Fruit ripening using hyperspectral imaging

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

doi:10.1117/12.2270888

Fruit ripening using hyperspectral imaging

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Fifth International Conference on Optical and Photonics Engineering
Publisher	SPIE
Volume	10449
ISBN (Electronic)	9781510613720
DOIs	https://doi.org/10.1117/12.2270888
Publication status	Published - 01-01-2017
Event	5th International Conference on Optical and Photonics Engineering - Singapore, Singapore Duration: 04-04-2017 → 07-04-2017

Conference

Conference	5th International Conference on Optical and Photonics Engineering
Country/Territory	Singapore
City	Singapore
Period	04-04-17 → 07-04-17

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1117/12.2270888

Cite this

@inproceedings{36032bad0f544dba9141f8449aea1a83,

title = "Fruit ripening using hyperspectral imaging",

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.",

author = "S. Swetha and Santhosh Chidangil and Tanvi Karpate and Anand Asundi",

year = "2017",

month = jan,

day = "1",

doi = "10.1117/12.2270888",

language = "English",

volume = "10449",

booktitle = "Fifth International Conference on Optical and Photonics Engineering",

publisher = "SPIE",

address = "United States",

note = "5th International Conference on Optical and Photonics Engineering ; Conference date: 04-04-2017 Through 07-04-2017",

}

TY - GEN

T1 - Fruit ripening using hyperspectral imaging

AU - Swetha, S.

AU - Chidangil, Santhosh

AU - Karpate, Tanvi

AU - Asundi, Anand

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85034027342&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034027342&partnerID=8YFLogxK

U2 - 10.1117/12.2270888

DO - 10.1117/12.2270888

M3 - Conference contribution

AN - SCOPUS:85034027342

VL - 10449

BT - Fifth International Conference on Optical and Photonics Engineering

PB - SPIE

T2 - 5th International Conference on Optical and Photonics Engineering

Y2 - 4 April 2017 through 7 April 2017

ER -

Fruit ripening using hyperspectral imaging

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this