Revolutionalizing Agriculture: The Role of IoT, Artificial Intelligence and Advanced Analytics


Authors : Oluwakemi Temitope Olayinka

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/2xvz59eu

Scribd : https://tinyurl.com/2hct6ars

DOI : https://doi.org/10.38124/ijisrt/25mar1819

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Abstract : Agriculture is undergoing a radical transformation driven by technological innovations, particularly the Internet of Things (IoT), Artificial Intelligence (AI), and Advanced Analytics (AA). These technologies promise to improve resource management, increase crop yields, and optimize supply chains. IoT enables real-time data collection through interconnected devices like sensors and drones, while AI processes this data for informed decision-making on irrigation, fertilization, and pest control. Advanced Analytics further enhances precision farming by predicting trends and improving operational efficiency. Drawing insights from sectors such as healthcare, manufacturing, and transportation, this article highlights how these technologies are revolutionizing agriculture. It also explores future trends like autonomous machinery and AI-driven crop management models, underscoring the potential of IoT, AI, and AA to boost sustainability, productivity, and profitability in the agricultural sector.

References :

  1. Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. *Computers and Electronics in Agriculture, 143*, 23–37. https://doi.org/10.1016/j.compag.2017.09.037
  2. Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). Machine learning in agriculture: A review. *Sensors, 18*(8), 2674. https://doi.org/10.3390/s18082674
  3. Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013). Yield trends are insufficient to double global crop production by 2050. *PLoS ONE, 8*(6), e66428. https://doi.org/10.1371/journal.pone.0066428
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  7. Zhang, Y., Wang, G., Wang, J., & Wang, J. (2022). Review of precision agriculture and IoT applications in crop management. *Journal of Cleaner Production, 339*, 130718. https://doi.org/10.1016/j.jclepro.2022.130718
  • About the Author
  1. Oluwakemi Temitope Olayinka is a product manager, tech writer, and researcher with a passion for using digital technologies to solve real-world challenges in agriculture, logistics, and emerging markets. She is currently exploring the intersection of IoT, AI, and data science in sustainable farming.
  • Further Reading
  1. “The Digital Farmer: How AI is Changing Agriculture”
  2. “AgriTech Startups to Watch in 2025”
  3. “Data Privacy and Ethics in Smart Farming Systems”

Agriculture is undergoing a radical transformation driven by technological innovations, particularly the Internet of Things (IoT), Artificial Intelligence (AI), and Advanced Analytics (AA). These technologies promise to improve resource management, increase crop yields, and optimize supply chains. IoT enables real-time data collection through interconnected devices like sensors and drones, while AI processes this data for informed decision-making on irrigation, fertilization, and pest control. Advanced Analytics further enhances precision farming by predicting trends and improving operational efficiency. Drawing insights from sectors such as healthcare, manufacturing, and transportation, this article highlights how these technologies are revolutionizing agriculture. It also explores future trends like autonomous machinery and AI-driven crop management models, underscoring the potential of IoT, AI, and AA to boost sustainability, productivity, and profitability in the agricultural sector.

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