Utilization of Sensors and IoT in Smart Agriculture: A Systematic Literature Review (2017–2022)

Authors

  • Parwito Parwito Universitas Ratu Samban, Bengkulu, Indonesia
  • Edi Susilo Universitas Ratu Samban, Bengkulu, Indonesia
  • Andreani Kinata Universitas Ratu Samban, Bengkulu, Indonesia
  • Susi Handayani Universitas Ratu Samban, Bengkulu, Indonesia

DOI:

https://doi.org/10.58222/h2s5qg97

Keywords:

Metode Forward Chaining

Abstract

The global agricultural landscape is undergoing a paradigm shift toward "Agriculture 4.0," where data-driven decisions replace traditional intuition. This transformation is underpinned by the integration of sensor technology and the Internet of Things (IoT). This article presents a comprehensive systematic literature review (SLR) of research published between 2017 and 2022, focusing on the technical nuances of sensors, network architectures, and their socio-economic impacts. By analyzing over 20 key publications, the study identifies a transition from resistive to capacitive sensing technologies and the dominance of LPWAN protocols in large-scale farming. The findings highlight that IoT integration leads to a 30-40% increase in productivity and a significant reduction in resource waste. This review provides a strategic roadmap for implementing smart farming solutions, emphasizing the need for infrastructure development and digital literacy in developing economies like Indonesia..

References

[1] Heryadi, D. Y., & Sulistyo, W. (2022). Implementation of Smart Farming: Utilizing the Internet of Things (IoT) to Enhance Productivity and Efficiency in Sustainable Agriculture. Journal of the American Scientific Research, 2022(1), 1-10.

[2] Matsveichuk, N. M., & Sotskov, Y. N. (2022). Digital Technologies, Internet of Things and Cloud Computations Used in Agriculture: Surveys and Literature in Russian. Preprints.org, 2022, 1-15.

[3] Ahmad, F. A. (2022). Sistem Informasi Berbasis Web untuk Pemantauan Kondisi Tanah (Kelembaban dan Suhu) Terintegrasi IoT. Universitas Islam Negeri Raden Intan Lampung.

[4] Ambarwari, A., et al. (2021). Sistem Pemantau Kondisi Lingkungan Pertanian Tanaman Pangan dengan NodeMCU ESP8266 dan Raspberry Pi Berbasis IoT. Jurnal Ilmiah Teknologi Informasi, 2021, 1-8.

[5] Suseno, B. G. (2022). Perancangan Sistem Monitoring Kondisi Tanah Menggunakan Sensor DHT11 dan Soil Moisture FC. Jurnal SINTA, 2022, 1-7.

[6] Basri, H. (2022). Implementasi Sistem Irigasi Cerdas Berbasis IoT dan Sensor. Jurnal Edutic, 6(2), 123-130.

[7] Putri, Q. A., & Safitri, D. (2022). Tinjauan Penerapan Internet of Things pada Sistem Irigasi Cerdas Pertanian. Journal of Informatics and Interactive Technology, 2(1), 1-8.

[8] Firmansyah, F., et al. (2022). Pertanian Cerdas Berbasis Internet of Things untuk Meningkatkan Produktivitas Tanaman. Jurnal Pengabdian Masyarakat, 4(2), 80-85.

[9] Nahib, I. (2022). Spatio-Temporal Dynamics of Land Use and Land Cover Changes in Lombok Island. MDPI, 2022, 1-15.

[10] Flora, F. S. (2022). Otomasi Sistem Penyiraman Tanaman Bawang Merah Pada Lokasi Tanah Berbatu Berbasis Internet Of Things. Universitas Lampung.

[11] Navarro, E., et al. (2020). A Systematic Review of IoT Solutions for Smart Farming. Sensors (Basel), 20(15), 4235.

[12] Addam Raihan, Q. H. (2022). Sistem Pemantauan Siram Otomatis pada Tanaman Alpukat Berbasis Internet of Things. Universitas Lampung.

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Published

2022-06-30

How to Cite

Utilization of Sensors and IoT in Smart Agriculture: A Systematic Literature Review (2017–2022). (2022). SMART : Jurnal Teknologi Informasi Dan Komputer , 1(2), 61-66. https://doi.org/10.58222/h2s5qg97

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