Multiplex (sensor)
Topic: Engineering
From HandWiki - Reading time: 2 min
Multiplex sensor is a hand-held multiparametric optical sensor developed by Force-A. The sensor is a result of 15 years of research on plant autofluorescence conducted by the CNRS (National Center for Scientific Research) and University of Paris-Sud Orsay.[1][2] It provides accurate and complete information on the physiological state of the crop, allowing real-time and non-destructive measurements of chlorophyll and polyphenols contents in leaves and fruits.
Technology
Multiplex assesses the chlorophyll and polyphenols indices by making use of two attributes of plant fluorescence: the effect of fluorescence re-absorption by chlorophyll and screening effect of polyphenols. The sensor is an optical head which contains:
- Optical sources (UV, blue, green and red)
- Detectors (blue-green or yellow, red and far-red (NIR))
Applications
Alongside with other data, Multiplex is designed to provide input for decision support systems (DSS) for a range of crops, including:
- Fertilization applications[3]
- Crop quality assessments (nitrogen status,[4][5] maturity,[6] freshness[7] and disease detection[8])
As a standalone sensor, Multiplex is a tool for rapid collection of information concerning chlorophyll and flavonoids contents of the plant to be applied on ecophysiological research.
References
- ↑ Four innovative start-ups stemming from CNRS at the European Research and Innovation Exhibition 2009
- ↑ ESE Presentation - Lab. Ecologie, Systématique, Evolution - Technology Transfer
- ↑ Lejealle, S., Evain, S., Zerovic, Z.G. (2010) Multiplex: a new diagnostic tool for management of nitrogen fertilization of turfgrass. ICPA 2010, Denver Co USA
- ↑ Agati, G., Foschi, L., Grossi, N., Guglielminetti, L., Cerovic, Z.G., Volterrani. 2013 Fluorescence-based versus reflectance proximal sensing of nitrogen content in Paspalum vaginatum and Zoysia matrella turfgrasses European Journal of Agronomy. 45:39?51
- ↑ Ben Abdallah, F. & Goffart, J.P. 2012 Potential indicators based on leaf flavonoids content for the evaluation of potato crop nitrogen status 11th ICPA Indianapolis Mi USA: pp. 1-18
- ↑ Naïma B. G., N. Moise, G. Latouche, V. Martinon, L. Mercier, E. Besançon and Z.G. Cerovic Assessment of grapevine maturity using a new portable sensor: non-destructive quantification of anthocyanins J. Int. Sci. Vigne Vin, special issue Macrowine, June 2010, 1-8
- ↑ R.G.V. Bramley, M. L. Moigne, S. Evain, J. Ouzman, L. Florin, E.M. Fadaili, C.J. Hinze and Z.G. Cerovic. 2011 On-the-go sensing of grape berry anthocyanins during commercial harvest: development and prospects Aust. J. Grape Wine Res. doi:10.1111/j.1755-0238.2011.00158.x.
- ↑ Sankaran, S., Ehsani, R. (2013) Detection of Huanglongbing-Infected Citrus Leaves Using Statistical Models with a Fluorescence Sensor. Society for Applied Spectroscopy, doi:10.1366/12-06790.
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