Fruit ripening using hyperspectral imaging

S. Swetha, Santhosh Chidangil, Tanvi Karpate, Anand Asundi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ripening of fruits is associated with changes, in some cases subtle, in the color of the fruit. Traditionally spectroscopy used to measure these subtle changes and infer the ripeness of fruits. Spectrometers provides high-resolution but only measure a small area of the fruit. That might not be a good indicator of the overall ripeness. In this paper, we propose a compact tunable LED based hyper spectral imaging system that scans through a set of wavelengths and images, the reflectance from the whole fruit. Based on the type of fruit, only specific wavelengths need to be scanned. Following a validation using a Rubik's cube, an example banana going through its ripening cycles is used to demonstrate the system.

Original languageEnglish
Title of host publicationFifth International Conference on Optical and Photonics Engineering
PublisherSPIE
Volume10449
ISBN (Electronic)9781510613720
DOIs
Publication statusPublished - 01-01-2017
Event5th International Conference on Optical and Photonics Engineering - Singapore, Singapore
Duration: 04-04-201707-04-2017

Conference

Conference5th International Conference on Optical and Photonics Engineering
CountrySingapore
CitySingapore
Period04-04-1707-04-17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Swetha, S., Chidangil, S., Karpate, T., & Asundi, A. (2017). Fruit ripening using hyperspectral imaging. In Fifth International Conference on Optical and Photonics Engineering (Vol. 10449). [104492O] SPIE. https://doi.org/10.1117/12.2270888