4results about How to "Good development environment" patented technology

This invention belongs to the field of hop propagation technology, specifically relating to a method for propagating hops by rock wool cuttings in plug trays. The method for propagating hops by rock wool cuttings in plug trays includes the following steps: (1) Preparing cuttings: Selecting hop mother plants and cutting semi-lignified branches as cuttings; (2) Treating cuttings: After cutting the cuttings, soaking the base in a plant growth regulator; (3) Cutting operation: Dividing the rock wool into small pieces, placing them in plug trays, completely soaking the rock wool in a probiotic solution, and inserting the cuttings into the rock wool; (4) Post-cutting management: Placing the plug trays after cutting in a greenhouse or polytunnel, cultivating for 45-50 days after cutting, and then transplanting. The propagation method of this invention can improve the rooting rate of hops, while the root system of the cuttings is more developed, the plants grow better, and the survival rate after transplanting is higher.

The invention discloses a method for cultivating a good camellia chrysantha strain through bare-root transplanting and grafting of a camellia adult tree. The method comprises the following operation steps: (1) stock preparation and bagging; (2) grafting; (3) management after grafting; (4) field planting and management. According to the method, the stock stump is excavated in a completely bare-root mode, the treatment method of stump root systems, branches and the like is easy to operate, transportation is convenient, labor is little, cost is low, and centralized grafting management is facilitated; the adopted pulp root treatment can provide nutrition for the rootstock, can also play a role in sterilization and insect killing under specific humidity, and can inhibit the possibility that the excavated rootstock suffers from diseases and pests as much as possible; according to the method, stock transplanting and scion grafting are conducted at the same time, the cultivation time of large-specification camellia nitidissima plants can be effectively shortened, the cultivation cost is reduced, and early yield and high yield of grafted trees are achieved.

The present invention provides a multi-target scattered echo parallel calculation method, device, equipment and storage medium, wherein the method is applied to a VxWorks system mounted on a hardware platform, including: determining the number of CPU cores and the number of targets to be processed in the hardware platform; creating more than two calculation tasks corresponding to the CPU cores according to the number of CPU cores in the hardware platform; determining the targets with affinity to each CPU core according to the number of CPU cores in the hardware platform and the number of targets; on each CPU core of a target with affinity, calling the corresponding calculation task to calculate the target with affinity to the CPU core. This solution enables different CPU cores to call their corresponding calculation tasks to complete the calculation process in parallel, which greatly improves the calculation efficiency of multi-target scattered echo calculation on an embedded real-time operating system compared to serial calculation.

The invention relates to an embedded operating system BSP intelligent development method based on a QA mode, and belongs to the field of artificial intelligence. According to the method, a BSP warehouse is used as a data set to perform fine tuning on a RoBERTa feature matching model, and the fine-tuned RoBERTa feature matching model is used to realize conversion of a task book or a demand document into a feature matrix and conversion of each drive source code label into a feature matrix; processing the feature matrix of the task book or the demand document to obtain a key feature matrix; performing similarity matching on the key feature matrix of the task book or the demand document and the feature matrix of each drive source code label of the BSP warehouse; mapping according to a feature matching result to obtain a target BSP source code framework corresponding to the task book or the demand document; and iterating continuously to improve the performance. According to the method, the process of directly converting the task book or the demand document into the BSP framework is realized, the development environment of programmers is optimized, and the development efficiency is greatly improved.