基于大数据技术的大蒜品质智能化调控研究

Research on Intelligent Control of Garlic Quality Based on Big Data Technology

以进一步提升大蒜种植的智能性、品质性为目标,选取大数据处理及应用技术,针对大蒜种植过程的调控系统展开设计。考虑大蒜种芽、种植土壤条件等基础特点,结合不同种植调控下的大蒜培育状况,基于大数据架构平台组成,搭建用于智能化品质大蒜调控的数据处理模型。设计布局大数据应用的软件控制模块,配置相应的系统硬件结构,重点针对种芽朝向进行调控。展开品质化作业试验,结果表明:基于大数据技术的大蒜品质智能化调控系统设计,能够很好地运用数据计算与处理算法对大蒜种植运动过程各数据进行准确监测,通过及时的调控措施满足种芽朝向调整正确率要求,单粒合格率可达到95.40%,蒜芽漏充率可降低至3.15%,种植效率相对提升了6.37%,具有很好的推广价值。

With the goal of further improving the intelligence and quality of the garlic planting,selected big data processing and application technology to design and research the control system of the garlic planting process.Considering the basic characteristics of garlic sprouts and planting soil conditions,and combining the garlic cultivation conditions under different planting control,based on the big data architecture platform composition,the data processing model for intelligent quality garlic control was built,the software control module for big data application was designed and arranged,and the corresponding system hardware structure was configured.Focusing on the control of the sprout orientation,and the quality operation test was carried out,the results showed that the intelligent control system design of garlic quality based on big data technology could well use data calculation and processing algorithms to accurately monitor the data in the process of garlic planting movement,and meet requirements of the correct rate of the sprout orientation adjustment through timely control measures.The qualified rate of single seed could reach 95.40%,the leakage rate of the garlic sprout could be reduced to 3.15%,and the planting efficiency could be improved by 6.37%,which would be promoting the yield of garlic sprouts and finished products,and have a good significance for research and promotion.