IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9592-d1171259.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9592/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/12/9592/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. 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.
    4. Chen, Shuo & Lan, Xiaohuan, 2020. "Tractor vs. animal: Rural reforms and technology adoption in China," Journal of Development Economics, Elsevier, vol. 147(C).
    5. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Madhu Khanna, 2021. "Digital Transformation of the Agricultural Sector: Pathways, Drivers and Policy Implications," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1221-1242, December.
    2. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    3. Bentivoglio, Deborah & Bucci, Giorgia & Belletti, Matteo & Finco, Adele, 2022. "A theoretical framework on network’s dynamics for precision agriculture technologies adoption," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 60(4), January.
    4. Tumusiime, Emmanuel & B. Wade, Brorsen & Mosali, Jagadeesh & Johnson, Jim & Locke, James & Biermacher, Jon T., 2011. "Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 541-552, November.
    5. Stads, Gert-Jan & Wiebe, Keith D. & Nin-Pratt, Alejandro & Sulser, Timothy B. & Benfica, Rui & Reda, Fasil & Khetarpal, Ravi, 2022. "Research for the future: Investments for efficiency, sustainability, and equity," IFPRI book chapters, in: 2022 Global food policy report: Climate change and food systems, chapter 4, pages 38-47, International Food Policy Research Institute (IFPRI).
    6. Antonino Galati & Giuseppina Migliore & Alkis Thrassou & Giorgio Schifani & Giuseppina Rizzo & Nino Adamashvili & Maria Crescimanno, 2023. "Consumers’ Willingness to Pay for Agri-Food Products Delivered with Electric Vehicles in the Short Supply Chains," FIIB Business Review, , vol. 12(2), pages 193-207, June.
    7. Meyer-Aurich, Andreas & Karatay, Yusuf Nadi, 2019. "Effects of uncertainty and farmers' risk aversion on optimal N fertilizer supply in wheat production in Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 130-139.
    8. Paulson, Nicholas D. & Babcock, Bruce A., 2010. "Readdressing the Fertilizer Problem," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-17, December.
    9. Anna Lungarska & Thierry Brunelle & Raja Chakir & Pierre‐Alain Jayet & Rémi Prudhomme & Stéphane De Cara & Jean‐Christophe Bureau, 2023. "Halving mineral nitrogen use in European agriculture: Insights from multi‐scale land‐use models," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1529-1550, September.
    10. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).
    11. Dong, Yan & Tian, Jinhuan & Wen, Qiang, 2022. "Environmental regulation and outward foreign direct investment: Evidence from China," China Economic Review, Elsevier, vol. 76(C).
    12. Angga Dwiartama & Zulfikar Ali Akbar & Rhino Ariefiansyah & Hendra Kurniawan Maury & Sari Ramadhan, 2024. "Conservation, Livelihoods, and Agrifood Systems in Papua and Jambi, Indonesia: A Case for Diverse Economies," Sustainability, MDPI, vol. 16(5), pages 1-30, February.
    13. Jianxu Liu & Mengjiao Wang & Li Yang & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Agricultural Productivity Growth and Its Determinants in South and Southeast Asian Countries," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    14. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    15. Ku McMahan & Saad Usmani, 2022. "The Economic Benefits of Supporting Private Social Enterprise at the Nexus of Water and Agriculture: A Social Rate of Return Analysis of the Securing Water for Food Grand Challenge for Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    16. Babcock, Bruce A. & Pautsch, Gregory R., 1998. "Moving From Uniform To Variable Fertilizer Rates On Iowa Corn: Effects On Rates And Returns," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-16, December.
    17. Murat Isik & Madhu Khanna, 2003. "Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 305-317.
    18. Yamamoto, Yuki, 2023. "Living under ecosystem degradation: Evidence from the mangrove–fishery linkage in Indonesia," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    19. Johansson, Robert & Peters, Mark & House, Robert, 2007. "Regional Environment and Agriculture Programming Model," Technical Bulletins 184314, United States Department of Agriculture, Economic Research Service.
    20. Qinqin Xu & Kangning Xiong & Yongkuan Chi & Shuzhen Song, 2021. "Effects of Crop and Grass Intercropping on the Soil Environment in the Karst Area," Sustainability, MDPI, vol. 13(10), pages 1-14, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9592-:d:1171259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.