key word units into a plurality of search key word unit groups that correspond to a plurality of stages; based at least in part on the category information, determining category information that specifically corresponds to the plurality of search key word unit groups; and based at least in part on category information, establishing a plurality of search key word tables corresponding to the plurality of stages.

Abstract: Providing category information includes: receiving a plurality of search key word sets that were previously input by a plurality of users; obtaining category information corresponding to the plurality of search key word sets; segmenting each of the plurality of search key word sets into search key word units; combining the search key word units into a plurality of search key word unit groups that correspond to a plurality of stages; based at least in part on the category information, determining category information that specifically corresponds to the plurality of search key word unit groups; and based at least in part on category information, establishing a plurality of search key word tables corresponding to the plurality of stages.

Abstract: Providing category information includes: receiving a plurality of search key word sets that were previously input by a plurality of users; obtaining category information corresponding to the plurality of search key word sets; segmenting each of the plurality of search key word sets into search key word units; combining the search key word units into a plurality of search key word unit groups that correspond to a plurality of stages; based at least in part on the category information, determining category information that specifically corresponds to the plurality of search key word unit groups; and based at least in part on category information, establishing a plurality of search key word tables corresponding to the plurality of stages.

Abstract: Providing category information includes: receiving a plurality of search key word sets that were previously input by a plurality of users; obtaining category information corresponding to the plurality of search key word sets; segmenting each of the plurality of search key word sets into search key word units; combining the search key word units into a plurality of search key word unit groups that correspond to a plurality of stages; based at least in part on the category information, determining category information that specifically corresponds to the plurality of search key word unit groups; and based at least in part on category information, establishing a plurality of search key word tables corresponding to the plurality of stages.