Determinant Factors Of Digital Agriculture Adoption By Farmers In A Global Perspective : A Systematic Literature Review
DOI:
https://doi.org/10.34145/ivas.v1i1.3846Keywords:
Digital Transformation, Smart Agriculture, Sustainable Agriculture, Technology Adoption, Systematic ReviewAbstract
Digital agriculture has emerged as a strategic approach to strengthening food security and promoting environmental sustainability. However, the willingness to adopt digital agriculture technologies among farmers is shaped by multiple interrelated factors. This review addresses a research gap by providing a global evidence synthesis that integrates fragmented findings across regions and develops a taxonomy of digital agriculture adoption determinants. This study examines the determinants of farmers’ adoption of digital agriculture technologies from a global perspective through a systematic literature review. Using the PRISMA protocol, 51 articles published between 2020 and 2025 were identified and selected from ScienceDirect, Emerald, and ProQuest databases based on predefined inclusion and exclusion criteria and analysed using a thematic analysis approach. The findings suggest that several factors are frequently reported as drivers of digital agriculture technology adoption, including technological factors (digital literacy, digital infrastructure, and perceived ease of use), organisational factors (investment cost, benefit expectation, socioeconomic status, sociodemographic characteristics, and personal experiences), and environmental factors (government intervention, financial support, and social influences). This review develops a structured taxonomy of digital agriculture adoption factors that can be utilised by policymakers and stakeholders to design inclusive and environmentally sustainable strategies to enhance digital agriculture uptake and strengthen food security.
Downloads
References
Abdullah, M., Cuixia, L., Ghazanfar, S., Rehman, A., Ghazanfar, B., & Saud, S. (2013). Problems faced by rice growing farmers and their behavior to the government policies: A case from Pakistan. Journal of Biology, Agriculture and Healthcare, 3(16), 1–9.
Abioye, D. O., Popoola, O., Akande, A., Fadare, D. A., Omitoyin, S. A., Yinusa, B., & Kolade, O. O. (2024). Farmersâ€TM willingness to adopt digital application tools in Ogun State, Nigeria. Journal of Strategy and Management Journal of Strategy and Management, Query date: 2025-09-09 23:07:10. https://doi.org/10.1108/JSMA-06-2023-0135.
Ahmad, B., Sarkar, M. A. R., Khanom, F., Lucky, R. Y., Sarker, M. R., Rabbani, M. G., Ray, S. R. R., Rahman, M. N., & Sarker, M. N. I. (2024). Experience of farmers using mobile phone for farming information flow in Boro rice production: A case of Eastern Gangetic Plain. Social Sciences & Humanities Open, 9(Query date: 2025-09-09 22:06:53), 100811. https://doi.org/10.1016/j.ssaho.2024.100811.
Al-Ammary, J. H., & Ghanem, M. E. (2023). Information and communication technology in agriculture: Awareness, readiness and adoption in the Kingdom of Bahrain. Arab Gulf Journal of Scientific Research Arab Gulf Journal of Scientific Research, 1, 182–197. https://doi.org/10.1108/AGJSR-07-2022-0113.
Albizua, A., Bennett, E. M., Larocque, G., Krause, R. W., & Pascual, U. (2021). Social networks influence farming practices and agrarian sustainability. PloS One, 16(1), e0244619.
Alsanhani, A. N., Al-Shayaa, M. S., Dabiah, A. T., & Alfridi, J. S. (2025). Advancing Sustainable Agriculture Through Digital Technology: The Role of the ‘Agricultural Guideâ€TM App in Improving Olive Farming Practices in Saudi Arabia. Sustainability, 17(6), 2340. https://doi.org/10.3390/su17062340.
Amoussouhoui, R., Arouna, A., Ruzzante, S., & Banout, J. (2024). Adoption of ICT4D and its determinants: A systematic review and meta-analysis. Heliyon, 10(9). https://doi.org/10.1016/j.heliyon.2024.e30210.
Antonoplis, S. (2023). Studying socioeconomic status: Conceptual problems and an alternative path forward. Perspectives on Psychological Science, 18(2), 275–292.
Arangurí, M., Mera, H., Noblecilla, W., & Lucini, C. (2025). Digital Literacy and Technology Adoption in Agriculture: A Systematic Review of Factors and Strategies. AgriEngineering, 7(9), 296.
Babineau, J. (2014). Product review: Covidence (systematic review software). Journal of the Canadian Health Libraries Association/Journal de l’Association Des Bibliothèques de La Santé Du Canada, 35(2), 68–71.
Bai, Q., Chen, H., Zhou, J., Li, G., Zang, D., Sow, Y., & Shen, Q. (2023). Digital literacy and farmers’ entrepreneurial behavior—Empirical analysis based on CHFS2019 micro data. Plos One, 18(7), e0288245.
Basenach, L., Renneberg, B., Salbach, H., Dreier, M., & Woelfling, K. (2023). Systematic reviews and meta-analyses of treatment interventions for Internet use disorders: Critical analysis of the methodical quality according to the PRISMA guidelines. Journal of Behavioral Addictions, 12(1), 9–25.
Bellon-Maurel, V., Piot-Lepetit, I., Lachia, N., & Tisseyre, B. (2023). Digital agriculture in Europe and in France: Which organisations can boost adoption levels? Crop and Pasture Science, 74(6), 573–585.
Bibi, F., & Rahman, A. (2023). An overview of climate change impacts on agriculture and their mitigation strategies. Agriculture, 13(8), 1508.
Bleidorn, W., Kretzschmar, A., Rauthmann, J. F., Orth, U., Denissen, J. J., & Hopwood, C. J. (2023). Self-esteem and income over time. Psychological Science, 34(10), 1163–1172.
Caffaro, F., Cremasco, M. M., Roccato, M., & Cavallo, E. (2020). Drivers of farmersâ€TM intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies, 76(Query date: 2025-09-09 22:06:53), 264–271. https://doi.org/10.1016/j.jrurstud.2020.04.028
Chen, J., Hou, H., Liao, Z., & Wang, L. (2024). Digital environment, digital literacy, and farmers’ entrepreneurial behavior: A discussion on bridging the digital divide. Sustainability, 16(23), 10220.
Chen, Y., Fu, X., & Liu, Y. (2022). Effect of farmland scale on farmers’ application behavior with organic fertilizer. International Journal of Environmental Research and Public Health, 19(9), 4967.
Cimino, A., Coniglio, I. M., Corvello, V., Longo, F., Sagawa, J. K., & Solina, V. (2024). Exploring small farmers behavioral intention to adopt digital platforms for sustainable and successful agricultural ecosystems. Technological Forecasting and Social Change, 204(Query date: 2025-09-09 22:06:53), 123436. https://doi.org/10.1016/j.techfore.2024.123436
Coles, D. X., George, J., & Miller, M. (n.d.). Three-Tier Pricing Model: Differentiation Based On Consumer Psychology, Market Positioning, and Added-Value Incentives.
Colussi, J., Morgan, E. L., Schnitkey, G. D., & Padula, A. D. (2022). How Communication Affects the Adoption of Digital Technologies in Soybean Production: A Survey in Brazil. Agriculture, 12(5), 611. https://doi.org/10.3390/agriculture12050611
Colussi, J., Sonka, S., Schnitkey, G. D., Morgan, E. L., & Padula, A. D. (2024). A Comparative Study of the Influence of Communication on the Adoption of Digital Agriculture in the United States and Brazil. Agriculture, 14(7), 1027. https://doi.org/10.3390/agriculture14071027.
Coulibaly, T. P., Du, J., & Diakité, D. (2021). Sustainable agricultural practices adoption. Agriculture, 67(4), 166–176.
Cui, L., & Wang, W. (2023). Factors Affecting the Adoption of Digital Technology by Farmers in China: A Systematic Literature Review. Sustainability, 15(20), 14824. https://doi.org/10.3390/su152014824
Czibere, I., Kovách, I., & Loncsák, N. (2023). Hungarian Farmers and the Adoption of Precision Farming. European Countryside, 15(3), 366–380. https://doi.org/10.2478/euco-2023-0020
Das, A., Kumar, S., Kasala, K., Nedumaran, S., Paithankar, P., Kumar, A., Jain, A., & Avinandan, V. (2025). Effects of climate change on food security and nutrition in India: A systematic review. Current Research in Environmental Sustainability, 9(Query date: 2025-09-09 22:06:43), 100286. https://doi.org/10.1016/j.crsust.2025.100286
Diaz, A. C., Sasaki, N., Tsusaka, T. W., & Szabo, S. (2021). Factors affecting farmers’ willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation & Recycling Advances, 11, 200056. https://doi.org/10.1016/j.rcradv.2021.200056
Fauzi, M. A. (2023). Consumer purchase of halal certified product: A quantitative systematic literature review. Journal of Islamic Marketing, 14(6), 1397–1416.
Gao, T., Lu, Q., Zhang, Y., & Feng, H. (2024). Does Farmersâ€TM Cognition Enhance Their Enthusiasm for Adopting Sustainable Digital Agricultural Extension Services? Evidence from Rural China. Sustainability, 16(10), 3972. https://doi.org/10.3390/su16103972
Geng, W., Liu, L., Zhao, J., Kang, X., & Wang, W. (2024). Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach. Sustainability, 16(11), 4431. https://doi.org/10.3390/su16114431
Georgopoulos, V. P., Gkikas, D. C., & Theodorou, J. A. (2023). Factors Influencing the Adoption of Artificial Intelligence Technologies in Agriculture, Livestock Farming and Aquaculture: A Systematic Literature Review Using PRISMA 2020. Sustainability, 15(23), 16385. https://doi.org/10.3390/su152316385
Giua, C., Materia, V. C., & Camanzi, L. (2021). Management information system adoption at the farm level: Evidence from the literature. British Food Journal, 123(3), 884–909. https://doi.org/10.1108/BFJ-05-2020-0420
Giua, C., Materia, V. C., & Camanzi, L. (2022). Smart farming technologies adoption: Which factors play a role in the digital transition? Technology in Society, 68(Query date: 2025-09-09 22:06:53), 101869. https://doi.org/10.1016/j.techsoc.2022.101869
Gong, S., Sun, Z., Wang, B., & Yu, Z. (2024). Could digital literacy contribute to the improvement of green production efficiency in agriculture? Sage Open, 14(1), 21582440241232789.
Gwaka, L., May, J., & Tucker, W. (2020). The impacts of digital infrastructure transformation on livestock system sustainability in rural communities.
Gyawali, B. R., Paudel, K. P., Jean, R., & Banerjee, S. “Banâ€. (2023). Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers. Technology in Society, 72(Query date: 2025-09-09 22:06:53), 102202. https://doi.org/10.1016/j.techsoc.2023.102202
Hammouti, B., Aichouch, I., Kachbou, Y., Azzaoui, K., & Touzani, R. (2025). Bibliometric analysis of global research trends on UMI using Scopus database and VOS viewer from 1987–2024. J. Mater. Environ. Sci, 16(4), 548–561.
Haverila, M. J., McLaughlin, C., & Haverila, K. (2023). The impact of social influence on perceived usefulness and behavioral intentions in the usage of non-pharmaceutical interventions (NPIs). International Journal of Healthcare Management, 16(1), 145–156.
Heise, H. (2021a). German Farmersâ€TM Attitudes on Adopting Autonomous Field Robots: An Empirical Survey. Agriculture, 11(3), 216. https://doi.org/10.3390/agriculture11030216
Heise, H. (2021b). Towards an Understanding of the Behavioral Intentions and Actual Use of Smart Products among German Farmers. Sustainability, 13(12), 6666. https://doi.org/10.3390/su13126666
Hu, H., Dai, O., Qin, L., & Li, J. (2025). An investigation into the cost-sharing mechanism of order agriculture with consideration for green investment. Cogent Food & Agriculture, 11(1), 2485324.
Hunt, E., Femia, F., Werrell, C., Christian, J. I., Otkin, J. A., Basara, J., Anderson, M., White, T., Hain, C., Randall, R., & McGaughey, K. (2021). Agricultural and food security impacts from the 2010 Russia flash drought. Weather and Climate Extremes, 34, 100383. https://doi.org/10.1016/j.wace.2021.100383
Jabbari, A., Humayed, A., Reegu, F. A., Uddin, M., Gulzar, Y., & Majid, M. (2023). Smarfarming revolution: Farmer’s perception and adoption of smart iot technologies for crop health monitoring and yield prediction in jizan, Saudi Arabia. Sustainability, 15(19), 14541.
Jiang, Q., Li, J., Si, H., & Su, Y. (2022). The Impact of the Digital Economy on Agricultural Green Development: Evidence from China. Agriculture, 12(8). https://doi.org/10.3390/agriculture12081107
Kabirigi, M., Sekabira, H., Sun, Z., & Hermans, F. (2023). The use of mobile phones and the heterogeneity of banana farmers in Rwanda. Environment, Development and Sustainability, 25(6), 5315–5335. https://doi.org/10.1007/s10668-022-02268-9
Kamalu, N. C., & Kamalu, H. O. (2025). The Role of Gender in Technology Adoption and Diffusion in the United States. European Journal of Science, Innovation and Technology, 5(2), 53–68.
Keefe, D. H. S., Jang, H., & Ercan, E. N. (2025). Digitalization in sustainable agriculture supply chain: How digital literacy and support affect attitudes and adoption intentions. International Trade, Politics and Development International Trade, Politics and Development, Query date: 2025-09-09 23:07:10, 1–16. https://doi.org/10.1108/ITPD-02-2025-0007
Kenny, U., & Regan, Ã. (2021). Co-designing a smartphone app for and with farmers: Empathising with end-usersâ€TM values and needs. Journal of Rural Studies, 82(Query date: 2025-09-09 22:06:53), 148–160. https://doi.org/10.1016/j.jrurstud.2020.12.009
Khan, N., Ray, R. L., Kassem, H. S., & Zhang, S. (2022). Mobile Internet Technology Adoption for Sustainable Agriculture: Evidence from Wheat Farmers. Applied Sciences, 12(10), 4902. https://doi.org/10.3390/app12104902
Khanal, S., Bhattarai, S. B. S., Adhikari, U., Sharma, D., & Pandey, M. (2021). Disparities between developed and emerging economies in digital divide and ICT gap to bring agricultural sustainability. Fundamental and Applied Agriculture, 6(3), 309–322.
Knitsch, V., Daniel, L., & Welz, J. (2024). Mapping varieties of farmersâ€TM experience in the digital transformation: A new perspective on transformative dynamics. Precision Agriculture, 25(4), 1958–1981. https://doi.org/10.1007/s11119-024-10148-7
Kugbega, S. K., & Aboagye, P. Y. (2021). Farmer-herder conflicts, tenure insecurity and farmer’s investment decisions in Agogo, Ghana. Agricultural and Food Economics, 9(1), 19.
Lai, Y., Du, R., He, J., Zhou, J., & Yao, L. (2025). Vicious cycle or virtuous feedback? Revisiting the impact of climate risk on agricultural carbon emissions in China. Climate Smart Agriculture, 2(3), 100065. https://doi.org/10.1016/j.csag.2025.100065
Langer, G., Schulze, H., & Kühl, S. (2024). From intentions to adoption: Investigating the attitudinal and emotional factors that drive IoT sensor use among dairy farmers. Smart Agricultural Technology, 7(Query date: 2025-09-09 22:06:53), 100404. https://doi.org/10.1016/j.atech.2024.100404
Levin, I., & Mamlok, D. (2021). Culture and society in the digital age. Information, 12(2), 68.
Li, C., Shi, Y., Khan, S. U., & Zhao, M. (2021). Research on the impact of agricultural green production on farmers’ technical efficiency: Evidence from China. Environmental Science and Pollution Research, 28(29), 38535–38551. https://doi.org/10.1007/s11356-021-13417-4
Li, L., Li, W., Zhang, M., & Liu, B. (2025). Study of vegetable farmersâ€TM IoT technology adoption decision making based on Heckman model. Smart Agricultural Technology, 11(Query date: 2025-09-09 22:06:53), 101019. https://doi.org/10.1016/j.atech.2025.101019
Li, L., Min, X., Guo, J., & Wu, F. (2024). The influence mechanism analysis on the farmersâ€TM intention to adopt Internet of Things based on UTAUT-TOE model. Scientific Reports (Nature Publisher Group), 14(1), 15016. https://doi.org/10.1038/s41598-024-65415-4
Lim, W. M., Kumar, S., & Ali, F. (2022). Advancing knowledge through literature reviews:‘what’,‘why’, and ‘how to contribute.’ The Service Industries Journal, 42(7–8), 481–513.
Lin, D., Fu, B., Xie, K., Zheng, W., Chang, L., & Lin, J. (2023). Research on the Improvement of Digital Literacy for Moderately Scaled Tea Farmers under the Background of Digital Intelligence Empowerment. Agriculture, 13(10), 1859. https://doi.org/10.3390/agriculture13101859
Liu, M., & Liu, H. (2024). Farmers’ adoption of agriculture green production technologies: Perceived value or policy-driven? Heliyon, 10(1).
Liu, W., & Liu, Y. (2022). The impact of incentives on job performance, business cycle, and population health in emerging economies. Frontiers in Public Health, 9, 778101.
Liu, Y., Liu, G., Huang, L., Xiao, H., & Liu, X. (2025). Impact of Digital Infrastructure on Farm Households’ Scale Management. Sustainability, 17(15), 6788.
Lynch, J., Cain, M., Frame, D., & Pierrehumbert, R. (2021). Agriculture’s contribution to climate change and role in mitigation is distinct from predominantly fossil CO2-emitting sectors. Frontiers in Sustainable Food Systems, 4, 518039.
Mallick, S., Burman, R., Padaria, R., Mahra, G., Aditya, K., Shekhawat, K., Satyapriya, D., Paul, S., Sahu, S., Bishnoi, S., Singh, R., Manjunath, K., Saini, S., & Mukherjee, S. (2025a). Exploring farmers’ psychological perspectives on multimedia-based agro-advisory services. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-92936-3
Mallick, S., Burman, R., Padaria, R., Mahra, G., Aditya, K., Shekhawat, K., Satyapriya, D., Paul, S., Sahu, S., Bishnoi, S., Singh, R., Manjunath, K., Saini, S., & Mukherjee, S. (2025b). Exploring farmers’ psychological perspectives on multimedia-based agro-advisory services. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-92936-3
Marescotti, M. E., Demartini, E., Filippini, R., & Gaviglio, A. (2021). Smart farming in mountain areas: Investigating livestock farmersâ€TM technophobia and technophilia and their perception of innovation. Journal of Rural Studies, 86(Query date: 2025-09-09 22:06:53), 463–472. https://doi.org/10.1016/j.jrurstud.2021.07.015.
Marius, M., Vanessa, B., & Oliver, M. (2020). Understanding the adoption of smartphone apps in crop protection. Precision Agriculture, 21(6), 1209–1226. https://doi.org/10.1007/s11119-020-09715-5
Marmont, B., Eastwood, C., Minnee, E., Dorner, Z., Neal, M., & Silva-Villacorta, D. (2024). Predicting future adoption of early-stage innovations for smart farming: A case study investigating critical factors influencing use of smart feeder technology for potential delivery of methane inhibitors in pasture-grazed dairy systems. Smart Agricultural Technology, 9(Query date: 2025-09-09 22:06:53), 100549. https://doi.org/10.1016/j.atech.2024.100549
Martoredjo, N. T. (2023). Social media as a learning tool in the digital age: A review. Procedia Computer Science, 227, 534–539.
Masambuka-Kanchewa, F., Rumble, J., & Buck, E. (2021). Exploring differences in communication behaviors between organic and conventional farmers. Journal of Agriculture, Food Systems, and Community Development, 10(3), 205–219.
McFadden, J., Njuki, E., & Griffin, T. (2023). Precision agriculture in the digital era: Recent adoption on US farms.
McKeown, S., & Mir, Z. M. (2021). Considerations for conducting systematic reviews: Evaluating the performance of different methods for de-duplicating references. Systematic Reviews, 10(1), 38.
Mhlanga, D., & Ndhlovu, E. (2023). Digital technology adoption in the agriculture sector: Challenges and complexities in Africa. Human Behavior and Emerging Technologies, 2023(1), 6951879.
Miine, L. K., Akorsu, A. D., Boampong, O., & Bukari, S. (2023). Drivers and intensity of adoption of digital agricultural services by smallholder farmers in Ghana. Heliyon, 9(12). https://doi.org/10.1016/j.heliyon.2023.e23023
Mols, A. (2021). Digital literacy and information inequality in Dutch WhatsApp Neighbourhood Crime Prevention groups. Criminological Encounters, 4(1), 223–228.
Munz, J., & Schuele, H. (2022). Influencing the Success of Precision Farming Technology Adoption—A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture. Agriculture, 12(11), 1773. https://doi.org/10.3390/agriculture12111773
Mushi, G. E., Burgi, P.-Y., & Serugendo, G. D. M. (2024). State of Agricultural E-Government Services to Farmers in Tanzania: Toward the Participatory Design of a Farmers Digital Information System (FDIS). Agriculture, 14(3), 475. https://doi.org/10.3390/agriculture14030475
Nafilyan, V., Dolby, T., Razieh, C., Gaughan, C. H., Morgan, J., Ayoubkhani, D., Walker, S., Khunti, K., Glickman, M., & Yates, T. (2021). Sociodemographic inequality in COVID-19 vaccination coverage among elderly adults in England: A national linked data study. BMJ Open, 11(7), e053402.
Newton, J. E., Nettle, R., & Pryce, J. E. (2020). Farming smarter with big data: Insights from the case of Australia’s national dairy herd milk recording scheme. Agricultural Systems, 181(Query date: 2025-09-09 22:06:53), 102811. https://doi.org/10.1016/j.agsy.2020.102811
Nwachukwu, C. (2023). Green agriculture and food security, a review. 1178(1), 012005.
Pastrana-Pastrana, Á. J., Rodríguez-Herrera, R., Solanilla-Duque, J. F., & Flores-Gallegos, A. C. (2025). Plant proteins, insects, edible mushrooms and algae: More sustainable alternatives to conventional animal protein. Journal of Future Foods, 5(3), 248–256. https://doi.org/10.1016/j.jfutfo.2024.07.004
Piancharoenwong, A., & Badir, Y. F. (2024). IoT smart farming adoption intention under climate change: The gain and loss perspective. Technological Forecasting and Social Change, 200(Query date: 2025-09-09 22:06:53), 123192. https://doi.org/10.1016/j.techfore.2023.123192
Ramadan, E., Abdalla, S., Ahbabi, A. A., Gibreel, T., & Hosani, N. A. (2025). Towards sustainable urban agriculture in the arid GCC states: Drivers of technology adoption among small-scale farmers. City and Environment Interactions, 28(Query date: 2025-09-09 22:06:53), 100222. https://doi.org/10.1016/j.cacint.2025.100222
Rehman, A., Farooq, M., Lee, D.-J., & Siddique, K. H. (2022). Sustainable agricultural practices for food security and ecosystem services. Environmental Science and Pollution Research, 29(56), 84076–84095.
Reissig, L., & Siegrist, M. (2025). From the attitude towards digitalisation in agriculture to the acceptance of future agricultural technologies. Smart Agricultural Technology, 12(Query date: 2025-09-09 22:06:53), 101095. https://doi.org/10.1016/j.atech.2025.101095
Ren, Z., Fu, Z., & Zhong, K. (2022). The influence of social capital on farmers’ green control technology adoption behavior. Frontiers in Psychology, 13, 1001442.
Rivaldo, Y., & Nabella, S. D. (2023). Employee performance: Education, training, experience and work discipline. Calitatea, 24(193), 182–188.
Santoso, A. B., Ulina, E. S., Batubara, S. F., Chairuman, N., Sudarmaji, Indrasari, S. D., Pustika, A. B., Sutrisna, N., Surdianto, Y., Rahmini, Aryati, V., Manurung, E. D., Purba, H. F. P., Senoaji, W., Kotta, N. R. E., Parhusip, D., Widihastuty, Mugiasih, A., & Tobing, J. M. L. (2024). Are Indonesian rice farmers ready to adopt precision agricultural technologies? Precision Agriculture, 25(4), 2113–2139. https://doi.org/10.1007/s11119-024-10156-7
Selvaggi, R., Zanchini, R., ZarbÃ, C., Pecorino, B., & Pappalardo, G. (2024). Simultaneous evaluation of dairy farmers’ behaviour and intention to adopt technological devices. Aestimum, 84, 3–17. https://doi.org/10.36253/aestim-15362
Setsoafia, E. D., Ma, W., & Renwick, A. (2022). Effects of sustainable agricultural practices on farm income and food security in northern Ghana. Agricultural and Food Economics, 10(1), 1–15.
Shih, S., & Chiu, B. (2023). Willingness of Farmers to Adopt Blockchain Technology in Smart Agriculture. Journal of Economics, Finance, and Accounting Studies, 5(4), 24–34. https://doi.org/10.32996/jefas.2023.5.4.3
Silveira, F. da, Silva, S. L. C. da, Machado, F. M., Barbedo, J. G. A., & Amaral, F. G. (2023). Farmers’ perception of the barriers that hinder the implementation of agriculture 4.0. Agricultural Systems, 208(Query date: 2025-09-09 22:06:53), 103656. https://doi.org/10.1016/j.agsy.2023.103656
Spykman, O., Gabriel, A., Ptacek, M., & Gandorfer, M. (2021). Farmersâ€TM perspectives on field crop robots – Evidence from Bavaria, Germany. Computers and Electronics in Agriculture, 186(Query date: 2025-09-09 22:06:53), 106176. https://doi.org/10.1016/j.compag.2021.106176
Sun, R., Zhang, S., Wang, T., Hu, J., Ruan, J., & Ruan, J. (2021). Willingness and Influencing Factors of Pig Farmers to Adopt Internet of Things Technology in Food Traceability. Sustainability, 13(16), 8861. https://doi.org/10.3390/su13168861
Taheri, F., Dâ€TMHaese, M., Fiems, D., & Azadi, H. (2022). Facts and fears that limit digital transformation in farming: Exploring barriers to the outreach of wireless sensor networks in Southwest Iran. PLoS One, 17(12). https://doi.org/10.1371/journal.pone.0279009
Tian, M., Deng, P., Zhang, Y., & Salmador, M. P. (2018). How does culture influence innovation? A systematic literature review. Management Decision, 56(5), 1088–1107.
Tran, D. T., Duong, M. T. D., & Hoang, H. G. (2025). Perception and factors affecting farmersâ€TM adoption of smart agriculture in Vietnam: Implications for extension strategies. World Development Perspectives, 38(Query date: 2025-09-09 22:06:53), 100691. https://doi.org/10.1016/j.wdp.2025.100691
Uehleke, R., Plettenberg, L. von, Leyer, M., & Hüttel, S. (2024). German sugar beet farmersâ€TM intention to use autonomous field robots for seeding and weeding. Journal of Environmental Management, 370(Query date: 2025-09-09 22:06:53), 122472. https://doi.org/10.1016/j.jenvman.2024.122472
Vadivel, B., Alam, S., Nikpoo, I., & Ajanil, B. (2023). The impact of low socioeconomic background on a child’s educational achievements. Education Research International, 2023(1), 6565088.
Vo, C. Q., Samuelsen, P.-J., Sommerseth, H. L., Wisløff, T., Wilsgaard, T., & Eggen, A. E. (2023). Comparing the sociodemographic characteristics of participants and non-participants in the population-based Tromsø Study. BMC Public Health, 23(1), 994.
Wang, W., Huang, Z., Fu, Z., Jia, L., Li, Q., & Song, J. (2024). Impact of digital technology adoption on technological innovation in grain production. Journal of Innovation & Knowledge, 9(3), 100520. https://doi.org/10.1016/j.jik.2024.100520
Wang, Y.-J., Wang, N., Li, M., Li, H., & Huang, G. Q. (2024). End-users’ acceptance of intelligent decision-making: A case study in digital agriculture. Advanced Engineering Informatics, 60(Query date: 2025-09-09 22:06:53), 102387. https://doi.org/10.1016/j.aei.2024.102387
Wibowo, S. (2024). Innovative strategy for the application of discretion in government policy in Indonesia: An analysis. Gorontalo Law Review, 7(1), 69–84.
Zeddies, H. H., Busch, G., & Qaim, M. (2024). Positive public attitudes towards agricultural robots. Scientific Reports, 14(1), 15607.
Zhang, X., Yang, Q., Mamun, A., Masukujjaman, M., & Masud, M. (2024). Acceptance of new agricultural technology among small rural farmers. Humanities and Social Sciences Communications, 11. https://doi.org/10.1057/s41599-024-04163-2
Zhou, X., Chen, T., & Zhang, B. (2023). Research on the impact of digital agriculture development on agricultural green total factor productivity. Land, 12(1), 195.
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2026 Heri Apriyanto, Citra Dewi Anggraeni
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
