Non-destructive method for assessing fruit quality using modified depthwise separable convolutions on hyperspectral images

Divyani Tyagi; Prakash Duraisamy; Tushar Sandhan

doi:10.1117/12.3015521

6 June 2024 Non-destructive method for assessing fruit quality using modified depthwise separable convolutions on hyperspectral images

Divyani Tyagi, Prakash Duraisamy, Tushar Sandhan

Author Affiliations +

Proceedings Volume 13060, Sensing for Agriculture and Food Quality and Safety XVI; 1306005 (2024) https://doi.org/10.1117/12.3015521
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Hyperspectral imaging records data over a broad range of electromagnetic spectrum wavelengths and presents a viable option for fruit maturity detection when incorporated with deep neural networks. This paper focuses on improving the accuracy of the Kiwi and Avocado fruit hyperspectral dataset by introducing a modified version of depthwise separable convolution and comparing the results with state-of-the-art models to prove our model’s reliability. The research aims to use the proposed model to predict the fruits’ ripeness, firmness, and sugar content levels.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Divyani Tyagi, Prakash Duraisamy, and Tushar Sandhan "Non-destructive method for assessing fruit quality using modified depthwise separable convolutions on hyperspectral images", Proc. SPIE 13060, Sensing for Agriculture and Food Quality and Safety XVI, 1306005 (6 June 2024); https://doi.org/10.1117/12.3015521

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available