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Future IIoT Networks for Agriculture

Odedeyi, Temitope; (2025) Future IIoT Networks for Agriculture. Presented at: 2025 IEEE International Symposium on Circuits and Systems (ISCAS), London, UK. Green open access

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Abstract

Feeding a projected global population of 9.7 billion by 2050 will require smarter, data-driven agricultural systems that can respond to both long-term climate variability and short-term production shocks. This presentation explores how future-ready Industrial Internet of Things (IIoT) networks can transform agricultural practices, with a focus on cassava—a climate-resilient, yet underutilised crop critical to food and industrial systems in tropical regions. Using cassava as a design case, the work highlights the development of an integrated IIoT ecosystem that combines environmental sensing, mobile applications, and data dashboards to support yield modelling, crop quality assessment, and system-wide decision support. Particular attention is given to the role of environmental sensors and predictive analytics in enabling early warning for crop stress and yield loss. The platform integrates soil, atmospheric, and farm-level data to support timely and adaptive interventions. This case demonstrates that context-aware, scalable, and interoperable IIoT platforms are essential to address the diverse challenges facing global agriculture—ranging from low productivity to market exclusion—and to deliver inclusive solutions tailored to local realities.

Type: Conference item (Presentation)
Title: Future IIoT Networks for Agriculture
Event: 2025 IEEE International Symposium on Circuits and Systems (ISCAS)
Location: London, UK
Dates: 25 - 28 May 2025
Open access status: An open access version is available from UCL Discovery
Publisher version: https://2025.ieee-iscas.org/
Language: English
Keywords: Smart agriculture, Internet of Things (IoT), Artificial Intelligence
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10209277
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