Author(s)

Phumla P. DLAMINI,  Swelihle MSOMI, Tinashe CHIZEMA, Darelle VAN GREUNEN

Affiliation(s)

Centre for Community Technology (CCT), Nelson Mandela University (NMU), Gqeberha, Summerstrand 6001, Eastern Cape, South Africa.

Corresponding Author

Phumla P. DLAMINI

ABSTRACT

Small-scale farmers in Africa often face challenges in monitoring soil and environmental parameters essential for informed agricultural decision-making. This study addresses this issue by developing a cost-effective soil monitoring system utilizing Wireless Sensor Networks (WSN). Our approach integrates real-time data analysis and visualization components to offer timely insights into soil conditions, weather patterns, and crop development, thereby enhancing agricultural decision-making processes. While commercial soil monitoring systems exist, their high cost presents a barrier to widespread adoption, particularly in African contexts. To address this issue, our proposed system utilizes WSN sensor nodes transmitting data to a central database via Arduinos functioning as web servers. This innovative approach extends monitoring capabilities to remote areas beyond the reach of individual nodes, thus promoting accessibility and affordability through the utilization of open-source software. In conclusion, our study aims to revolutionize farming practices in Africa by providing an affordable solution that empowers farmers with actionable insights for optimized agricultural outcomes, thereby aligning with the distinctive African perspective on the theory and practice of information systems.

KEYWORDS

Small-scale farmers; Wireless sensing networks; Soil monitoring systems; Affordable technology; Wireless Sensor Networks (WSN); Agricultural data; Open-source software

CITE THIS PAPER

Phumla P. DLAMINI,  Swelihle MSOMI, Tinashe CHIZEMA, Darelle VAN GREUNEN. Implementing a cost-effective soil monitoring system using wireless sensor networks to enhance farming practices for small-scale farmers in developing economy countries. Journal of Linguistic and Humanities. 2024, 2(1): 1-10. DOI: 10.61784/jlh654321.

REFERENCES

[1] Payero, J. O., Nafchi, A. M., Davis, R., & Khalilian, A. An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors. Open Journal of Soil Science, 2017, 07(10), 288–300. https://doi.org/10.4236/ojss.2017.710021

[2] Sui, R., & Baggard, J. Wireless sensor network for monitoring soil moisture and weather conditions. Applied Engineering in Agriculture, 2015, 31(2), 193–200. https://doi.org/10.13031/aea.31.10694

[3] Kanagaraj, E., Kamarudin, L. M., Zakaria, A., Gunasagaran, R., & Shakaff, A. Y. M. Cloud-based remote environmental monitoring system with distributed WSN soil monitoring systems. 2015 IEEE SENSORS - Proc, 2015. https://doi.org/10.1109/ICSENS.2015.7370449

[4] Panigrahi, C. R., Sarkar, J. L., Pati, B., Buyya, R., Mohapatra, P., & Majumder, A. Mobile Cloud Computing and Wireless Sensor Networks: A review, integration architecture, and future directions. IET Networks,  2021, 10(4), 141–161. https://doi.org/10.1049/ntw2.12013

[5] Hyma, B., & Js, A. WSN and GPS Based Crop Monitoring and Automated Irrigation System, 2018, 8(8), 16–24. https://doi.org/10.9790/9622-0808031624

[6] Islam, R. U. Wireless Sensor Network Based Flood Prediction Using Belief Rule Based Expert System, 2017. Retrieved from http://www.diva-portal.org/smash/get/diva2:1155122/FULLTEXT01.pdf

[7] Masinde, M., & Bagula, A. A calibration report for wireless sensor-based weatherboards. Journal of Sensors and Actuator Networks, 2015, 4(1), 30–49. https://doi.org/10.3390/jsan4010030

[8] Id, H. S. U., & Discipline, A. Shubham Sharma Under the Guidance of: Miss Himanshu Sharma U. ID – 16833 Designation – Assistant Professor Discipline of CSE / IT Lovely School of Technology & Sciences, 2014, 2(4), 13–19.

[9] Rahmat, M., Azis, M., & Rustami, E. Low Cost Configuration of Data Acquisition System for Wireless Sensor Network, 2012.

[10] Dhakate, K., Kambe, S., & Meshram, S. A Review on Arduino Based Smart Irrigation System, 2018, 4(2), 623–630.

[11] Yadav, P. N., & Chakrisreedhar, S. IoT Based Smart Irrigation Using Water Flow Sensors, 2018, 4(8), 301–308.

[12] Cao-Hoang, T., Van Trong Tinh, P., & Duy Can, N. Design of a Cost Effective Soil Monitoring System to Support Agricultural Activities for Smallholder. Journal of Information Communication Technology and Digital Convergence, 2017, 2(2), 1–5.

[13] Samuji, F. Flood Monitoring And Alert System Using Wireless Sensor Network, 2016. Retrieved from http://utpedia.utp.edu.my/17100/1/final dissertation .pdf

[14] Kodali, R. K., & Mahesh, K. S. Low cost implementation of smart home automation. 2017 International Conference on Advanced Computing and Communication Systems (ICACCS), 2017, 461–466. https://doi.org/10.1109/ICACCI.2017.8125883

[15] Pal, A., Singh, A., & Rai, B. GSM Based Home Automation, Safety and Security System Using Android Mobile Phone. International Journal of Engineering Research, 2015, V4(05). https://doi.org/10.17577/ijertv4is050648

[16] Papoutsidakis, M., Chatzopoulos, A., Drosos, C., & Kalovrextis, K. An Arduino Family Controller and its Interactions via an Intelligent Interface. International Journal of Computer Applications, 2018, 179(30), 5–8. https://doi.org/10.5120/ijca2018916684