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用于动态识别固体矿物肥料分配中障碍物的移动螺旋电容传感器。

Mobile Helical Capacitive Sensor for the Dynamic Identification of Obstructions in the Distribution of Solid Mineral Fertilizers.

机构信息

Graduate Program in Applied Computing (PPGCA), State University of Ponta Grossa (UEPG); Ponta Grossa (PR) 84030-900, Brazil.

Graduate Program in Electrical Engineering (PPGEE), Federal University of Technology of Parana (UTFPR), Ponta Grossa (PR) 84016-210, Brazil.

出版信息

Sensors (Basel). 2018 Nov 16;18(11):3991. doi: 10.3390/s18113991.

Abstract

Modern agriculture uses techniques and technologies that have provided farmers with increased yield and a possible reduction in costs. Optimizing the use of inputs by applying exact and accurate doses, which match the real needs of the soil, in addition to supplying the necessary nutrients for the correct development of the crops, enables a reduction in costs and environmental impacts caused by the incorrect use of products such as fertilizers and pesticides. With this background, this paper presents a study on the development of a capacitive sensor to identify the absence, presence or variations in the distribution of solid mineral fertilizers. To evaluate this sensor, eight different formulations were tested in distribution analysis with an overflow dosing mechanism, both statically and dynamically, with 2% maximum moisture variation between all samples. The identification of an absence or presence of fertilizers was successful in 100% of the experiments. Tests to identify variations in the fertilizer distribution were carried out through simulated obstruction. The sensor identified a reduction in the fertilizer flow in all experiments, obtaining numeric variations above 55%. In the fertilizer formulation identification test, only the formulations 02-28-20 and 06-21-12 in experiments carried out with the overflow dosing mechanism did not differ statistically one from another, while all other formulations presented a statistically significant difference in the ANOVA analysis and the Tukey test at 5% significance.

摘要

现代农业采用的技术为农民提供了更高的产量,并可能降低了成本。通过应用精确和准确的剂量来优化投入的使用,以匹配土壤的实际需求,除了提供作物正确发育所需的必要养分外,还可以减少因不正确使用肥料和农药等产品而造成的成本和环境影响。有鉴于此,本文介绍了一种用于识别固体矿物肥料缺失、存在或分布变化的电容式传感器的开发研究。为了评估这种传感器,在具有溢流剂量机制的分布分析中静态和动态地测试了八种不同的配方,所有样品之间的最大水分变化均为 2%。在 100%的实验中,肥料的缺失或存在的识别是成功的。通过模拟阻塞来进行识别肥料分布变化的测试。传感器在所有实验中均识别到肥料流量的减少,获得了超过 55%的数值变化。在肥料配方识别测试中,只有在溢流剂量机制下进行的实验中,配方 02-28-20 和 06-21-12 彼此之间在统计学上没有差异,而所有其他配方在方差分析和 Tukey 检验中都有统计学上的显著差异在 5%的显着性水平下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a768/6264085/c31785be860a/sensors-18-03991-g001.jpg

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