with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Engineering-Science Driven Review of Field Maintenance Machinery in Indonesian Oil Palm Plantations: Performance Metrics, Governing Processes, and Research Needs

Document Type : Review Article- En

Authors

1 Doctoral Program in Agricultural Science, School of Postgraduate, Universitas Hasanuddin, Makassar, Indonesia

2 Department of Agrotechnology, Faculty of Agriculture, Universitas Borneo Tarakan, Tarakan, Indonesia

3 Department of Agriculture Engineering, Faculty of Agriculture Technology, Universitas Hasanuddin, Makassar, Indonesia

Abstract
Oil palm supports Indonesia’s rural economy, yet field maintenance operations remain labour-intensive and measurement sparse. This engineering science driven review synthesises 20 studies published during 2015–2025 on weed control, fertiliser application, pest and disease management, pruning/canopy work, and supporting soil/residue operations in Indonesian oil palm. To handle heterogeneous reporting, performance indicators were classified as directly reported metrics, derived metrics, proxy indicators, or not reported; no missing values were imputed for CV, deposition, drift, or droplet spectrum descriptors. Across the available evidence, electric/motorised sprayers, CDA systems, and UAV spraying generally reduced time and/or cost relative to manual knapsack practice, while tractor towed spreaders, pneumatic applicators, and subsurface placement concepts improved dosing and targeting in fertiliser operations. However, only a minority of studies reported standardised engineering metrics such as CV, VMD, on target deposition, drift, or operator exposure. The review provides a structured engineering comparison rather than a formal meta-analysis and identifies priority research needs: standard test protocols, comparable benchmark reporting, and modular multifunction platforms integrated with sensing, decision support, and service-based deployment models.

Keywords

Subjects

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

  1. Adib, N. A. N. M., & Daliman, S. (2021). Conceptual framework of smart fertilization management for oil palm tree based on IOT and deep learning. IOP Conference Series: Earth and Environmental Science, 842(1), 12072. https://doi.org/10.1088/1755-1315/842/1/012072
  2. Adriansyah, D. (2024). Perancangan alat pelubang tanah untuk penanaman bibit kelapa sawit penggerak motor bakar bensin [Design of a soil hole maker for planting oil palm seedlings driven by a gasoline engine] (Undergraduate thesis). Universitas Tridinanti Palembang.
  3. Alfarisi, A., Sutejo, A., & Mandang, T. (2021). Karakteristik mulsa batang kelapa sawit dan efektivitasnya sebagai soil conditioner (Undergraduate thesis, IPB University, Bogor, Indonesia). Retrieved from IPB Scientific Repository
  4. Al-Jawadiab, R. A. M., Ahmad, D., Nawi, N. M., & Kassim, M. S. M. (2018). Mechanized harvesting of oil palm fresh fruit bunches: A review. In Proceedings of the 7th Kuala Lumpur International Agriculture, Forestry and Plantation Conference (KLIAFP7) (pp. 77–89). Bangi, Malaysia.
  5. Aminuddin, F. D., Nurrohkayati, A. S., & Rohmatulloh, M. A. (2024). Effect of the number of blades in palm oil chopping machine. TEKNOSAINS: Jurnal Sains, Teknologi Dan Informatika, 11(2), 222-228. https://doi.org/10.37373/tekno.v11i2.955
  6. Arief, D. S. (2020). Desain dan Manufaktur Hopper Penyalur Pupuk Menggunakan Valve Metering Mechanism pada Cultivator untuk Pemupukan Kelapa Sawit [Design and manufacture of a fertilizer distributor hopper using a valve metering mechanism on a cultivator for oil palm fertilization] (Undergraduate thesis). Universitas Riau.
  7. Asmara, S., Kano, F. I., Kadir, M. Z., & Suharyatun, S. (2023). Unjuk Kerja Alat Pemotong Pelepah Sawit Tipe Egrek Secara Manual dan Mekanis Menggunakan Mesin Husqvarna 327 LDx [Performance of manual and mechanical sickle type palm frond cutters using the Husqvarna 327 LDx machine]. Jurnal Agricultural Biosystem Engineering, 2(1), 144-150. https://doi.org/10.23960/jabe.v2i1.6994
  8. Baharudin, M. E., Zakaria, M. Z., Mohd Nor, A., Saad, M. S., Hamid, R. A., Mustafa, A. F., & Abdul Rahman, A. S. (2024). Automation of agricultural machinery: Development and validation of a portable automation module for oil palm plantation machinery. Journal of Applied Research and Technology, 22(5), 698-705. https://doi.org/10.22201/icat.24486736e.2024.22.5.3400
  9. Carballido del Rey, J. (2021). Study, development and application of precision agriculture techniques in agricultural machinery. Córdoba, Spain: UCOPress.
  10. Christian, A., Asmara, S., Sugianti, C., & Telaumbanua, M. (2018). Performance of palm frond cutter using manual and mechanical dodos. Jurnal Teknik Pertanian Lampung, 7(1), 15-24. https://doi.org/23960/jtep-l.v7i1.15-24
  11. Dahliani, L., Wirandayu, S., & Dewantara, M. (2022). Implementation of technology 4.0 in achieving the effectivity and efficiency of the production process in palm oil plantation. E3S Web of Conferences, 348, 00011. https://doi.org/10.1051/e3sconf/202234800011
  12. Danylo, O., Pirker, J., Lemoine, G., Ceccherini, G., See, L., McCallum, I., Hadi, H., Kraxner, F., Achard, F., & Fritz, S. (2021). A map of the extent and year of detection of oil palm plantations in Indonesia, Malaysia and Thailand. Scientific Data, 8(1), 96. https://doi.org/10.1038/s41597-021-00867-1
  13. Hamsi, A., Sitorus, T. B., & Isma, T. B. (2020). Design assembling and testing of the oil palm bunches cutting machines. IOP Conference Series: Materials Science and Engineering, 1003(1), 012016. https://doi.org/10.1088/1757-899X/1003/1/012016
  14. Hanif, A. S., Han, X., & Yu, S. H. (2022). Independent control spraying system for uav-based precise variable sprayer: a review. Drones, 6(12), https://doi.org/10.3390/drones6120383
  15. Hashim, S. A., Daliman, S., Rodi, I. N. M., Abd Aziz, N., Amaludin, N. A., & Rak, A. E. (2020). Analysis of Oil Palm Tree Recognition using Drone-Based Remote Sensing Images. IOP Conference Series: Earth and Environmental Science, 596(1), 012070. https://doi.org/10.1088/1755-1315/596/1/012070
  16. Herdiansyah, H., Antriyandarti, E., Rosyada, A., Arista, N. I. D., Soesilo, T. E. B., & Ernawati, N. (2023). Evaluation of conventional and mechanization methods towards precision agriculture in Indonesia. Sustainability, 15(12), 9592. https://doi.org/10.3390/su15129592
  17. Hidayat, F., Yudhistira, Y., Pane, R. D. P., Sapalina, F., Listia, E., Amalia, R., Muhayat, M., & Winarna, W. (2023). Aplikasi pupuk hayati untuk meningkatkan pertumbuhan dan produktivitas tanaman kelapa sawit [Application of biofertilizers to increase the growth and productivity of oil palm plants]. Jurnal Penelitian Kelapa Sawit, 31(2), 96-107. https://doi.org/10.22302/iopri.jur.jpks.v31i2.193
  18. Ibrahim, A., Khalid, M. R., Radzi, M. K. F. M., & Bakri, M. A. M. (2024). Impact of mechanisation on soil compaction in oil palm plantations. Palm Oil Engineering Bulletin, 145, 29-34.
  19. Irawan, D., Azhar, A., & Sahal, M. (2022). Ergonomic design of weeds sprayer based on recycle energy to support palm oil replanting. Journal of Innovation and Creativity Resources, 1(1), 13-20.
  20. Khofiyah, N. A., Sutopo, W., & Hisjam, M. (2020). A framework for developing technopreneurship and innovation system: A comparative study of agricultural drone technology development in Indonesia. In Proceedings of the 5th North American International Conference on Industrial Engineering and Operations Management (pp. 1251–1262).
  21. Kholis, D. (2021). Rancang bangun mesin pemupuk kelapa sawit dengan metode pembenaman ke dalam tanah [Undergraduate thesis, IPB University]. Retrieved from https://repository.ipb.ac.id
  22. Khuzaimah, Z., Nawi, N. M., Adam, S. N., Kalantar, B., Emeka, O. J., & Ueda, N. (2022). Application and potential of drone technology in oil palm plantation: Potential and limitations. Journal of Sensors, 2022(1), 5385505. https://doi.org/10.1155/2022/5385505
  23. Lye, O. T., Ahmad, S., Abu Hassan, H., & Chong, Y. J. (2006). An overview of R&D in palm oil-based polyols and polyurethanes in MPOB. Palm Oil Developments, 44, 1-7.
  24. Lytridis, C., & Pachidis, T. (2024). Recent advances in agricultural robots for automated weeding. AgriEngineering, 6(3), 3279-3296. https://doi.org/10.3390/agriengineering6030187
  25. Mahfud, S. (2020). Evaluasi desain dan kinerja bucket mulcher untuk penumbangan dan pencacahan batang kelapa sawit (Undergraduate thesis, IPB University, Bogor, Indonesia). Retrieved from https://repository.ipb.ac.id/handle/123456789/106150
  26. Mahhendra, D. W., Mawandha, H. G., & Yuniasih, B. (2025). Perbandingan Teknis Penyemprotan Gulma secara Manual dan Menggunakan Drone Sprayer di Lahan Replanting [Technical comparison of manual weed spraying and using a drone sprayer in replanting areas]. AGROISTA: Jurnal Agroteknologi, 8(2), 120-127. https://doi.org/10.55180/agi.v8i2.851
  27. Maris, N. M. N., Idris, A. S., Nordiana, A. A., Izzuddin, M. A., & Norman, K. (2013). Detection of Ganoderma disease and bagworms in oil palm using hyperspectral remote sensing. In Proceedings of the 5th MPOB–IOPRI International Seminar: Sustainable Management of Pests and Disease in Oil Palm—The Way Forward (pp. 106–118). Selangor, Malaysia: Malaysian Palm Oil Board.
  28. Mohd Najib, N. E., Kanniah, K. D., Cracknell, A. P., & Yu, L. (2020). Synergy of active and passive remote sensing data for effective mapping of oil palm plantation in Malaysia. Forests, 11(8), 858. https://doi.org/13390/f11080858
  29. Mulyasari, G., Djarot, I. N., Sasongko, N. A., & Putra, A. S. (2023). Social-life cycle assessment of oil palm plantation smallholders in Bengkulu province, Indonesia. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e19123
  30. Papilo, P., Marimin, M., Hambali, E., Machfud, M., Yani, M., Asrol, M., Evanila, E., Prasetya, H., & Mahmud, J. (2022). Palm oil-based bioenergy sustainability and policy in Indonesia and Malaysia: A systematic review and future agendas. Heliyon, 8(10). https://doi.org/10.1016/j.heliyon.2022.e10919
  31. Pawase, P., Nalawade, S., Walunj, A., Kadam, P., & Zeng, Z. (2025). Experimental study of real-time sensing and map-based site-specific application for N, P and K. Precision Agriculture, 26(5), 83. https://doi.org/10.1007/s11119-025-10282-w
  32. Polwaththa, K. P. G. D. M., Amarasinghe, A. A. Y., & Nandasena, G. P. M. S. (2024). A review of innovative fertilization strategies in precision agriculture. Open Access Research Journal of Science and Technology, 12(2), 49-57. https://doi.org/10.53022/oarjst.2024.12.2.0137
  33. Pramuhadi, G., Ayu, Z. M., Kusdian, M. H., Fahri, R., Pratama, R. F., & Rahayu, A. (2022). Pengabut Semprot Bergerak untuk Pemberantasan Hama Kelapa Sawit. Jurnal Ilmu Pertanian Indonesia, 27(4), 481-487. https://doi.org/10.18343/jipi.27.4.487
  34. Pujiwara, G. (2022). Efektivitas perbandingan sprayer solar cell buatan dan sprayer elektrik untuk pengendalian gulma (Bachelor's thesis, Institut Pertanian STIPER Yogyakarta, Yogyakarta, Indonesia). Retrieved from https://eprints.instiperjogja.ac.id/id/eprint/2317
  35. Purnama, D., Dalimunthe, B. A., Septyani, I. A. P., & Sepriani, Y. (2023). Pengaruh herbisida glifosat terhadap kematian gulma di piringan, pasar pikul dan TPH tanaman kelapa sawit di PT. Supra Matra Abadi (SMA) Kebun Aek Nabara. Jurnal Pertanian Agros, 25(3), 2949–2955.
  36. Purnomo, H., Okarda, B., Dermawan, A., Ilham, Q. P., Pacheco, P., Nurfatriani, F., & Suhendang, E. (2020). Reconciling oil palm economic development and environmental conservation in Indonesia: A value chain dynamic approach. Forest Policy and Economics, 111, 102089. https://doi.org/10.1016/j.forpol.2020.102089
  37. Putra, F. A., Finawan, A., Rusli, R., & Mauliza, Y. (2024). Rancang bangun alat pengutip brondolan sawit dengan menggunakan joystik berbasis mikrokontroller Arduino Uno. Jurnal TEKTRO, 8(2), 185–190. https://doi.org/10.30811/tektro.v8i2.6405
  38. Putra, R. I. S. (2024). Desain dan uji kinerja egrek pemanen sawit dengan penggetar elektro mekanis (Bachelor's thesis, IPB University, Bogor, Indonesia). Retrieved from http://repository.ipb.ac.id/handle/123456789/158090
  39. Putri, E. I. K., Dharmawan, A. H., Hospes, O., Yulian, B. E., Amalia, R., Mardiyaningsih, D. I., ... Suradiredja, D. Y. (2022). The oil palm governance: challenges of sustainability policy in Indonesia. Sustainability, 14(3), 1820. https://doi.org/10.3390/su14031820
  40. Qaim, M., Sibhatu, K. T., Siregar, H., & Grass, I. (2020). Environmental, economic, and social consequences of the oil palm boom. Annual Review of Resource Economics, 12(1), 321-344. https://doi.org/10.1146/annurev-resource-110119-024922
  41. Rahim, H. A. (2015). An improved automated herbicides machine for farmers at oil palm plantation. Jurnal Teknologi, 73(3), 1-4. https://doi.org/10.11113/jt.v73.4285
  42. Rahutomo, R., Mahesworo, B., Cenggoro, T. W., Budiarto, A., Suparyanto, T., Surya Atmaja, D. B., Samoedro, B., & Pardamean, B. (2020). AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber. IOP Conference Series: Earth and Environmental Science, 426(1), 012147. https://doi.org/10.1088/1755-1315/426/1/012147
  43. Ramadhan, P., Mahmudah, M., & Mulyani, P. W. (2024). Mortalitas hama ulat kantong (Metisa plana) menggunakan drone dan motor sprayer pada tanaman kelapa sawit (Elaeis guineensis Jacq) di PT. Langkat Nusantara Kepong. Prosiding Seminar Nasional Pembangunan dan Pendidikan Vokasi Pertanian, 5(1), 1508-1519. https://doi.org/10.47687/snppvp.v5i1.921
  44. Ramadhana, A., Ahmed, F., & Thongrak, S. (2021). The impact of oil palm farming on household income and expenditure in Indonesia. The Journal of Asian Finance, Economics and Business, 8(4), 539-547. https://doi.org/10.13106/jafeb.2021.vol8.no4.0539
  45. Rodi, I. N. M., & Daliman, S. (2024). Optimizing Oil Palm Tree Inventory Management with Advanced Drone-Based Image Recognition Techniques. Malaysian Journal of Bioengineering and Technology, 1(1), 66-81. https://doi.org/10.70464/mjbet.v1i1.1274
  46. Santoso, D., Murdianto, D., Egra, S., Wahyuni, E., Murtilaksono, A., Tahcfulloh, S., & Sulistyo, A. (2025). Bibliometric analysis of oil palm pre-harvest machinery. Revista Brasileira de Engenharia Agrícola e Ambiental, 29(5), e287540. https://doi.org/10.1590/1807-1929/agriambi.v29n5e287540
  47. Sarzynski, T., Giam, X., Carrasco, L., & Lee, J. S. H. (2020). Combining radar and optical imagery to map oil palm plantations in Sumatra, Indonesia, using the Google Earth Engine. Remote Sensing, 12(7), 1220. https://doi.org/10.3390/rs12071220
  48. Satya Wibangga, A., & Sofri Ramadhani, S. (2021). Rancang bangun mesin pencacah pelepah kelapa sawit (Final project report, Politeknik Manufaktur Negeri Bangka Belitung, Indonesia).
  49. Senata, D. R. (2023). Pemupukan secara mekanis menggunakan fertilizer spreader dengan variasi bukaan adjusting hopper, kecepatan, dan PTO (Bachelor’s thesis, Institut Pertanian STIPER Yogyakarta, Yogyakarta, Indonesia). Retrieved from https://eprints.instiperjogja.ac.id.
  50. Septiarini, A., Sunyoto, A., Hamdani, H., Kasim, A. A., Utaminingrum, F., & Hatta, H. R. (2021). Machine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features. Scientia Horticulturae, 286, 110245. https://doi.org/10.1016/j.scienta.2021.110245
  51. Shamshiri, R. R., Hameed, I. A., Balasundram, S. K., & Ahmad, D., Weltzien, C., & Yamin, M. (2019). Fundamental research on unmanned aerial vehicles to support precision agriculture in oil palm plantations. In J. Zhou & B. Zhang (Eds.), Agricultural Robots: Fundamentals and Applications (pp. 91–116). IntechOpen. https://doi.org/10.5772/intechopen.80936
  52. Siahaan, M., Wagino, W., & Tarigan, L. J. (2023). Kajian pemupukan kelapa sawit (Elaeis guineensis Jacq) menggunakan metode semi mechanical manuring (SMM). Jurnal Agro Estate, 7(1), 18-32. https://doi.org/10.47199/jae.v7i1.150
  53. Sihombing, K. N. (2025). Operational penyemprotan metode MKTI menggunakan boom sprayer di perkebunan kelapa sawit (Bachelor’s thesis, Institut Pertanian STIPER Yogyakarta, Yogyakarta, Indonesia). Retrieved from https://eprints.instiperjogja.ac.id/id/eprint/4009
  54. Silalahi, F. R. L., Siregar, A. Z., & Siregar, D. S. (2023). Effectiveness of Using Electric Knapsack Sprayer in Weed Control on Oil Palm Plants (Elaeis guineensis Jacq). Jurnal Sosial Ekonomi Pertanian, 19(3), 195-206. https://doi.org/10.20956/jsep.v19i3.22201
  55. Siregar, K. R. F., Nurkhoiry, R., Nasution, Z. P. S., Agustira, M. A., & Amalia, R. (2025). Utilization of mechanization in the transportation process of production yields in oil palm plantations. Jurnal Penelitian Kelapa Sawit, 33(1), 17-32.
  56. Suhardjo, I., Akroyd, C., & Suparman, M. (2026). Beyond compliance: sustainability reporting challenges and the future of integrated reporting in Indonesia. Asian Review of Accounting, 34 (3), 536-554. https://doi.org/10.1108/ARA-06-2024-0190
  57. Suhardjo, I., & Suparman, M. (2025). Harmonizing sustainability certification standards: the Indonesian palm oil case. International Food and Agribusiness Management Review, 28(4). https://doi.org/10.22434/IFAMR.1218
  58. Supriatna, J., Djumarno, D., Saluy, A. B., & Kurniawan, D. (2024). Sustainability Analysis of Smallholder Oil Palm Plantations in Several Provinces in Indonesia. Sustainability, 16(11), 4383. https://doi.org/10.3390/su16114383
  59. Suryanto, T., Vernando, E., & Soesatrijo, J. (2022). Efektivitas Penggunaan Controlled Droplet Application pada Penyemprotan Gulma di Perkebunan Kelapa Sawit. Jurnal Citra Widya Edukasi, 14(1), 87-94. Retrieved from https://journal.poltekcwe.ac.id/index.php/jurnal_citrawidyaedukasi/article/view/273
  60. Tajalli, M., Hermawan, W., & Setiawan, R. P. A. (2016). Desain dan Kinerja Sistem Pneumatik untuk Penabur Pupuk Tanaman Sawit Muda [Design and performance of a pneumatic system for young oil palm fertilizer spreaders]. Jurnal Keteknikan Pertanian, 4(2) 115-122. https://doi.org/10.19028/jtep.04.2.115-122
  61. Wibowo, H., Sitanggang, I. S., Mushthofa, M., & Adrianto, H. A. (2022). Large-scale oil palm trees detection from high-resolution remote sensing images using deep learning. Big Data and Cognitive Computing, 6(3), 89. https://doi.org/10.3390/bdcc6030089
  62. Wijayanto, A. W., Afira, N., & Nurkarim, W. (2022). Machine learning approaches using satellite data for oil palm area detection in Pekanbaru City, Riau. In Proceedings of the 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom) (pp. 84-89). IEEE. https://doi.org/10.1109/CyberneticsCom55287.2022.9865301
  63. Woittiez, L. S., Slingerland, M., Noordwijk, M. van, Silalahi, A. J., Heerwaarden, J. van, & Giller, K. E. (2024). People, palms, and productivity: Testing better management practices in Indonesian smallholder oil palm plantations. Agriculture, 14(9), 1626. https://doi.org/10.3390/agriculture14091626
  64. Yuliyanto, Kuvaini, A., & Yogantara, A. O. (2021). Efektivitas alat pengutip buah kelapa sawit modifikasi pada masa tanaman menghasilkan. Jurnal Citra Widya Edukasi, 13(1), 95-100.
  65. Yuliyanto, Kesuma, N. W., & Sinuraya, R. (2017). Efektivitas dan efisiensi penggunaan knapsack sprayer dan knapsack motor pada penyemprotan gulma di perkebunan kelapa sawit. Jurnal Citra Widya Edukasi, 9(1), 80-92
  66. Zamrosmahadi, M. A. M., Jie, T. J., Wessam, H., Faudzi, A. A. M., & Ahmad, M. R. (2021). Mobile-based motorized cutter mechanism for palm oil fresh fruit bunch harvesting. In Robot Intelligence Technology and Applications 6 (pp. 247-256). https://doi.org/10.1007/978-3-030-97672-9_22
  67. Zhang, J., Yu, F., Zhang, Q., Wang, M., Yu, J., & Tan, Y. (2024). Advancements of UAV and deep learning technologies for weed management in Farmland. Agronomy, 14(3), 494. https://doi.org/10.3390/agronomy14030494
  68. Zhang, W., Miao, Z., Li, N., He, C., & Sun, T. (2022). Review of current robotic approaches for precision weed management. Current Robotics Reports, 3(3), 139-151. https://doi.org/10.1007/s43154-022-00086-5
Send comment about this article
Enter Name.
Enter a valid email address.
Enter a vaid affiliation.
Enter comments (At leaset 10 words)
CAPTCHA Image
Enter Security Code Correctly.

Articles in Press, Accepted Manuscript
Available Online from 20 May 2026

  • Receive Date 13 February 2026
  • Revise Date 19 March 2026
  • Accept Date 18 April 2026
  • First Publish Date 20 May 2026