Aronson, E., Wilson, T. D., & Akert, R. M. (2005). Social Psychology – The Heart and the Mind (Psychologia społeczna – serce i umysł). Poznań: Zysk i S-ka.
Adhitya, Y., Prakosa, S. W., Koppen, M., & Leu, J. S. (2020). Feature Extraction for Cocoa Bean Digital Image Classification Prediction for Smart Farming Application. Agronomy, 10(11), 1642.
Ajzen, I. (1985). From intentions to action: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action control: From cognitions to behaviors (pp. 11–39). New York: Springer.
Allen, P., Van Dusen, D., Lundy, J., & Gliessman, S. (1991). Integrating social, environmental, and economic issues in sustainable agriculture. American Journal of Alternative Agriculture, 6(1), 34–39.
Argilés, J.M. (2001). Accounting information and the prediction of farm non-viability. Eur. Account. Rev., 10, 73–105. https://doi.org/10.1080/713764592.
Ayed, R.B. & Hanana, M. (2021), Artificial Intelligence to Improve the Food and Agriculture Sector, Journal and Food Quality, 2021, 5584754. https://doi.org/10.1155/2021/5584754
Bastan, R., Khorshid-Doust, R., Sisi S. D., & Ahmadvand, A. (2018). Sustainable development of agriculture: a system dynamics model. Kybernetes, 47(1), 142–162. https://doi.org/10.1108/K-01-2017-0003
Beluhova-Uzunova, R. P., & Dunchev, D. M. (2019). Precision farming – concepts and perspectives. Problems of Agricultural Economics, 3(360), 142–155. https://doi.org/10.30858/zer/112132
Borychowski, M., Stępień, S., Polcyn, J., Tosovic-Stevanovic, A., Calovic, D., Lalic, G., & Zuza, M. (2020). Socio-Economic Determinants of Small Family Farms' Resilience in Selected Central and Eastern European Countries. Sustainability, 12(24), 10362. https://doi.org/10.3390/su122410362
Buntak, K., Kovacic, M., Matuvdzija, M. (2021). Application of Artificial Intelligence in The Business. International Journal for Quality Research, 15(2), 403–416. https://doi.org/10.24874/IJQR15.02-03
Tessler, C., Seaton, C., Sanzovo, M., Mukerjee, R., Bala, V., & Guo, X. (2019). The Potential of Artificial Intelligence to Support Smallholder Farmers and Agricultural Enterprises. Bhadra: Self-Employed Women's Association SEWA.
Czyżewski, B., Czyżewski, A., Kryszak, Ł. (2019). The Market Treadmill Against Sustainable Income of European Farmers: How the CAP Has Struggled with Cochrane's Curse. Sustainability, 11(791).
Denzin, N. K., & Lincoln, Y. S. (2000). Introduction: The discipline and practice of qualitative research. In N.K. Denzin, Y.S. Lincoln (Eds.), Handbook of Qualitative Research (2nd ed.). Thousand Oaks: Sage Publications.
Eager, J., Whittle, M., Smit, J., Cacciaguerra, G., Lale-Demoz, E., et al. (2020). Opportunities of Artficial Intelligence. Luxembourg: the Policy Department for Economic, Scientific and Quality of Life Policies, European Parliament.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal, PP(99), 1–17.
European Commission. (2011). What is a Small Farm? EU Agricultural Economics Brief, 2. Brussels: European Commission on Agriculture and Rural Development.
Foley J. A., De Fries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., & Chapiet, F.S. (2005). Global Consequences of Land Use. Science, 309, 5734. https://doi.org/10.1126/science.1111772
Fountas, S., Mylonas, N., Malounas, I., Rodias, E., Santos, C. H., & Pekkeriet, E. (2020). Agricultural Robotics for Field Operations. Sensors, 20(9), 2672. https://doi.org/10.3390/s20092672
Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., et al. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67, 101741.
Gandge, Y., Sandhy, A, & IEEE (2017). A Study on Various Data Mining Techniques for Crop Yield Prediction. Proceedings of the International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (Iceeccot), 420–423.
Gruchelski, M., & Niemczyk, J. (2016). Małe gospodarstwa rolne w Polsce a paradygmat rozwoju zrównoważonego (Small farms in Poland and the paradigm of sustainable development). Adv. Food Process. Tech., 2, 134–140.
Guiomar, N., Godinho, S., Pinto-Correia, T., Almeida, M., Bartolini, F., Bezák, P., & Wästfelt, A. (2018). Typology and distribution of small farms in Europe: Towards a better picture. Land Use Policy, 75, 784–798.
Guth, M., Smędzik-Ambroży, K. Czyżewski, B., & Stępień, S. (2020). The Economic Sustainability of Farms under Common Agricultural Policy in the European Union Countries. Agriculture, 10(2), 34. https://doi.org/10.3390/agriculture10020034
Gwagwa, A., Kazim, E., Kachidza, P., Hilliard, A., Siminyu, K., Smith, M., & Shawe-Taylor, J., (2021). Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture. Patterns, 2(12), 100381. https://doi.org/10.1016/j.patter.2021.100381
Hennessy, T., Läpple, D., & Moran, B. (2016) The digital divide in farming: A problem of access or engagement? Appl. Econ. Persp. Policy, 38, 474–491. https://doi.org/10.1093/aepp/ppw015
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2022). Understanding the potential applications of Artificial Intelligence in Agriculture Sector. Advanced Agrochem. https://doi.org/10.1016/j.aac.2022.10.001
Konecki, K. (2000). Studia z metodologii badań jakościowych. Teoria ugruntowana (Studies in qualitative research methodology. Grounded theory). Warsaw: PWN.
Lowder, S. K., Skoet, J., & Raney, T. (2016). The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Dev., 87, 16–29. https://doi.org/10.1016/j.worlddev.2015.10.041
Mahajan, S., Das, A., & Sardana, H. K. (2015). Image acquisition techniques for assessment of legume quality. Trends in Food Science & Technology, 42(2), 116–133. https://doi.org/10.1016/j.tifs.2015.01.001
Mehrabi, Z., McDowell, M. J., & Ricciardi, V. et al. (2021). The global divide in data-driven farming. Nat Sustain, 4, 154–160. https://doi.org/10.1038/s41893-020-00631-0
Mhlanga, D. (2021). Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies? Sustainability, 13(5788), 1–16.
Moskvin, G. A. (1998). Artificial intelligence measuring, automatic control and expert systems in agriculture. IFAC Proceedings Volumes, 31(5), 163–167.
Pasikowski, S. (2015). Czy wielkość jest niezbędna? O rozmiarze próby w badaniach jakościowych (Is The Size is Necessary? About The Sample Size in Qualitative Research). Educational Studies Review, 21(2), 195–211. http://dx.doi.org/10.12775/PBE.2015.055
Patel, G. S., Rai, A., Das, N. N., & Singh, R. P. (2021). In Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Boca Raton (FL): CRC Press.
Patricio, D. I. & Rieder, R. (2018). Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and Electronics in Agriculture, 153, 69–81.
Pinstrup-Andersen, P., & Hazell, P. B. (1985). The impact of the Green Revolution and prospects for the future. Food Reviews International, 1(1), 1–25.
Ren, G. Q., Lin, T., Ying, Y. B., Chowdhary, G., & Ting, K. C. (2020). Agricultural robotics research applicable to poultry production: A review. Computers and Electronics in Agriculture, 169, 14.
Rose, D. C., Wheeler, R., Winter, M., Lobley, M., & Chivers, C.-A. (2021). Agriculture 4.0: Making it work for people, production, and the planet. Land Use Policy, 100, 104933. https://doi.org/10.1016/j.landusepol.2020.104933
Samoili, S., López Cobo, M., Gómez, E., De Prato, G., Martínez-Plumed, F., & Delipetrev, B. (2020). AI Watch. Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence. Luxembourg: Publications Office of the European Union.
Siqueira, T. T., Gallian, D., Nguyen, G., & Bánkuti, F.I. (2021). Organizational Forms and Agri-Environmental Practices: The Case of Brazilian Dairy Farms. Sustainability, 13, 3762.
Skvortsov, E. A. (2020). Prospects of Applying Artificial Intelligence Technologies in the Regional Agriculture. Ekonomika Regiona-Economy of Region, 16, 563–576. http://doi.org/10.17059/2020-2-17
Smędzik-Ambroży, K., Matuszczak, A., Kata, R., & Kułyk, P. (2021). The Relationship of Agricultural and Non-Agricultural Income and Its Variability in Regard to Farms in the European Union Countries. Agriculture, 11(3), 196.
Sulewski, P., Wąs, A., Kobus, P., Pogodzińska, K., Szymańska, M., & Sosulski, T. (2020). Farmers' Attitudes towards Risk—An Empirical Study from Poland. Agronomy, 10, 1555.
Tanghe, T. (2021). Boosting the use of Artificial Intelligence in Europe's micro, small and medium-sized Enterprises. Brussel: The European Economic and Social Committee.
Theuvsen, L. (2013). Risks and Risk Management in Agriculture. Georg August University of Goettingen, Department of Agricultural Economics and Rural Development, Goettingen, Germany.
Tzachor, A., Devare, M., King, B., Avin, S., & ÓhÉigeartaigh, S. (2022). Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities. Nat Mach Intell 4, 104–109.
Vohra, A., Pandey, N., & Khatri, S. K. 2019. Decision Making Support System for Prediction of Prices in Agricultural Commodity. Proceedings of the 2019 Amity International Conference on Artificial Intelligence (Aicai), 345–348.
Yu, J., Wei, Q. F., & Luo, C. S. (2017). Discussion on the development trend of agricultural science and Technology Advisory Service Based on Artificial Intelligence. Proceedings of 3rd International Symposium on Social Science (Isss 2017), 61, 504–506.
Zhai, Z. Y., Martinez, J. F., Beltran, V., & Martinez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 16.
Zhang, Y., Balochian, S., Agarwal, P., Bhatnagar, V., & Housheya, O. J. (2014). Artificial Intelligence and Its Applications. Mathematical Problems in Engineering, 2016, 1–10. https://doi.org/10.1155/2016/3871575