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Proceeding Paper

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

by
Aníbal Filipe Silva
1,2,
Klara Löfkvist
3,
Mikael Gilbertsson
4,
Erik Van Os
5,
Geert Franken
5,
Jos Balendonck
5,
Tatiana M. Pinho
6,
José Boaventura-Cunha
6,7,
Luís Coelho
2,
Pedro Jorge
1,2 and
Rui Costa Martins
2,*
1
Faculty of Sciences of the University of Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal
2
Centre for Applied Photonics, INESC TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
3
HIR Skåne AB Borgeby Slottsväg 11, 237 91 Bjärred, Sweden
4
RISE Food and Agriculture, Scheelevägen 17, 223 70 Lund, Sweden
5
Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
6
Centre for Robotics in Industry and Intelligent Systems, INESC TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
7
School of Science and Technology, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal
*
Author to whom correspondence should be addressed.
†
Presented at the 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry, 1–15 July 2021; Available online: https://csac2021.sciforum.net/.
Chem. Proc. 2021, 5(1), 88; https://doi.org/10.3390/CSAC2021-10448
Published: 30 June 2021
(This article belongs to the Proceedings of The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry)
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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.
Keywords: nitrogen; phosphorus; potassium; Hoagland; nutrient; spectrophotometry; interferences nitrogen; phosphorus; potassium; Hoagland; nutrient; spectrophotometry; interferences

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MDPI and ACS Style

Silva, A.F.; Löfkvist, K.; Gilbertsson, M.; Os, E.V.; Franken, G.; Balendonck, J.; Pinho, T.M.; Boaventura-Cunha, J.; Coelho, L.; Jorge, P.; et al. Hydroponics Monitoring through UV-Vis Spectroscopy and Artificial Intelligence: Quantification of Nitrogen, Phosphorous and Potassium. Chem. Proc. 2021, 5, 88. https://doi.org/10.3390/CSAC2021-10448

AMA Style

Silva AF, Löfkvist K, Gilbertsson M, Os EV, Franken G, Balendonck J, Pinho TM, Boaventura-Cunha J, Coelho L, Jorge P, et al. Hydroponics Monitoring through UV-Vis Spectroscopy and Artificial Intelligence: Quantification of Nitrogen, Phosphorous and Potassium. Chemistry Proceedings. 2021; 5(1):88. https://doi.org/10.3390/CSAC2021-10448

Chicago/Turabian Style

Silva, Aníbal Filipe, Klara Löfkvist, Mikael Gilbertsson, Erik Van Os, Geert Franken, Jos Balendonck, Tatiana M. Pinho, José Boaventura-Cunha, Luís Coelho, Pedro Jorge, and et al. 2021. "Hydroponics Monitoring through UV-Vis Spectroscopy and Artificial Intelligence: Quantification of Nitrogen, Phosphorous and Potassium" Chemistry Proceedings 5, no. 1: 88. https://doi.org/10.3390/CSAC2021-10448

APA Style

Silva, A. F., Löfkvist, K., Gilbertsson, M., Os, E. V., Franken, G., Balendonck, J., Pinho, T. M., Boaventura-Cunha, J., Coelho, L., Jorge, P., & Martins, R. C. (2021). Hydroponics Monitoring through UV-Vis Spectroscopy and Artificial Intelligence: Quantification of Nitrogen, Phosphorous and Potassium. Chemistry Proceedings, 5(1), 88. https://doi.org/10.3390/CSAC2021-10448

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