Utilization of Automatic Irrigation Technology and Soil Moisture Sensors in Supporting Water Efficiency and Sustainable Food Security
DOI:
https://doi.org/10.65310/ea021s89Keywords:
Automatic Irrigation, Soil Moisture Sensor, Water Efficiency, Food Security, Sustainable AgricultureAbstract
Limited water resources and increasing global food demand require the application of efficient and sustainable agricultural technologies. This study examines the use of soil moisture sensor-based automatic irrigation technology to improve water efficiency and support sustainable food security through literature review and secondary data analysis. The results show that this technology can save water usage by 30–50%, increase crop productivity by up to 25%, and reduce long-term operational costs. The system works by continuously monitoring soil moisture and regulating water supply according to crop needs. The main challenges include initial investment costs, farmers' limited knowledge, and supporting infrastructure, but these can be overcome through policy support, training, and appropriate business models. This study recommends the development of affordable automated irrigation systems, increased farmer capacity, and comprehensive policies to accelerate the adoption of this technology at the field level.
Downloads
References
Adak, S. (2025). Use of Soil Moisture Sensor for Efficient Irrigation in Smart Agriculture. Journal of Experimental Agriculture International, 47(6), 502-507. https://doi.org/10.9734/jeai/2025/v47i63511.
Agus Suprapto, S. P., MP, I., Budi Santosa, S. P., Gerson Hans Maure, S. P., Herman Tangkelayuk, S. P., Kuad Suwarno, S. P., ... & Ir Lisa Mawarni, M. P. (2025). Pertanian Modern. Cendikia Mulia Mandiri.
Anugrah, I. S., Sumedi, S., & Wardana, I. P. (2008). Gagasan dan implementasi system of rice intensification (SRI) dalam kegiatan budidaya padi ekologis (BPE). Analisis Kebijakan Pertanian, 6(1), 75-99. https://doi.org/10.21082/akp.v6n1.2008.75-99.
Budiawati, Y., Gunawan, G., & Suherna, S. (2025). Smart Agriculture vs Pertanian Konvensional: Tantangan atau Peluang Pertanian Masa Depan di Indonesia? Smart Agriculture vs Pertanian Konvensional: Tantangan atau Peluang Pertanian Masa Depan di Indonesia?. Agri Wiralodra, 17(1), 16-28. https://doi.org/10.31943/agriwiralodra.v17i1.119.
Dewinta, D., & Warlina, L. (2017). Dampak alih fungsi lahan pertanian terhadap ketahanan pangan di Kabupaten Cianjur. Jurnal Wilayah Dan Kota, 3(02), 91-104. https://doi.org/10.34010/jwk.v4i02.2450.
El Hudaefie, Babre (2023) Rancang Bangun Saluran Irigasi Persawahan Menggunakan Mikrokontroller Arduino Ide. Tugas Akhir, Politeknik Harapan Bersama.
Faridah, S. N., Sapsal, M. T., Jamaluddin, T. A. A., Dani Achmad, A., & Surya, M. A. (2025). Stability of soil moisture sensors for agricultural crop cultivation. Research in Agricultural Engineering, 71(2), 88-94. https://doi.org/10.17221/33/2024-RAE.
Gaitan, N. C., Batinas, B. I., Ursu, C., & Crainiciuc, F. N. (2025). Integrating Artificial Intelligence into an Automated Irrigation System. Sensors, 25(4), 1199. https://doi.org/10.3390/s25041199.
Gregory, P. J., Simmonds, L. P., & Pilbeam, C. J. (2000). Soil type, climatic regime, and the response of water use efficiency to crop management. Agronomy Journal, 92(5), 814-820. https://doi.org/10.2134/agronj2000.925814x.
Hariyanto, H., Putro, S. A. H., Dewi, R. S., Rizqi, F. N., & Nursafitri, S. (2024). Peningkatan Produktivitas Lahan Pertanian berbasis Climate-Smart Agriculture (CSA) dan Integrated Farming di Dusun Cisema, Bandung, Jawa Barat. In The Proceeding of Community Service and Engagement (Cosecant) Seminar (Vol. 4, No. 2). https://doi.org/10.25124/cosecant.v4i2.8526.
Hulukati, S. A., Salihin, I. A., & Usman, I. F. (2025). Integrasi Internet Of Things (IoT) dengan Google Assistant untuk Optimalisasi Pengelolaan Kelembaban Tanah dan Kontrol Pompa. Digital Transformation Technology, 5(1), 180-190. https://doi.org/10.47709/digitech.v5i1.6006.
Kencana, I. B. A., Arimbawa, I. W. A., & Wedashwara, I. G. P. W. W. (2025). Implementasi Iot Untuk Pemantauan Kelembaban Tanah Dan Debit Air Serta Pengendalian Irigasi Tetes. Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA), 7(2), 214-224. https://doi.org/10.29303/jtika.v7i2.480.
Levidow, L., Zaccaria, D., Maia, R., Vivas, E., Todorovic, M., & Scardigno, A. (2014). Improving water-efficient irrigation: Prospects and difficulties of innovative practices. Agricultural Water Management, 146, 84-94. https://doi.org/10.1016/j.agwat.2014.07.012.
Nelvi, Y. (2019). Isu Dan Pembaharuan Pengelolaan Sistem Irigasi Review and Perspectives. JAS (Jurnal Agri Sains), 3(2). https://doi.org/10.36355/jas.v3i2.294.
Parwito, P., Effendi, S. U., & Khairani, N. (2025). Keanekaragaman dan Manfaat Tanaman Obat Keluarga (TOGA) di Lingkungan Rumah Tangga. Jurnal Sains Kesehatan, 32(1), 142-150.
Su, Q., & Singh, V. P. (2024). Advancing irrigation management: integrating technology and sustainability to address global food security. Environmental monitoring and assessment, 196(11), 1018. https://doi.org/10.1007/s10661-024-13145-5.
Susanto, D., & Jailani, M. S. (2023). Teknik pemeriksaan keabsahan data dalam penelitian ilmiah. QOSIM: Jurnal Pendidikan Sosial & Humaniora, 1(1), 53-61. https://doi.org/10.61104/jq.v1i1.60.
Utomo, Kukuh Prasetyo (2018) Rancang Bangun Sistem Kontrol Kelembaban Dan Ketinggian Air Dengan Monitoring Menggunakan Human Machine Interface (HMI) Pada Alat Penetas Telur Otomatis Berbasis PLC Schneider. Skripsi, Universitas Diponegoro.
Wahditiya, A. A., Laimeheriwa, S., Maruapey, A., Herlyani, H., Irnawati, I., Tebai, N., ... & La Habi, M. (2025). Klimatologi Pertanian. Yayasan Tri Edukasi Ilmiah.
Wahditiya, A. A., Situmorang, H., Ernanda, R., Agustia, R., Wijaya, W., Hidayati, F., ... & Akbar, W. K. (2024). Ekonomi Pertanian: Teori dan Praktik. CV. Gita Lentera.
Yusuf, I., & Suryono, R. R. (2025). Implementasi Aplikasi untuk Pemantauan Kelembaban Tanah Pada Teknologi Irigasi Tetes Tanaman Jagung: Implementation Application for Monitoring Soil Moisture in Corn Crop Drip Irrigation Technology. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 5(2), 541-549. https://doi.org/10.57152/malcom.v5i2.1714.
Zebua, S. N., Dohona, N. H., & Waruwu, I. P. (2024). Evaluasi Irigasi Berbasis Teknologi Di Sektor Pertanian. Jurnal Ilmu Pertanian dan Perikanan, 1(2), 226-232. https://doi.org/10.70134/penarik.v1i2.288.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Parwito (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
