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Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications Cover

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications

Journal of the National Science Foundation of Sri Lanka
Volume 50 (2022): Issue 0
By: ,  ,  ,  ,  ,  ,  ,   and    
Open Access
|Nov 2022
Authors

Authors

N. Ranasinghe

nsranasinghe@student.unimelb.edu.au

University of Melbourne

A. Ramanan

a.ramanan@univ.jfn.ac.lk

University of Jaffna

S. Fernando

saman@unimelb.edu.au

University of Moratuwa

P.N. Hameed

saman@unimelb.edu.au

University of Ruhuna

D. Herath

damayanthiherath@eng.pdn.ac.lk

University of Peradeniya

T. Malepathirana

saman@unimelb.edu.au

University of Melbourne

P. Suganthan

saman@unimelb.edu.au

School of Electrical Electronic Engineering, Nanyang Technological University

M. Niranjan

saman@unimelb.edu.au

University of Southampton

S. Halgamuge

saman@unimelb.edu.au

University of Melbourne
DOI: https://doi.org/10.4038/jnsfsr.v50i0.11249 | Journal eISSN: 2362-0161
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Language: English
Page range: 263 - 276
Published on: Nov 10, 2022
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
Disease detection in agriculture,
drug repositioning,
food processing,
interpretation of neural networks,
metagenomics

© 2022 N. Ranasinghe, A. Ramanan, S. Fernando, P.N. Hameed, D. Herath, T. Malepathirana, P. Suganthan, M. Niranjan, S. Halgamuge, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons License.

Volume 50 (2022): Issue 0
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