Smart Soil Monitoring Systems: Challenges and Strategic Solutions for Enhanced Adoption

Nuhu Abdullahi; Musa Samaila Yerima

doi:10.56201/wjimt.v9.no12.2025.pg245.258

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Smart Soil Monitoring Systems: Challenges and Strategic Solutions for Enhanced Adoption

Nuhu Abdullahi, Musa Samaila Yerima

Abstract

Smart Soil Monitoring Systems represent a key innovation in precision agriculture, enabling continuous monitoring of soil parameters such as moisture, pH, nutrient content, temperature, and salinity. These systems integrate Internet of Things technologies, wireless sensor networks, and data analytics to provide real-time insights that support data-driven decision-making, optimize resource use, and enhance crop productivity. Despite their potential, the adoption of SSMS in developing institutions, including Federal Polytechnic Bali , remains limited due to financial constraints, inadequate technical skills, low awareness, and infrastructural challenges such as unreliable internet connectivity and power supply. The high cost of devices, lack of training, and insufficient institutional policies further impede practical implementation in teaching, research, and extension activities. This study employed a descriptive survey design targeting academic and technical staff in FPB’s agricultural departments. Data collected via a structured questionnaire were analyzed using descriptive statistics, with mean scores indicating key challenges and potential strategies. Findings revealed that high device costs, poor network infrastructure, and low technical capacity were the most critical barriers. To address these, respondents emphasized capacity-building workshops, improved digital infrastructure, awareness campaigns, funding support, and policy frameworks as strategic interventions. The study concludes that enhancing SSMS adoption requires integrated solutions addressing economic, technical, and institutional barriers. Implementation of these strategies is expected to strengthen hands-on learning, improve research outputs, and promote sustainable, technology-driven agriculture at FPB. The study contributes to understanding practical adoption challenges of smart agricultural technologies in resource-constrained educational settings.

Keywords

Smart Soil Monitoring SystemsIoT in AgricultureTechnology AdoptionPrecision AgricultureAgricultural Education I.

References

Adeleke, A. O., & Idowu, T. A. (2024). Internet-of-Things applications for data-driven agriculture in Nigeria: Opportunities and constraints. African Journal of Agricultural Technology, 12(1), 44–57. Ahmad, S., Kaushik, R., Ghatuary, R., Kotiyal, A., Jarial, S., & Kumar, R. (2025). Utilizing IoT and AI for soil health monitoring and enhancement in sustainable agriculture. In IoT and advanced intelligence computation for smart agriculture (1st ed., pp. 1–16). CRC Press. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T Alawode, A., Blessing, A. O., & Chiamaka, O. T. (2024). Integrating IoT and AI in sustainable agriculture to mitigate environmental risk and financial misuse. International Journal of Research Publication and Reviews, 5(12), 2810–2828. Babalola, O. A., & Yusuf, M. T. (2023). ICT competency and technological adoption among Nigerian polytechnic lecturers. Journal of Digital Learning in Tertiary Education, 8(2), 112–124. Chukwu, E. K., & Ali, M. S. (2024). Policy frameworks for digital transformation in Nigerian tertiary institutions. Educational Technology Review, 19(1), 77–92. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 Dlamini, P. P., Msomi, S., Chizema, T., & Van Greunen, D. (2024). Implementing a cost- effective soil monitoring system using wireless sensor networks to enhance farming practices for small-scale farmers in developing economy countries. World Journal of Agriculture and Forestry Sciences. https://doi.org/10.61784/wjafsv2n2107 Eze, C. N., & Ogwu, J. E. (2023). Barriers to agricultural innovation adoption among farmers in Nigeria. Agricultural Extension Journal, 11(3), 24–36. Kumar, S., & Singh, R. (2022). Smart soil moisture systems for improved crop yield: A review. International Journal of Smart Agriculture, 6(2), 96–108. Ojo, A. (2022). Evaluating ICT infrastructure for technological integration in Nigerian polytechnics. Journal of Higher Education Systems, 15(4), 159–170. Olasanmi, O. J., & Popoola, A. (2023). Implementation of digital tools in Nigerian polytechnic education: Progress and challenges. Nigerian Journal of Technical Education, 7(1), 25– 39. Pandey, V., & Verma, P. (2021). Smart soil monitoring for sustainable farming. Tech-Agric Research, 10(4), 51–60. Patil, S., Rane, P., & Rao, V. (2022). Role of IoT-based sensors in modern agriculture. Sensors and Systems, 14(2), 71–85. Ramesh, S., & Divya, P. (2023). Real-time smart soil sensors: A tool for precision agriculture. Journal of Emerging Farming Technologies, 9(1), 14–23. Rao, K., & Patil, S. (2023). Professional development and agricultural technology uptake. Education for Sustainable Development Journal, 4(2), 100–113. Rauf, S., Al-Khayri, J. M., Zaharieva, M., Monneveux, P., & Khalil, F. (n.d.). Advances in genomic approaches for improving drought adaptation in crops. Journal information unavailable. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. Sharma, R., Rallapalli, S., & Magner, J. (n.d.). Optimizing water-efficient agriculture: Evaluating the sustainability of soil management and irrigation synergies using fuzzy extent analysis. Journal information unavailable. Tarimo, B., & Mtebe, J. (2020). Readiness for technology adoption in East African tertiary institutions. Journal of Learning Technologies, 16(3), 200–213. Wen, G., Cao, Y., & Wei, X. (2025). The data-driven analysis of soil health and crop adaptability: Technologies, impacts, and optimization strategies. Advances in Resources Research, 5(1), 350–368. Zhang, X., Yang, P., & Lu, B. (2024). Artificial intelligence in soil management: The new frontier of smart agriculture. Advances in Resources Research, 4(2), 231 Zhang, L., Wu, H., & Wang, Y. (2023). Hands-on IoT learning for agricultural students: A teaching innovation. International Journal of Agricultural Education, 28(2), 83–94.

Smart Soil Monitoring Systems: Challenges and Strategic Solutions for Enhanced Adoption

Abstract

Keywords

References

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