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IEEE Internet of Things J - NNMisra et al (accepted).pdf (1.43 MB)

IoT, big data and artificial intelligence in agriculture and food industry

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journal contribution
posted on 2023-05-03, 19:26 authored by N. Misra, Yash DixitYash Dixit, Ahmad Al-Mallahi, Manreet Bhullar, Rohit Upadhyay, Alex Martynenko
Internet of things (IoT) results in massive amount of streaming data, often referred to as “big data”, which brings new opportunities to monitor agricultural and food processes. Besides sensors, big data from social media is also becoming important for the food industry. In this review we present an overview of IoT, big data, and artificial intelligence (AI) and their disruptive role in shaping the future of agri-food systems. Following an introduction to the fields of IoT, big data, and AI, we discuss the role of IoT and big data analysis in agriculture (including greenhouse monitoring, intelligent farm machines, and drone-based crop imaging), supply-chain modernization, social media (for open innovation and sentiment analysis) in food industry, food quality assessment (using spectral methods and sensor fusion), and finally, food safety (using gene sequencing and blockchain based digital traceability). A special emphasis is laid on the commercial status of applications and translational research outcomes.

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© Copyright 2020 IEEE - All rights reserved.

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

IEEE

Journal title

IEEE Internet of Things Journal

ISSN

2327-4662

Citation

Misra, N. N., Dixit, Y., Al-Mallahi, A., Bhullar, M. S., Upadhyay, R., & Martynenko, A. (2022). IoT, big data and artificial intelligence in agriculture and food industry. IEEE Internet of Things Journal, 9(9), 6305-6324. doi:10.1109/JIOT.2020.2998584

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