Entry for:Hitachi Social Innovation Awards
We propose and demonstrate smartphone-based Internet-of-Thing (IoT) compatible, low-cost optical instruments for enabling ubiquitous sensing and quality assessment of many agricultural items through their life cycle from production to retail. Analysis during production, processing, storing or even purchasing at supermarkets supported with internet connectivity between farmers, traders and consumers will provide a revolution in food supply through online, global markets. The work is based on the lab-in-a-phone technology developed at the interdisciplinary photonics laboratories (iPL) within the University of Sydney and the University of Technology Sydney in Australia, led by Prof. John Canning.
The hand-held device is a mini-spectrometer, entirely powered by a smartphone’s battery, optical source (white/UV LEDs), in-built camera detector and a low-cost dispersive element within a compact attachment. A customised smartphone app allows detection of the light and processing the spectrum which represents a unique fingerprint of each of the different agricultural products based on their characteristics chemical competition. By integrating a long optical fibre bundle on the light propagation path, the technology provides measurements at difficult-to-access places, such as the interior or back of a crop bushel or top of a tree or the inside of shipping cartons and containers. A 3D printed small house holds all these components combined with a smartphone camera unit, making it robust, portable and easy to use by farmers, traders, quality assurance managers or customer.
By way of example, the unique fluorescence band of extra virgin olive oil measured by the smartphone is used to allow distinction between low quality olive oils and extra virgin olive oils. In another example, fruit quality is assessed directly through component spectral bands of apples. The technology can be applied across all agricultural food products including honey, milk, wine, meat and more.
2. Additional Details
Please look at our publications for details of some of the initial demonstrations of the smartphone based sensing.
- M. Hossain and J. Canning et al, Optics Letters, 41(10), 2237-2240 (2016). Link: https://www.osapublishing.org/ol/abstract.cfm?uri=ol-41-10-2237
- M. Hossain and J. Canning et al, Photonic Sensors, 5(4), 289-297 (2015). Link: http://link.springer.com/article/10.1007/s13320-015-0256-x
- M. Hossain and J. Canning et al, Optics Letters, 40(8), 1737-1740 (2015). Link: https://www.osapublishing.org/ol/abstract.cfm?uri=ol-40-8-1737
- M. Hossain and J. Canning et al, IEEE Sensors Journal, 15(9), 5095-5102 (2015). Link: http://ieeexplore.ieee.org/document/6916991/
- M. Hossain and J. Canning et al, presented in the Australian Conference on Optical Fibre Technology, Sydney, Australia (2016). Link: https://www.osapublishing.org/abstract.cfm?uri=ACOFT-2016-AT3C.3
- M. Hossain and J. Canning et al, Submitted in the 25th Optical Fiber Sensor Conference.
Postgraduate Researcher (The University of Sydney)