Internet of Things-based Agricultural Land Monitoring


  • Andrew Andrew Pradita University, Tangerang, Indonesia
  • Haryono Haryono Pradita University, Tangerang, Indonesia




Arduino Uno, NodeMCU ESP8266, Internet of Things, Agriculture, Monitoring Agricultural Land


Agriculture is an industrial sector that produces raw materials such as rice, corn, and agricultural products. In the current era, there should be no problem if there is a food shortage because society, industry, and education do not make a real contribution to supporting the agricultural industry. The state also needs good agricultural land, so that the state can fulfill the needs of its people. Without good agriculture, a country will not be able to meet the needs of its people. Modern society today is not or is rarely concerned with agriculture. Agriculture is carried out only by providing fertilizer, water, and land, paying attention to the quality of the agricultural land. One of the problems of declining agricultural production is crop failure. One of the reasons island for agriculture. Soil is the most important part of the world of agriculture. If the land is not cultivated then the land is difficult to become an ideal place for agriculture. The Internet of Things can be used as a solution to problems by tilling the soil and monitoring soil conditions. In conditions in the dry season, soil moisture needs to be done by water. In the rainy season, the land should not be flooded, let alone submerged and flooded. In order to maintain the balance of moisture and waterlogged soil, the Internet of Things is a solution for monitoring and managing agricultural land. Internet of Things is a device that can communicate with each other from one device to another, such as sensors and actuators. Good land cultivation makes agricultural land fertile. Agricultural land processing is maximized by adding a monitoring system for agricultural land using a micro-controller Arduino Uno, NodeMCU ESP8266, several sensors, and integrated devices. The purpose of this research is to make a prototype that is useful for monitoring agricultural land

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Ambarwari, A., Dewi Kania Widyawati, & Anung Wahyudi. (2021). Sistem Pemantau Kondisi Lingkungan Pertanian Tanaman Pangan dengan NodeMCU ESP8266 dan Raspberry Pi Berbasis IoT. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(3), 496–503.

Balogun, V. A., Oladapo, B. I., Adeoye, A. O. M., Kayode, J. F., & Afolabi, S. O. (2018). Hysteresis analysis of Thornton (IP6, IP12E and TH5V) magnetic materials through the use of Arduino microcontroller. Journal of Materials Research and Technology, 7(4), 443–449.

Butet, A., Rantier, Y., & Bergerot, B. (2022). Land use changes and raptor population trends: A twelve-year monitoring of two common species in agricultural landscapes of Western. Global Ecology and Conservation, 34(November 2021), e02027.

Hu, X., Ren, H., Tansey, K., Zheng, Y., Ghent, D., Liu, X., & Yan, L. (2019). Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries. Agricultural and Forest Meteorology, 279(August), 107707.

Kawakami, Y., Furuta, T., Nakagawa, H., Kitamura, T., Kurosawa, K., Kogami, K., Tajino, N., & Tanaka, M. S. (2016). Rice Cultivation Support System Equipped with Water-level Sensor System. IFAC-PapersOnLine, 49(16), 143–148.

Nasir Ahmad, N. S. B., Mustafa, F. B., Muhammad Yusoff, S. @. Y., & Didams, G. (2020). A systematic review of soil erosion control practices on the agricultural land in Asia. International Soil and Water Conservation Research, 8(2), 103–115.

Ohyver, M., Moniaga, J. V., Sungkawa, I., Subagyo, B. E., & Chandra, I. A. (2019). The comparison firebase realtime database and MySQL database performance using wilcoxon signed-rank test. Procedia Computer Science, 157, 396–405.

Oltean, S. E. (2019). Mobile Robot Platform with Arduino Uno and Raspberry Pi for Autonomous Navigation. Procedia Manufacturing, 32, 572–577.

Pérez-Hoyos, A., Udías, A., & Rembold, F. (2020). Integrating multiple land cover maps through a multi-criteria analysis to improve agricultural monitoring in Africa. International Journal of Applied Earth Observation and Geoinformation, 88(August 2019).

Prayitno, G., Dinanti, D., Hidayana, I. I., & Nugraha, A. T. (2021). Place attachment and agricultural land conversion for sustainable agriculture in Indonesia. Heliyon, 7(7), e07546.

Raihan, A., & Tuspekova, A. (2022). The nexus between economic growth, renewable energy use, agricultural land expansion, and carbon emissions: New insights from Peru. Energy Nexus, 6(April), 100067.

Saydi, R. (2021). Monitoring Curah Hujan dan Kelengasan Tanah Lahan Pertanian Menggunakan Sensor Berbasis Internet of Things (IoT) sebagai Dasar Pertanian Presisi. Jurnal Ilmiah Teknologi Pertanian Agrotechno, 6(1), 25.

Su, B., & Ma, X. (2010). Water level sensor based on a new design structure for irrigation water measurement. IFAC Proceedings Volumes (IFAC-PapersOnline), 3(PART 1).

Syafiqoh, U., Sunardi, S., & Yudhana, A. (2018). Pengembangan Wireless Sensor Network Berbasis Internet of Things Syafiqoh, U., Sunardi, S., & Yudhana, A. (2018). Pengembangan Wireless Sensor Network Berbasis Internet of Things untuk Sistem Pemantauan Kualitas Air dan Tanah Pertanian. Jurnal Informatika. Jurnal Informatika: Jurnal Pengembangan IT, 3(2), 285–289.

Waworundeng, J. M. S., Chandra Suseno, N., Ricky, R., & Manaha, Y. (2018). Automatic Watering System for Plants with IoT Monitoring and Notification. Cogito Smart Journal |, 4(DESEMBER), 316.


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How to Cite

Andrew, A., & Haryono, H. (2022). Internet of Things-based Agricultural Land Monitoring. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(3), 846-852.

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