Fruit ripening using hyperspectral imaging

Swetha .; Santhosh Chidangil; Tanvi Karpate; Anand Asundi

doi:10.1117/12.2270888

13 June 2017 Fruit ripening using hyperspectral imaging

Swetha ., Santhosh Chidangil, Tanvi Karpate, Anand Asundi

Proceedings Volume 10449, Fifth International Conference on Optical and Photonics Engineering; 104492O (2017) https://doi.org/10.1117/12.2270888
Event: Fifth International Conference on Optical and Photonics Engineering, 2017, Singapore, Singapore

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.

Citation Download Citation

Swetha ., Santhosh Chidangil, Tanvi Karpate, and Anand Asundi "Fruit ripening using hyperspectral imaging", Proc. SPIE 10449, Fifth International Conference on Optical and Photonics Engineering, 104492O (13 June 2017); https://doi.org/10.1117/12.2270888

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