3 results about "Digital agriculture" patented technology

This invention discloses a method and system for posture estimation and cutting point localization of rhizome medicinal materials, belonging to the field of digital agriculture technology. The method includes: acquiring training data; constructing a YOLO model; training recognition and localization models for each part; inputting the RGB image of the rhizome medicinal material to be identified into the model; preprocessing the image using a multi-frame optimization strategy, obtaining the contour of the largest connected region after denoising, and calculating the centroid; using a geometric constraint strategy, recovering the root-stem transition zone detection box based on the spatial position of the root and stem, obtaining its largest connected region contour, and calculating the centroid; based on the root-stem transition zone and the optimized stem and root detection boxes and centroids, using a root-stem opposite-direction clipping algorithm and weighted least squares fitting iteration to obtain the posture angle of the rhizome medicinal material; finally, locating the cutting point of the rhizome medicinal material based on the posture angle and the structural geometric features of the root-stem transition zone. This invention offers the advantages of accurate, efficient, and rapid posture estimation and cutting point localization of rhizome medicinal materials, enabling automated root-stem separation and processing of rhizome medicinal materials.

The application belongs to the technical field of digital agriculture, and particularly relates to a blockchain traceability data management platform for digital agriculture, wherein the system comprises an agricultural product supply chain informatization module, a trust value quantification module, a two-dimensional code generation module, a local two-dimensional anti-fraud verification module and a traceability query module. The scheme constructs a distributed blockchain ledger network suitable for the agricultural product supply chain, allocates unique on-chain identity and permission to each link participant, generates a basic two-dimensional code bearing core data through a two-dimensional code generation library, triggers a smart contract to calculate a trust value in real time and uploads the trust value to the chain during traceability query, calculates a local hash value by extracting an on-chain identity embedded in a two-dimensional code to be detected, and compares the local hash value with a preset authorization list to complete legality verification, realizes real-time two-dimensional anti-fraud verification of the two-dimensional code without network dependence, can accurately trace and immediately intercept a counterfeit behavior, and provides a full-process anti-counterfeiting and traceable trust guarantee for agricultural product traceability.

This invention provides a grassland carbon sink management decision support system based on a multi-factor weighted regression model, belonging to the field of digital agriculture and ecological information decision technology. The system comprises: a multi-source data integration and processing module that standardizes multi-source data; a multi-factor weighted regression model engine module that employs the multi-factor weighted regression model algorithm; a carbon sink accounting and dynamic assessment module that translates the output of the MWRM model engine module into business language; a scenario simulation and decision support module that provides carbon sink hotspot identification and protection priority delineation, grazing pressure optimization analysis, and pre-assessment of management measure benefits, capable of directly generating quantitatively assessable grazing ban plans, rotational grazing schemes, and engineering layout suggestions based on spatial heterogeneity; and a visualization and interactive output module that provides a graphical interface on a web or desktop to present the results of all the above modules. This invention establishes an automated and intelligent decision support system integrating high-precision accounting, scenario simulation, and spatial planning.