References
- Aghion, P., & Howitt, P. (1994). Growth and Unemployment. The Review of Economic Studies, 61(3), 477–494. https://doi.org/10.2307/2297900
- Bannerjee, G., Sarkar, U., Das, S., & Ghosh, I. (2018). Artificial Intelligence in Agriculture: A Literature Survey. International Journal of Scientific Research in Computer Science Applications and Management Studies, 7(3). https://www.ijsrcsams.com/images/stories/Past_Issue_Docs/ijsrcsamsv7i3p94.pdf
- China Daily. (2021, August 23). World’s Top 10 Countries in AI Innovation. https://www.chinadaily.com.cn/a/202108/23/WS6122d245a310efa1bd66a545.html
- Chu, X., Li, Y., Tian, D., Feng, J., & Mu, W. (2019). An Optimized Hybrid Model Based on Artificial Intelligence for Grape Price Forecasting. British Food Journal, 121(12), 3247–3265. https://doi.org/10.1108/BFJ-06-2019-0390
- Čechura, L., Žáková Kroupová, Z., Kostlivý, V., & Lekešová, M. (2021). Productivity and Efficiency of Precision Farming: The Case of Czech Cereal Production. Agris On-line Papers in Economics and Informatics, 3, 15–24. https://doi.org/10.7160/aol.2021.130302
- Delipetrev, B., Tsinarakii, C., & Kostić, U. (2020). Historical Evolution of Artificial Intelligence. EUR 30221EN. Publications Office of the European Union. https://doi.org/10.2760/801580
- Eli-Chukwu, N.C. (2019). Applications of Artificial Intelligence in Agriculture: A Review. Engineering, Technology & Applied Science Research, 9(4), 4377–4383. https://doi.org/10.48084/etasr.2756
- Elugbadebo, O.J., & Johnson, F.T. (2020). Re-Engineering Agricultural Practices using embedded Artificial Intelligence Techniques. Conference Proceedings on Science, Technology and Innovation for Sustainable Economic and Agricultural Research Development in Nigeria. Federal College of Animal Health and Production Technology, Ibadan, Nigeria, 323–331. https://www.researchgate.net/publication/343818123_re-engineering_agricultural_practices_using_embadded_artificial_intelligence_techniques
- Escott, E. (2017, October 24). Artificial Intelligence. What are the 3 types of AI? A guide to Narrow, General, and Super Artificial Intelligence. Codebots. https://codebots.com/artificial-intelligence/the-3-types-of-ai-is-the-third-even-possible
- Figiel, S. (2019). Rynki rolne i żywnościowe w dobie innowacji cyfrowych. Studia i Monografie, 176. IERiGŻ PIB.
- Frey, C.B., & Osborne, M.A. (2013). The Future of Employment: How Susceptible are Jobs to Computerisation? Working Paper. Oxford Martin School, University of Oxford. https://www.oxfordmartin.ox.ac.uk/publications/the--future-of-employment/
- Geli, H., Prihodko, L., Randall, J., Tran, S. C., Cao, H., Misra, S., Boucheron, L., Razzaghi, T., Sandoval, S., Daniel, D., Mora, C., & Arslan, F. (2019). Climate Adaptive Smart Systems for Future Agricultural and Rangeland Production. A White Paper on Artificial Intelligence Applications in Agriculture. New Mexico State University. https://aces.nmsu.edu/cesfas/documents/artificial-intelligence-in-agriculture---white-paper-with-summary---v6.pdf
- Goldin, C., & Katz, L.F. (2009). The Race Between Education and Technology. Harvard University Press.
- Heath, N. (2021, July 23). What is AI? Here’s Everything You Need to Know about Artificial Intelligence. ZDNET: Innovation. https://www.zdnet.com/article/what-is-ai-everything-you-need-to-know-about-artificial-intelligence/
- Hornbeck, R., & Naidu, S. (2014). When the Levee Breaks: Black Migration and Economic Development in the American South. American Economic Review, 104(3), 963–990. https://www.aeaweb.org/articles?id=10.1257/aer.104.3.963
- Jha, K., Doshi, A., Patel, P., & Shah, M. (2019). A Comprehensive Review on Automation in Agriculture using Artificial Intelligence. Artificial Intelligence in Agriculture, 2, 1–12. https://doi.org/10.1016/j.aiia.2019.05.004
- Kaplan, J. (2016). Artificial Intelligence: What Everyone Needs to Know. Oxford University Press.
- Keynes, J.M. (1932). Economic Possibilities for Our Grandchildren. In: Essays in Persuasion (pp. 358–373). Harcourt Brace. https://www.aspeninstitute.org/wp-content/uploads/files/content/upload/Intro_and_Section_I.pdf
- Khandelwal, P.M., & Chavhan, H. (2019). Artificial Intelligence in Agriculture: An emerging Era of Research. https://www.researchgate.net/publication/335582861
- Mankiw, N.G., Romer, D., & Weil, D.N. (1992). A Contribution to the Empirics of Economic Growth. The Quarterly Journal of Economics, 107(2), 407–437. https://doi.org/10.2307/2118477
- Matuszewska-Kubicz, A. (2021). Key Competencies in the Labour Market from the Perspectives of Higher Education Students. e-mentor, 5(92), 69–80. https://doi.org/10.15219/em92.1541
- McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (1955). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Dartmouth College. http://jmc.stanford.edu/articles/dartmouth/dartmouth.pdf
- Moallem, P., Serajoddin, A., & Pourghassem, H. (2017). Computer Vision-Based Apple Grading for Golden Delicious Apples based on Surface Features. Information Processing in Agriculture, 4(1), 33–40. https://doi.org/10.1016/j.inpa.2016.10.003
- Moore, P. V. (2018). Jerry Kaplan: Artificial Intelligence – What Everyone Needs to Know. Organization Studies, 40(3), 466–470. https://doi.org/10.1177/0170840618792173
- Newell, A., & Simon, H. (1956). The Logic Theory Machine: A Complex Information Processing System. IRE Transactions on Information Theory, 2(3), 61–79. https://doi.org/10.1109/TIT.1956.1056797
- Pastwa, A., Siudak, R., & Sztokfisz, B. (2019). Artificial Intelligence. Asian Periscope. The Kosciuszko Institute. https://ik.org.pl/wp-content/uploads/artificial_intelligence_asian_periscope_ver2_raport.pdf
- Ricardo, D. (1821). On the Principles of Political Economy and Taxation (3rd Ed.). John Murray.
- Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th Ed.). Pearson.
- Solow, R.M. (1957). Technical Change and the Aggregate Production Function. Review of Economics and Statistics, 39(3), 312–320.
- Statista. (2022). Global AI in Agriculture Market by Farming Type. Retrieved April 4, 2022, from https://www.statista.com/statistics/1174399/global-ai-in-agriculture-market-by-farming-type/
- U.S. Department of Agriculture (USDA). (2022). Data Products: International Agricultural Productivity. Retrieved June 7, 2022, from https://www.ers.usda.gov/data-products/international-agricultural-productivity
- Turing, A.M. (1950) Computing Machinery and Intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
- Unay, D., Gosselin, B., Kleynen, O., Leemans, V., Destain, M.-F., & Debeir, O. (2011). Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision. Computers and Electronics in Agriculture, 75(1), 204–212. https://doi.org/10.1016/j.compag.2010.11.006