Democratizing produce waste reduction via hyperspectral imaging with low-cost home-built hyperspectral cameras

Dhruv Darbha; James P. McAllister; Dennis Dempsey; Bonggu Shim

Democratizing produce waste reduction via hyperspectral imaging with low-cost home-built hyperspectral cameras

Dhruv Darbha
, James P. McAllister
, Dennis Dempsey
, Bonggu Shim

Physics

Binghamton University

Redmond High School
State University of New York Binghamton University

Research output: Contribution to journal › Conference article › peer-review

Abstract

We demonstrate that hyperspectral imaging with a home-built low-cost portable hyperspectral camera can predict the ripeness factor of vegetables or fruits. This research aids in democratizing reduction of produce waste at the consumer level.

Original language	English
Article number	JW4A.71
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	Frontiers in Optics, FiO 2022 - Rochester, United States Duration: Oct 17 2022 → Oct 20 2022

Cite this

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title = "Democratizing produce waste reduction via hyperspectral imaging with low-cost home-built hyperspectral cameras",

abstract = "We demonstrate that hyperspectral imaging with a home-built low-cost portable hyperspectral camera can predict the ripeness factor of vegetables or fruits. This research aids in democratizing reduction of produce waste at the consumer level.",

author = "Dhruv Darbha and McAllister, \{James P.\} and Dennis Dempsey and Bonggu Shim",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s); Frontiers in Optics, FiO 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Democratizing produce waste reduction via hyperspectral imaging with low-cost home-built hyperspectral cameras

AU - Darbha, Dhruv

AU - McAllister, James P.

AU - Dempsey, Dennis

AU - Shim, Bonggu

PY - 2022

Y1 - 2022

N2 - We demonstrate that hyperspectral imaging with a home-built low-cost portable hyperspectral camera can predict the ripeness factor of vegetables or fruits. This research aids in democratizing reduction of produce waste at the consumer level.

AB - We demonstrate that hyperspectral imaging with a home-built low-cost portable hyperspectral camera can predict the ripeness factor of vegetables or fruits. This research aids in democratizing reduction of produce waste at the consumer level.

UR - https://www.scopus.com/pages/publications/85146804754

M3 - Conference article

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW4A.71

T2 - Frontiers in Optics, FiO 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Democratizing produce waste reduction via hyperspectral imaging with low-cost home-built hyperspectral cameras

Abstract

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