基于大数据分析的可变速率施肥机研究

Fang Gao, Hongchang Li
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引用次数: 0

摘要

为了提高智能施肥的效果,本文根据实际施肥需求,结合大数据技术进行数据分析,设计了一种可用于混合施肥的可变施肥机械结构,实现多作物混合施肥。此外,从精确施肥的角度出发,结合可变施肥的实际需要构建控制系统,并采用自适应联邦滤波结构解决设备误差对系统位置估计的影响。此外,本文还解决了传统施肥中过量偏施、肥料利用率低的问题,以及由此产生的废弃物、环境污染、农产品质量差等问题。在此基础上,设计制造了双变量施用试验装置,并在试验装置上进行了肥料排放试验。最后,运用大数据技术对可变施肥操作机械的实验数据进行分析。从实验研究中可以看出,本文设计的施肥操作机械的效果符合实际需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on variable rate fertilisation machine based on big data analysis
ABSTRACT In order to improve the effect of intelligent fertilisation, according to actual fertilisation needs, this paper combines big data technology to perform data analysis, and designs a variable fertilisation mechanical structure that can be used for mixed fertilisation to realise mixed fertilisation of multiple crops. Moreover, from the perspective of precise fertilisation, this paper combines the actual needs of variable fertilisation to construct a control system, and adopts an adaptive federated filter structure to solve the influence of equipment errors on system position estimation. In addition, this paper solves the problems of excessive partial application and low fertiliser utilisation in traditional fertilisation, as well as the resulting waste, environmental pollution, and poor quality of agricultural products. Furthermore, this paper designs and manufactures a dual-variable application test device, and conducted a fertiliser discharge test on the test device. Finally, this paper uses big data technology to analyze the experimental data of variable fertilisation operation machinery. From the experimental research, it can be seen that the effect of the fertilisation operation machinery designed in this paper meets actual needs.
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