Exploring the role of artificial intelligence in sustainable food processing in India
Mor, Rahul S. ; Singh, Rahul ; Malik, Mohit LU
; Sarwar, Dilshad
; Pandey, Mukesh
and Singh, Harjit
(2025)
In Logforum
21(4).
p.559-574
- Abstract
Background: The Indian food industry is undergoing a significant shift towards sustainability, driven by emerging technologies such as artificial intelligence (AI). This study aims to explore the role of AI in promoting sustainable food processing in India, based on data collected from 110 businesses. Methods: Three hypotheses were developed and analyzed to assess the adoption of AI for sustainability in food processing. Statistical methods were employed to examine the correlations between AI applications and key sustainability indicators. Results: The findings reveal that AI plays a crucial role in enhancing resource efficiency, minimizing waste, and improving energy management within food processing. Firms implementing advanced... (More)
Background: The Indian food industry is undergoing a significant shift towards sustainability, driven by emerging technologies such as artificial intelligence (AI). This study aims to explore the role of AI in promoting sustainable food processing in India, based on data collected from 110 businesses. Methods: Three hypotheses were developed and analyzed to assess the adoption of AI for sustainability in food processing. Statistical methods were employed to examine the correlations between AI applications and key sustainability indicators. Results: The findings reveal that AI plays a crucial role in enhancing resource efficiency, minimizing waste, and improving energy management within food processing. Firms implementing advanced AI-driven solutions exhibit a stronger commitment to sustainable practices, highlighting the transformative potential of AI. Notable applications include predictive maintenance, quality assurance, and supply chain optimization all of which collectively contribute to operational sustainability. Conclusions: The study underscores the need for industry stakeholders to address financial constraints, workforce skill gaps, and implementation challenges in order to fully leverage AI's potential. It contributes to the growing body of literature on sustainable food systems by providing empirical evidence and practical insights for policymakers and practitioners aiming to advance sustainability through AI adoption in food processing.
(Less)
- author
- Mor, Rahul S.
; Singh, Rahul
; Malik, Mohit
LU
; Sarwar, Dilshad
; Pandey, Mukesh
and Singh, Harjit
- publishing date
- 2025-11-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence (AI), Digital transformation, Food industry, Sustainability, Sustainable food processing
- in
- Logforum
- volume
- 21
- issue
- 4
- article number
- 5
- pages
- 559 - 574
- publisher
- Poznan School of Logistics
- external identifiers
-
- scopus:105023063782
- ISSN
- 1895-2038
- DOI
- 10.17270/J.LOG.001284
- language
- English
- LU publication?
- no
- id
- b25feeec-fb59-4487-a0d1-9ec665ec91ca
- date added to LUP
- 2026-02-09 11:03:34
- date last changed
- 2026-03-06 10:05:09
@article{b25feeec-fb59-4487-a0d1-9ec665ec91ca,
abstract = {{<p>Background: The Indian food industry is undergoing a significant shift towards sustainability, driven by emerging technologies such as artificial intelligence (AI). This study aims to explore the role of AI in promoting sustainable food processing in India, based on data collected from 110 businesses. Methods: Three hypotheses were developed and analyzed to assess the adoption of AI for sustainability in food processing. Statistical methods were employed to examine the correlations between AI applications and key sustainability indicators. Results: The findings reveal that AI plays a crucial role in enhancing resource efficiency, minimizing waste, and improving energy management within food processing. Firms implementing advanced AI-driven solutions exhibit a stronger commitment to sustainable practices, highlighting the transformative potential of AI. Notable applications include predictive maintenance, quality assurance, and supply chain optimization all of which collectively contribute to operational sustainability. Conclusions: The study underscores the need for industry stakeholders to address financial constraints, workforce skill gaps, and implementation challenges in order to fully leverage AI's potential. It contributes to the growing body of literature on sustainable food systems by providing empirical evidence and practical insights for policymakers and practitioners aiming to advance sustainability through AI adoption in food processing.</p>}},
author = {{Mor, Rahul S. and Singh, Rahul and Malik, Mohit and Sarwar, Dilshad and Pandey, Mukesh and Singh, Harjit}},
issn = {{1895-2038}},
keywords = {{Artificial intelligence (AI); Digital transformation; Food industry; Sustainability; Sustainable food processing}},
language = {{eng}},
month = {{11}},
number = {{4}},
pages = {{559--574}},
publisher = {{Poznan School of Logistics}},
series = {{Logforum}},
title = {{Exploring the role of artificial intelligence in sustainable food processing in India}},
url = {{http://dx.doi.org/10.17270/J.LOG.001284}},
doi = {{10.17270/J.LOG.001284}},
volume = {{21}},
year = {{2025}},
}