اعتمادی، م.، موسوی، س.، و امینی فرد، ع. (1401). ارزیابی عوامل مؤثر بر پذیرش راهکارهای کشاورزی هوشمند به اقلیم با تأکید بر ویژگیهای سرمایه اجتماعی و روانشناختی. فصلنامه اقتصاد کشاورزی، دوره 1، شماره 16، صص. 33-1. https://doi.org/10.22034/iaes.2022.538025.1859
بهاروند، ف.، حسین پور، م.، و جمشیدی، م. ج. (1401). ارائهی الگوی پذیرش فناوری اینترنت اشیاء در بخش کشاورزی ایران. راهبردهای کارآفرینی در کشاورزی، دوره 9، شماره 18، صص. 32-22. https://doi.org/10.52547/jea.9.18.22
کرمیفرد، ف.، و گراوندی، ش. (1399). تحلیل مقایسهای هوشمندسازی واحدهای دام پروری کارآفرین شهرستان کرمانشاه با تاکید بر توانمندی دیجیتالی مدیران. مطالعات کارآفرینی و توسعه پایدار کشاورزی، دوره 7، شماره 2، صص. 74-59. https://doi.org/10.22069/jead.2021.19065.1472
Agrotech Murcia. (2022). Empowering Agriculture Through Innovation. Available at: https://agrotechinnovations.eu
Alam, G. M., Khatun, M. N., Sarker, M. N. I., Joshi, N. P., and Bhandari, H. (2023). Promoting agri-food systems resilience through ICT in developing countries amid COVID-19. Frontiers in Sustainable Food Systems, 6, 972667. https://doi.org/10.3389/fsufs.2022.972667
Alibaba Group. (2022). Digital villages initiative: Transforming rural China. Available at: <https://www.alibabagroup.com>
Basso, B., and Antle, J. M. (2020). Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 3(4), 254–256. https://doi.org/10.1038/s41893-020-0510-0
Bechar, A., and Vigneault, C. (2016). Agricultural robots for field operations: Concepts and components. Biosystems Engineering, 149, 94-111. https://doi.org/10.1016/j.biosystemseng.2016.06.014
Bertoglio, R., Corbo, C., Renga, F. M., and Matteucci, M. (2021). The digital agricultural revolution: A bibliometric analysis literature review. Ieee Access, 9, 134762-134782. https://doi.org/10.1109/ACCESS.2021.3115258
Banco Nacional de Desenvolvimento Econômico e Social (BNDES). (2019). InovAgro program: Financing for agricultural innovation. Available at: <http://www.bndes.gov.br>
Bogucki, A. (2025). Applied trustworthy data and artificial intelligence governance in precision agriculture. In engineering and value change (pp. 101-124). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-83549-0_7
Braun, V., and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Bronson, K. (2019). Looking through a responsible innovation lens at uneven engagements with digital farming. NJAS-Wageningen Journal of Life Sciences, 90, 100294. https://doi.org/10.1016/j.njas.2019.03.001
Bronson, K., and Knezevic, I. (2016). Big data in food and agriculture. Big Data & Society, 3(1), 2053951716648174. https://doi.org/10.1177/2053951716648174
Cheng, C., Gao, Q., Ju, K., and Ma, Y. (2024). How digital skills affect farmers’ agricultural entrepreneurship? An explanation from factor availability. Journal of Innovation & Knowledge, 9(2), 100477. https://doi.org/10.1016/j.jik.2024.100477
Creswell, J. W., and Clark, V. P. (2007). Mixed methods research. Thousand Oaks, CA.
Commonwealth Scientific and Industrial Research Organisation (CSIRO). (2021). FarmBeats: IoT for agriculture. Available at: <https://www.csiro.au>
Danish Agriculture and Food Council. (2023). Digital farming in denmark. Available at: <https://agricultureandfood.dk>
Dessart, F. J., Barreiro-Hurlé, J., and Van Bavel, R. (2019). Behavioural factors affecting the adoption of sustainable farming practices: A policy-oriented review. European Review of Agricultural Economics, 46(3), 417–471. https://doi.org/10.1093/erae/jbz019
De Vries, J. R., Turner, J. A., Finlay-Smits, S., Ryan, A., and Klerkx, L. (2023). Trust in agri-food value chains: A systematic review. International Food and Agribusiness Management Review, 26(2), 175-198. https://doi.org/10.22434/IFAMR2022.0032
Easa, N. F. H. (2012). Knowledge management and the SECI model: A study of innovation in the Egyptian banking sector Ph.D. Dissertation, University of Stirling. STORRE. Available at: <http://hdl.handle.net/1893/5053>
Eastwood, C., Klerkx, L., Ayre, M., and Dela Rue, B. (2019). Managing socio-ethical challenges in the development of smart farming: From a fragmented to a comprehensive approach for responsible research and innovation. Journal of Agricultural and Environmental Ethics, 32, 741–768. https://doi.org/10.1007/s10806-017-9704-5
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). (2020). Precision agriculture for smallholders. Available at: <http://www.embrapa.br>
European Commission. (2020). Commission recommendations for The Netherlands' CAP strategic plan (SWD (2020) 388 final). European Commission. Available at: <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52020SC0388>
Federal Ministry of Food and Agriculture. (2020). More than 50 million euros for digital trial fields in the agricultural sector. https://www.bmel.de/EN/topics/digitalisation/digital-trial-fields.html
Fraunhofer Institute. (2021). CATCH project: Robotics in agriculture. Available at: <https://www.fraunhofer.de>
Getahun, S., Kefale, H., and Gelaye, Y. (2024). Application of precision agriculture technologies for sustainable crop production and environmental sustainability: A systematic review. The Scientific World Journal, 2024(1), 2126734. https://doi.org/10.1155/2024/2126734
Gebbers, R., and Adamchuk, V. I. (2010). Precision agriculture and food security. Science, 327(5967), 828–831. https://doi.org/10.1126/science.1183899
Gouvernement français. (2021). Plan de relance: Agriculture. Available at: <https://www.gouvernement.fr>
Hantrais, L. (2008). International comparative research: Theory, methods and practice. London, UK: Bloomsbury Publishing.
International Business Machines (IBM). (2021). IBM Food Trust: Blockchain for food supply chain. Available at: <https://www.ibm.com>
Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAe). (2022). SMARTAGRI project report. https://www.inrae.fr
Kabato, W., Getnet, G. T., Sinore, T., Nemeth, A., and Molnár, Z. (2025). Towards Climate-Smart Agriculture: Strategies for Sustainable Agricultural Production, Food Security, and Greenhouse Gas Reduction. Agronomy, 15(3), 565. https://doi.org/10.3390/agronomy15030565
Kamilaris, A., and Prenafeta Boldú, F. X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147, 70–90. https://doi.org/10.1016/j.compag.2018.02.016
Klerkx, L., Jakku, E., and Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90–91, 100315. https://doi.org/10.1016/j.njas.2019.100315
Korea Agriculture Technology Promotion Agency )KATPA(. (2021). Annual report on smart farming technologies. Available at: <https://www.koreascience.kr/article/JAKO202216758860726.page>
Liakos, K. G., Busato, P., Moshou, D., Pearson, S., and Bochtis, D. (2018). Machine learning in agriculture: A review. Sensors, 18(8), 2674. https://doi.org/10.3390/s18082674
Lioutas, E. D., and Charatsari, C. (2020). Smart farming and short food supply chains: Are they compatible?. Land Use Policy, 94, 104541. https://doi.org/10.1016/j.landusepol.2020.104541
Maffezzoli, F., Ardolino, M., Bacchetti, A., Perona, M., and Renga, F. (2022). Agriculture 4.0: A systematic literature review on the paradigm, technologies and benefits. Futures, 142, 102998. https://doi.org/10.1016/j.futures.2022.102998
Ministerio de Agricultura y Pesca, Alimentación y Medio Ambiente (MAPAMA). (2021). Digitalización Del Sector Agroalimentario. https://www.mapa.gob.es/es/ministerio/planes-estrategias/estrategia-digitalizacion-sector-agroalimentario
Ministry of Agriculture and Rural Affairs (MARA). (2023). China’s agricultural modernization plan 2021-2025. Available at: <https://english.moa.gov.cn/>
Ministry of Agriculture, Food and Rural Affairs (MAFRA). (2022). National Smart Farm Expansion Plan. Available at: <https://www.mafra.go.kr>
Ministry of Agriculture, Forestry and Fisheries (MAFF). (2023). Smart agriculture promotion strategy. Available at: <https://www.maff.go.jp>
Naïo Technologies. (2021). VITIROBOT: Autonomous vineyard robot. Available at: <https://www.naio-technologies.com>
National Agriculture and Food Research Organization (NARO). (2021). Robotic farming in Japan. Available at: <https://www.naro.go.jp>
Nonaka, I. (2009). The knowledge-creating company. In D. Neef, G. A. Siesfeld, & J. Cefola (Eds.), The economic impact of knowledge (pp. 175–187). Routledge. https://doi.org/10.4324/9780080505022-16
Nonaka, I., Takeuchi, H., and Umemoto, K. (1996). A theory of organizational knowledge creation. International Journal of Technology Management, 11(7–8), 833–845. https://doi.org/10.1504/IJTM.1996.025472
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847
Ortiz-Bobea, A., Chambers, R. G., He, Y., and Lobell, D. B. (2025). Large increases in public R&D investment are needed to avoid declines of US agricultural productivity. Proceedings of the National Academy of Sciences of the United States of America, 122(11), e2411010122. https://doi.org/10.1073/pnas.2411010122
Ouda, S., and Zohry, A. E. H. (2022). Climate-smart agriculture. Springer International Publishing.
Reca, J., Martínez, J., Marín, P. M., Galindo, C., Peña, A. A., and Valera, D. L. (2025). Experimental evaluation of the water productivity and water footprint of a greenhouse tomato crop for different blends of desalinated seawater and two growing media. Agronomy, 15(6), 1312. https://doi.org/10.3390/agronomy15061312
Rihoux, B., and Ragin, C. C. (2009). Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques. USA: Sage.
Ritonga, R. R., Ernanda, Y., and Simbolon, S. (2024). Integrating knowledge management and change: exploring SECI model applications in SME’s and modern organizations. Bisnis-Net Jurnal Ekonomi dan Bisnis, 7(2), 927-931. https://doi.org/10.46576/bn.v7i2.5534
Rose, D. C., and Chilvers, J. (2018). Agriculture 4.0: Broadening responsible innovation in an era of smart farming. Frontiers in Sustainable Food Systems, 2, 387545. https://doi.org/10.3389/fsufs.2018.00087
Rotz, S., Gravely, E., Mosby, I., Duncan, E., Finnis, E., Horgan, M., LeBlanc, J., Martin, R. C., Neufeld, H. T., Nixon, A., Pant, L. P., Shalla, V., and Fraser, E. (2019). Automated pastures and the digital divide: How agricultural technologies are shaping labour and rural communities. Journal of Rural Studies, 68, 112–122. https://doi.org/10.1016/j.jrurstud.2019.01.023
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. UK: McGraw-Hill.
Serviço Nacional de Aprendizagem Rural (SENAR). (2023). Digital training for farmers. https://www.senar.org.br
Tang, P., Liang, Q., Li, H., and Pang, Y. (2024). Application of internet-of-things wireless communication technology in agricultural irrigation management: A review. Sustainability, 16(9), 3575. https://doi.org/10.3390/su16093575
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Tsouros, D. C., Bibi, S., and Sarigiannidis, P. G. (2019). A review on UAV-based applications for precision agriculture. Information, 10(11), 349. https://doi.org/10.3390/info10110349
Unicef. (2024). The state of food security and nutrition in the world 2024. Available at: <https://www.fao.org/agrifood-economics/publications/detail/en/c/1707842/>
United Nations. (2024). World Population Prospects 2024: Summary of Results. UN DESA/POP/2024/TR/NO. 9. Stylus Publishing, Limited Liability Company (LLC). New York: United Nations.
USDA. (2023). ReConnect program: Rural broadband initiative. Available at: <https://www.usda.gov>
Wolfert, S., Ge, L., Verdouw, C., and Bogaardt, M.-J. (2017). Big data in smart farming – A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
