Automatic Control System on Drone Sprayer for Rice Plant Pest Control: A Systematic Literature Review

Authors

Rizka Azhari , Muhammad Sarjan , Muhammad Taufik Fauzi , Pending Dadih Permana

Published:

2026-01-19

Issue:

Vol. 1 No. 3 (2025): JOURNAL OF MULTIDISCIPLINARY SCIENCE AND NATURAL RESOURCE MANAGEMENT

Keywords:

drone sprayer, pengendalian hama, padi, sistem kontrol otomatis, pertanian berkelanjutan

Article

Downloads

How to Cite

Azhari, R. ., Sarjan, M., Fauzi, M. T., & Permana, P. D. (2026). Automatic Control System on Drone Sprayer for Rice Plant Pest Control: A Systematic Literature Review. Journal of Multidisciplinary Science and Natural Resource Management , 1(3), 77–83. Retrieved from https://jurnalpasca.unram.ac.id/index.php/jom/article/view/1488

Abstract

Rice farming faces challenges in pest and weed control, which impacts productivity and crop quality. The use of drone sprayers with automated control systems offers an innovative solution for precise pesticide and herbicide spraying. This research employed a systematic literature review approach, analyzing national and international journals (2017-2025) related to drones, UAVs, rice pest control, and automated control systems. The study results indicate that drone sprayers are effective in adjusting the volume and distribution of liquid based on crop conditions, improving spraying precision, and minimizing farmer contact with pesticides. The automated control system also improves operational efficiency, reduces chemical residues, and supports real-time pest detection. This technology has the potential to increase land productivity and support sustainable agriculture. This research confirms that the implementation of automated drone sprayers is an important strategy in optimizing rice pest control.

References

Dungani Rudi, P. A. A. S., Yuniarti Karnita, Karliati Tati, S. I. and, & Ihak, S. (2018). We are IntechOpen , the world ’ s leading publisher of Open Access books Built by scientists , for scientists TOP 1 %. Long-Haul Travel Motivation by International Tourist to Penang, i(tourism), 13.

Febrian, J., & Huda, Y. (2024). Rancang Bangun Sistem Kontrol Penyemprotan Cairan Pestisida Otomatis Menggunakan Drone UAV Hexacopter. Jurnal Pendidikan Tambusai, 8(2), 10423–10437.

Guo, Z., Cai, D., Bai, J., Xu, T., & Yu, F. (2024). Intelligent Rice Field Weed Control in Precision Agriculture: From Weed Recognition to Variable Rate Spraying. Agronomy, 14(8). https://doi.org/10.3390/agronomy14081702

Guo, Z., Cai, D., Zhou, Y., Xu, T., & Yu, F. (2024). Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning. Plant Methods, 20(1), 1–17. https://doi.org/10.1186/s13007-024-01232-0

Habriansyah, I., Destinirenza, A., Rizky, E. A., Taufik, A., Mukhtar, M., Hamzah, F., & Paisal, P. (2023). Drone Untuk Keperluan Penyemprotan Tanaman Padi. Jurnal Teknik Mesin Sinergi, 21(2), 286–291. https://doi.org/10.31963/sinergi.v21i2.4476

Hariyanto, K., & Santoso, D. W. (2017). Pengembangan Sistem Penyemprotan Pada Platform Mengurangi Biaya Pertanian Dalam Mendorong Konsep Pertanian Pintar ( Smart Farming ). Nasional Teknologi Terapan, 1(1), 87–97.

Megawati Citra Alam, Bayu Aji, S., Puri Dwi Purwanti, & Kustiani, E. (2023). Inovasi Pertanian dalam Penyemprotan Pestisida dengan Drone untuk Tanaman yang Sehat dan Aman di Area Persawahan Desa Musir Lor Kecamaan Rejoso Kabupaten Nganjuk. JATIMAS : Jurnal Pertanian Dan Pengabdian Masyarakat, 3(2), 143–151. https://doi.org/10.30737/jatimas.v3i2.5127

Musrian, T., Aninditya, M. W., & Nurcholis, J. (2024). Optimizing Weed Control: A Study on the Influence of Drone Sprayer Altitude in Herbicide Application. Jurnal Keteknikan Pertanian Tropis Dan Biosistem, 12(1), 1–8. https://doi.org/10.21776/ub.jkptb.2024.012.01.01

Nordin, M. N., Mat Jusoh, M. S., Abu Bakar, B. H., Hassan Basri, M. S., Kamal, F., Ahmad, M. T., Mail, M. F., Masarudin, M. F., Misman, S. N., & Teoh, C. C. (2021). Preliminary Study on Pesticide Application in Paddy Field using Drone

Sprayer. Advances in Agricultural and Food Research Journal, 2(2). https://doi.org/10.36877/aafrj.a0000147

Paul, R. A. I., Palanisamy, M. A., Peramaiyan, P., Kumar, V., Bagavathiannan, M., Gurjar, B., Vijayakumar, S., Djanaguiraman, M., Pazhanivelan, S., & Ramasamy,

K. (2024). Spray volume optimization with UAV-based herbicide application for effective droplet deposition and weed control in direct-seeded rice. Frontiers in Agronomy, 6(November), 1–12. https://doi.org/10.3389/fagro.2024.1491842

Prasetya, D. A., Roidah, I. S., & Aditiawan, F. P. (2025). Design of a Hexacopter Drone Prototype for Fertilizer and Pesticide Spraying. Nusantara Science and Technology Proceedings, 2025, 655–659. https://doi.org/10.11594/nstp.2025.4796

Puspitasari, S. I., Amin, M., & Mabrouk, A. Ben. (2024). Future Technology: AI and Drones for Sustainable Pest Control in Saudi Arabia and Indonesia. Assyfa Journal of Farming and Agriculture, 1(2), 54–65. https://doi.org/10.61650/ajfa.v1i2.217

Rahman, K., Novitasari, E., & Lestari, N. (2021). Uji Efisiensi Lapang Unmanned Aerial Vehicle (UAV) Berbasis Quadcopter Kapasitas 10 Liter dalam Pemupukan Tanaman Padi. 7, 257–264.

Sari, M. Y. A., Hassim, Y. M. M., Hidayat, R., & Ahmad, A. (2021). Monitoring Rice Crop and Paddy Field Condition Using UAV RGB Imagery. International Journal on Informatics Visualization, 5(4), 469–474. https://doi.org/10.30630/JOIV.5.4.742

Seo, S., & Lee, K. (2025). Density-Driven Multidrone Coordination for Efficient Farm Coverage and Management in Smart Agriculture. IEEE Transactions on Control Systems Technology, 1–14. https://doi.org/10.1109/TCST.2025.3631091

Shandika, R. (2022). Rancang Bangun Penyemprot Pestisida Untuk Pertanian Padi Berbasis Quadcopter. RODA: Jurnal Pendidikan Dan Teknologi Otomotif, 2(1), 11. https://doi.org/10.24114/roda.v2i1.30812

Syarief, M. (2023). Efektifitas dan Efisiensi Drone Sprayer untuk Pengendalian Hama Keong Mas (Pomacea canaliculata Lamarck) pada Tanaman Padi (Oryza sativa L.). Jurnal Agroplant, 6(1), 65–76. https://doi.org/10.56013/agr.v6i1.2028

Syarief, M., Rahmawati, D., Mujiono, & Fittryah, L. D. (2024). Efektivitas dan Efisiensi Drone Sprayer untuk Pengendalian Gulma pada Tanaman Padi (Oryza sativa L). Agriprima : Journal of Applied Agricultural Sciences, 8(1), 52–60. https://doi.org/10.25047/agriprima.v8i1.523

Taufik, A., Habriansyah, I., Fachturrahman, F., & Sumbung, H. F. R. (2022). Drone Untuk Deteksi Hama dan Penyemprotan Pestisida pada Tanaman Padi. Jurnal Teknik Mesin Sinergi, 20(2), 139–145. https://doi.org/10.31963/sinergi.v20i2.3737

Yahya, Z., Mujahiddin, D. E., Setiawan, R., & Sujalu, A. P. (2025). The Utilised Unmanned Aerial Vehicles in Forest Plantation Maintenance. Jurnal Penelitian Pendidikan IPA, 11(9), 527–532. https://doi.org/10.29303/jppipa.v11i9.12623

Author Biographies

Rizka Azhari, Program Studi Magister Pertanian Lahan Kering, Pascasarjana Universitas Mataram, Kota Mataram, Nusa Tenggara Barat 83115, Indonesia

Muhammad Sarjan, Program Studi Magister Pertanian Lahan Kering, Pascasarjana Universitas Mataram, Kota Mataram, Nusa Tenggara Barat 83115, Indonesia

Muhammad Taufik Fauzi, Program Studi Magister Pertanian Lahan Kering, Pascasarjana Universitas Mataram, Kota Mataram, Nusa Tenggara Barat 83115, Indonesia

Pending Dadih Permana, Program Studi Magister Pertanian Lahan Kering, Pascasarjana Universitas Mataram, Kota Mataram, Nusa Tenggara Barat 83115, Indonesia

License

Copyright (c) 2025 Rizka Azhari, Muhammad Sarjan, Muhammad Taufik Fauzi, Pending Dadih Permana

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.