Hydroponics Monitoring through UV-Vis Spectroscopy and Artificial Intelligence: Quantification of Nitrogen, Phosphorous and Potassium

Aníbal Silva, K. Löfkvist, M. Gilbertsson, E. Os, G. Franken, J. Balendonck, Tatiana M. Pinho, J. Boaventura-Cunha, L. Coelho, P. Jorge, R. Martins
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引用次数: 5

Abstract

In hydroponic cultivation, monitoring and quantification of nutrients is of paramount importance. Precision agriculture has an urgent need for measuring fertilization and plant nutrient uptake. Reliable, robust and accurate sensors for measuring nitrogen (N), phosphorus (P) and potassium (K) are regarded as critical in this process. It is vital to understand nutrients’ interference; thusly, a Hoagland fertilizer solution-based orthogonal experimental design was deployed. Concentration ranges were varied in a target analyte-independent style, as follows: [N] = [103.17–554.85] ppm; [P] = [15.06–515.35] ppm; [K] = [113.78–516.45] ppm, by dilution from individual stock solutions. Quantitative results for N and K, and qualitative results for P were obtained.
通过紫外可见光谱和人工智能监测水培:氮、磷和钾的定量
在水培栽培中,养分的监测和定量是至关重要的。精准农业迫切需要对施肥和植物养分吸收进行测量。在这一过程中,用于测量氮(N)、磷(P)和钾(K)的可靠、坚固和精确的传感器被认为是至关重要的。了解营养物质的干扰是至关重要的;因此,采用基于霍格兰肥料溶液的正交试验设计。浓度范围的变化与目标分析物无关,如下:[N] = [103.17-554.85] ppm;[P] = [15.06-515.35] ppm;[K] = [113.78-516.45] ppm,由单个原液稀释。得到了氮、钾的定量结果和磷的定性结果。
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