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Evaluation of Conventional and Mechanization Methods towards Precision Agriculture in Indonesia

Author

Listed:
  • Herdis Herdiansyah

    (School of Environmental Science, Universitas Indonesia, Central Jakarta 10430, Indonesia)

  • Ernoiz Antriyandarti

    (Study Program of Agribusiness, Faculty of Agriculture, Universitas Sebelas Maret, Surakarta 57126, Indonesia)

  • Amrina Rosyada

    (Master Program of Biomanagement, School of Life Science and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia)

  • Nor Isnaeni Dwi Arista

    (Research Cluster of Interaction, Community Engagement and Social Environment, School of Environmental Science, Universitas Indonesia, Central Jakarta 10430, Indonesia)

  • Tri Edhi Budhi Soesilo

    (School of Environmental Science, Universitas Indonesia, Central Jakarta 10430, Indonesia)

  • Ninin Ernawati

    (Faculty of Law, Universitas Padjadjaran, Bandung 40132, Indonesia)

Abstract

Food security is a major concern in many countries, including Indonesia. Land productivity has decreased due to shrinking agricultural land, global warming, and land degradation. Precision agriculture (PA) empowers people to use agricultural technology to increase productivity. Therefore, this study aims to examine PA from adopting agricultural machinery. The method used in time series analysis is pooled least squares (PLS). The results show that the transition from conventional methods to using mechanized tools, especially tractors, significantly (at a sig level of 1%) affects rice production in Indonesian rice centers. These results form the basis that Indonesian rice farmers are enthusiastic about various technologies, so the opportunities for PA are significant. However, the gap between PA research in Indonesia and developed countries needs attention, and research collaboration can be a solution. From a practical standpoint, PA integrated with the internet is challenging for Indonesian farmers. Therefore, empowering farmers through various synergy mechanisms is proposed in this study.

Suggested Citation

  • Herdis Herdiansyah & Ernoiz Antriyandarti & Amrina Rosyada & Nor Isnaeni Dwi Arista & Tri Edhi Budhi Soesilo & Ninin Ernawati, 2023. "Evaluation of Conventional and Mechanization Methods towards Precision Agriculture in Indonesia," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9592-:d:1171259
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    References listed on IDEAS

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    1. Adnan, Nadia & Nordin, Shahrina Md & Anwar, Abdullah, 2020. "Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: An integrated exhibiting tactics to adopt Green fertilizer," Land Use Policy, Elsevier, vol. 90(C).
    2. Chen, Shuo & Lan, Xiaohuan, 2020. "Tractor vs. animal: Rural reforms and technology adoption in China," Journal of Development Economics, Elsevier, vol. 147(C).
    3. Irma Yeny & Raden Garsetiasih & Sri Suharti & Hendra Gunawan & Reny Sawitri & Endang Karlina & Budi Hadi Narendra & Surati & Sulistya Ekawati & Deden Djaenudin & Dony Rachmanadi & Nur Muhammad Heriyan, 2022. "Examining the Socio-Economic and Natural Resource Risks of Food Estate Development on Peatlands: A Strategy for Economic Recovery and Natural Resource Sustainability," Sustainability, MDPI, vol. 14(7), pages 1-29, March.
    4. Bruce A. Babcock, 1992. "The Effects of Uncertainty on Optimal Nitrogen Applications," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 14(2), pages 271-280.
    5. Takeshima, Hiroyuki & Houssou, Nazaire & Diao, Xinshen, 2018. "Effects of tractor ownership on returns-to-scale in agriculture: Evidence from maize in Ghana," Food Policy, Elsevier, vol. 77(C), pages 33-49.
    6. Madembo, Connie & Mhlanga, Blessing & Thierfelder, Christian, 2020. "Productivity or stability? Exploring maize-legume intercropping strategies for smallholder Conservation Agriculture farmers in Zimbabwe," Agricultural Systems, Elsevier, vol. 185(C).
    7. Mason-D'Croz, Daniel & Sulser, Timothy B. & Wiebe, Keith & Rosegrant, Mark W. & Lowder, Sarah K. & Nin-Pratt, Alejandro & Willenbockel, Dirk & Robinson, Sherman & Zhu, Tingju & Cenacchi, Nicola & Duns, 2019. "Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger," World Development, Elsevier, vol. 116(C), pages 38-53.
    8. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    9. Yamamoto, Yuki & Shigetomi, Yosuke & Ishimura, Yuichi & Hattori, Mitsuru, 2019. "Forest change and agricultural productivity: Evidence from Indonesia," World Development, Elsevier, vol. 114(C), pages 196-207.
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    1. Winarno, Kodrad & Sustiyo, Joko & Aziz, Ammar Abdul & Permani, Risti, 2025. "Unlocking agricultural mechanisation potential in Indonesia: Barriers, drivers, and pathways for sustainable agri-food systems," Agricultural Systems, Elsevier, vol. 226(C).

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