Odedeyi, Temitope;
Kolawole, Olalekan;
Ugoji, Chike;
Ayankanmi, Toye;
Okhuoya, Oziegbe;
Rabbi, Ismail;
Onwona-Hwesofour Asante, Kwaku;
(2025)
Multi-source Data Integration and IoT-Based Sensing for Crop Yield Modelling and Optimisation.
In:
2025 IEEE International Conference on Smart Computing (SMARTCOMP).
IEEE: Cork, Ireland.
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Abstract
This paper presents the development and implementation of an IoT-enabled environmental sensing system designed for crop yield modelling and optimisation across diverse agro-ecological zones in Nigeria. The system integrates in-situ soil and atmospheric sensors, drone-based observations, and farm-level data using a multi-layered communication architecture, including cellular, Long Range Wide Area Network (LoRaWAN), and novel UAV-based mesh networks. Preliminary analysis of the collected data reveals strong correlations between cassava fresh yield and environmental factors such as soil water content, temperature, and electrical conductivity. The system demonstrates the potential of data-driven approaches to inform site-specific agronomic decisions and breeding strategies. While the system is still in the early phase of data collection, future work will involve expanded data integration, AI-based predictive modelling, and enhanced decision support for climate-smart agriculture.
| Type: | Proceedings paper |
|---|---|
| Title: | Multi-source Data Integration and IoT-Based Sensing for Crop Yield Modelling and Optimisation |
| Event: | 2025 IEEE International Conference on Smart Computing (SMARTCOMP) |
| Location: | Cork, Ireland |
| Dates: | 16 Jun 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SMARTCOMP65954.2025.00094 |
| Publisher version: | https://doi.org/10.1109/SMARTCOMP65954.2025.00094 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Precision agriculture, Climate-smart agriculture, Crop yield modelling, Environmental monitoring, IoT, Sensor networks, Cloud analytics |
| 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/10209270 |
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