Designing an IoT Agriculture Monitoring System for Improving Farmer’s Acceptance of Using IoT Technology
Received: 4 December 2021 | Revised: 14 December 2021 and 18 December 2021 | Accepted: 21 December 2021 | Online: 28 December 2021
Corresponding author: S. A. B. Anas
Abstract
This paper describes Agri-Snaps, an Internet of Things (IoT) agriculture monitoring system designed to improve farmers’ acceptance of using IoT technology in their farm field. Agri-Snaps consists of four dedicated sensor circuit modules that integrate magnetic pogo pin connectors for easier assembly with the controller circuit module. This work investigated how such a design can enable the farmers to understand how 1) to assemble, 2) self-troubleshoot, and 3) maintain the monitoring system independently without requiring expertise on the farm site. User-experience testing was conducted with ten participants to validate Agri-Snaps’s viability. The results showed that those participants positively rated Agri-Snaps as attractive, easy to understand and assemble, exciting, and innovative compared to the typical agriculture monitoring systems.
Keywords:
internet of things, agriculture, industrial design, sensors, embedded system, human-computer interactionDownloads
References
V. Narayanamurthy and F. Samsuri, "Perspectives of a Farmer Digital Expert Assistant System," Engineering, Technology & Applied Science Research, vol. 6, no. 2, pp. 972–975, Apr. 2016. DOI: https://doi.org/10.48084/etasr.642
K. G. Arvanitis and E. G. Symeonaki, "Agriculture 4.0: The Role of Innovative Smart Technologies Towards Sustainable Farm Management," The Open Agriculture Journal, vol. 14, no. 1, Aug. 2020. DOI: https://doi.org/10.2174/1874331502014010130
D. Glaroudis, A. Iossifides, and P. Chatzimisios, "Survey, comparison and research challenges of IoT application protocols for smart farming," Computer Networks, vol. 168, Feb. 2020, Art. no. 107037. DOI: https://doi.org/10.1016/j.comnet.2019.107037
N. C. Eli-Chukwu, "Applications of Artificial Intelligence in Agriculture: A Review," Engineering, Technology & Applied Science Research, vol. 9, no. 4, pp. 4377–4383, Aug. 2019. DOI: https://doi.org/10.48084/etasr.2756
I. Mat, M. R. Mohd Kassim, A. N. Harun, and I. M. Yusoff, "Smart Agriculture Using Internet of Things," in 2018 IEEE Conference on Open Systems (ICOS), Langkawi, Malaysia, Nov. 2018, pp. 54–59. DOI: https://doi.org/10.1109/ICOS.2018.8632817
M. S. A. Mahmud, S. Buyamin, M. M. Mokji, and M. S. Z. Abidin, "Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation," Indonesian Journal of Electrical Engineering and Computer Science, vol. 10, no. 3, pp. 847–852, Jun. 2018. DOI: https://doi.org/10.11591/ijeecs.v10.i3.pp847-852
M. R. M. Kassim, I. Mat, and I. M. Yusoff, "Applications of Internet of Things in Mushroom Farm Management," in 2019 13th International Conference on Sensing Technology (ICST), Sydney, Australia, Dec. 2019, pp. 1–6. DOI: https://doi.org/10.1109/ICST46873.2019.9047702
S. A. H. Z. Abidin and S. N. Ibrahim, "Web-based monitoring of an automated fertigation system: An IoT application," in 2015 IEEE 12th Malaysia International Conference on Communications (MICC), Kuching, Malaysia, Nov. 2015, pp. 1–5. DOI: https://doi.org/10.1109/MICC.2015.7725397
F. A. Khan, A. Abubakar, M. Mahmoud, M. A. Al-Khasawneh, and A. A. Alarood, "Cotton Crop Cultivation Oriented Semantic Framework Based on IoT Smart Farming Application," International Journal of Engineering and Advanced Technology, vol. 8, no. 3, pp. 480–484, Feb. 2019.
I. Mat, M. R. Mohd Kassim, A. N. Harun, and I. Mat Yusoff, "IoT in Precision Agriculture applications using Wireless Moisture Sensor Network," in 2016 IEEE Conference on Open Systems (ICOS), Langkawi, Malaysia, Oct. 2016, pp. 24–29. DOI: https://doi.org/10.1109/ICOS.2016.7881983
M. I. H. bin Ismail and N. M. Thamrin, "IoT implementation for indoor vertical farming watering system," in 2017 International Conference on Electrical, Electronics and System Engineering (ICEESE), Kanazawa, Japan, Nov. 2017, pp. 89–94. DOI: https://doi.org/10.1109/ICEESE.2017.8298388
M. F. Mohamad Jaafar, H. Hussin, R. Rosman, T. Y. Kheng, and M. Ja’afar Hussin, "Smart Cocoa Nursery Monitoring System Using IRT for Automatic Drip Irrigation," in 2019 IEEE 13th International Conference on Telecommunication Systems, Services, and Applications (TSSA), Bali, Indonesia, Oct. 2019, pp. 108–113. DOI: https://doi.org/10.1109/TSSA48701.2019.8985463
S. Zafar, G. Miraj, R. Baloch, D. Murtaza, and K. Arshad, "An IoT Based Real-Time Environmental Monitoring System Using Arduino and Cloud Service," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3238–3242, Aug. 2018. DOI: https://doi.org/10.48084/etasr.2144
L. Kuo, T. Chang, and C.-C. Lai, "Research on product design modeling image and color psychological test," Displays, vol. 71, Jan. 2022, Art. no. 102108. DOI: https://doi.org/10.1016/j.displa.2021.102108
S. J. P. McDougall, O. de Bruijn, and M. B. Curry, "Exploring the effects of icon characteristics on user performance: The role of icon concreteness, complexity, and distinctiveness," Journal of Experimental Psychology: Applied, vol. 6, no. 4, pp. 291–306, 2000. DOI: https://doi.org/10.1037/1076-898X.6.4.291
O. Visser, S. R. Sippel, and L. Thiemann, "Imprecision farming? Examining the (in)accuracy and risks of digital agriculture," Journal of Rural Studies, vol. 86, pp. 623–632, Aug. 2021. DOI: https://doi.org/10.1016/j.jrurstud.2021.07.024
A. Bdeir, "Electronics as material: littleBits," in Proceedings of the 3rd International Conference on Tangible and Embedded Interaction, New York, NY, USA, Feb. 2009, pp. 397–400. DOI: https://doi.org/10.1145/1517664.1517743
A. B. Hollingshead, "The Rank-Order Effect in Group Decision Making," Organizational Behavior and Human Decision Processes, vol. 68, no. 3, pp. 181–193, Dec. 1996. DOI: https://doi.org/10.1006/obhd.1996.0098
M. Schrepp, J. Thomaschewski, and A. Hinderks, "Construction of a Benchmark for the User Experience Questionnaire (UEQ)," International Journal of Interactive Multimedia and Artificial Intelligence, vol. 4, no. 4, pp. 40–44, Jun. 2017. DOI: https://doi.org/10.9781/ijimai.2017.445
Downloads
How to Cite
License
Copyright (c) 2021 S. A. B. Anas, R. S. S. Singh, N. A. B. Kamarudin
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
