Analysis of information technology adoption in polish agriculture

• Autorzy: Dmowski Kamil , Bartyna Waldemar , Stępniak Marcin

Identyfikatory

DOI

10.34739/si.2024.31.08

• Języki publikacji: EN

Abstrakty

EN

This study explores the adoption of information technology (IT) in Polish agriculture, focusing on its impact on efficiency, profitability, and farmers’ perceptions of associated costs. A survey conducted among 106 farmers from all Polish provinces assessed their use of IT tools, including farm management software and automatic machine navigation systems. The results highlight the varying degrees of IT adoption based on farm size, with larger farms demonstrating greater integration of these technologies. Farmers’ views on the cost-effectiveness of these systems were mixed, indicating room for improvement in affordability and functionality. The study underscores the potential of IT to enhance agricultural practices but notes the barriers faced by smaller farms in adopting such technologies.

Słowa kluczowe

EN

polish agriculture; farm management software; intelligent systems; information technology

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2024
• Tom: vol. 2 (31)
• Strony: 103--115
• Opis fizyczny: Bibliogr. 27 poz., fot., rys., tab., wykr.

Twórcy

autor

Dmowski Kamil

• University of Siedlce, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0009-0005-7604-6990

autor

Bartyna Waldemar

• University of Siedlce, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0001-5218-9579

autor

Stępniak Marcin

• University of Siedlce, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0002-5113-272X

Bibliografia

• 1. Deere & Company: Guidance | Precision Ag Technology | John Deere New Zealand. https: //www.deere.co.nz/en/technology-products/precision-ag-technology/guidance/, [Accessed 12-11-2024].
• 2. Adewusi, A., Asuzu, O.F., Olorunsogo, T., Iwuanyanwu, C., Adaga, E., Daraojimba, D.: Ai in precision agriculture: A review of technologies for sustainable farming practices. World Journal of Advanced Research and Reviews (02 2024). https://doi.org/10.30574/wjarr.2024.21.1. 0314
• 3. Adli,H.K.,Remli,M.A.,WanSalihinWong,K.N.S.,Ismail,N.A.,González-Briones,A.,Corchado, J.M., Mohamad,M.S.:Recentadvancementsandchallengesofaiotapplication in smart agriculture: Areview.Sensors23(7)(2023).https://doi.org/10.3390/s23073752,https://www.mdpi. com/1424-8220/23/7/3752
• 4. agroOSA.pl:agroOSA-nawigacje-rolnicze-agroosa.pl.https://www.agroosa.pl/,[Accessed 12-11-2024].
• 5. AgroPower:AgroAsystent-NajlepszypomocnikkazdegoRolnika!-oprogramowaniedlarolnictwa. http://agroasystent.pl/, [Accessed 12-11-2024].
• 6. Assimakopoulos, F., Vassilakis, C., Margaris, D., Kotis, K., Spiliotopoulos, D.: Artificial intelligence tools for the agriculture value chain: Status and prospects. Electronics 13(22) (2024). https://doi.org/10.3390/electronics13224362, https://www.mdpi. com/2079-9292/13/22/4362
• 7. Assimakopoulos, F., Vassilakis, C., Margaris, D., Kotis, K., Spiliotopoulos, D.: The implementation of “smart” technologies in the agricultural sector: A review. Information 15(8) (2024). https: //doi.org/10.3390/info15080466, https://www.mdpi.com/2078-2489/15/8/466
• 8. B,K.S.: Industrial Automation Solutions for Plc, Scada, Drive and Field Instruments: Easy to Learn Industrial Automation. Harpercollins 360 (2020).
• 9. Buchwald, P., Granosik, G., Gwiazda, A.: INTERNET RZECZY I JEGO PRZEMYSŁOWE ZASTOSOWANIA. PWE(2022) 10. eAgronom: About Us - eAgronom. https://www.eagronom.com/about, [Accessed 12-11.2024].
• 11. Friha, O., Ferrag, M.A., Shu, L., Maglaras, L., Wang, X.: Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies. IEEE/CAA Journal of Automatica Sinica 8(4), 718-752 (2021). https://doi.org/10.1109/JAS.2021.1003925
• 12. Han, D.: Big data analytics, data science, ml&ai for connected, data-driven precision agriculture and smart farming systems: Challenges and future directions. In: Proceedings of Cyber-Physical Systems and Internet of Things Week 2023. p. 378-384. CPS-IoT Week ’23, Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3576914.3588337, https://doi.org/10.1145/3576914.3588337
• 13. Inc., T.: Home- Trimble Agriculture - ww2.agriculture.trimble.com. https://ww2. agriculture.trimble.com/, [Accessed 12-11-2024].
• 14. ISO/TC 22/SC 3, I...: Road vehicles- Controller area network (CAN)- Part 2: High-speed medium access unit. American National Standards Institute (ANSI) (2007).
• 15. Jarczewski, M.: agopengps|nawigacja rolnicza gps rtk|New Technology Farm. https://www. agopengps.pl/en, [Accessed 12-11-2024].
• 16. Manoj, M., PASCHAPUR, A., Manideep, S., B., T.: Precision farming solutions: Integrating technology for sustainable pest management. Journal of Advances in Biology & Biotechnology 27 (07 2024). https://doi.org/10.9734/jabb/2024/v27i81119
• 17. Oliveira, R.C.d., Silva, R.D.d.S.e.: Artificial intelligence in agriculture: Benefits, challenges, and trends. Applied Sciences 13(13) (2023). https://doi.org/10.3390/app13137405, https://www.mdpi.com/2076-3417/13/13/7405
• 18. Raven: Guidance & Steering | Raven Portal. https://portal.ravenprecision.com/ guidance-steering, [Accessed 12-11-2024].
• 19. RolnikON: RolnikON- Wspomaganie rolnictwa. https://rolnikon.pl/, [Accessed 12-11 2024].
• 20. Salatin, J.: You Can Farm- Jak założyć i prowadzić dochodowe gospodarstwo. Wydawnictwo Regeneratywnie.pl (2021).
• 21. Sikorski, M., Roman, A.: Internet Rzeczy. Wydawnictwo Naukowe PWN (2019).
• 22. StatSoft GmbH: TIBCO Statistica. https://www.statsoft.de/en/ data-science-applications/tibco-statistica/, [Accessed 12-11-2024].
• 23. Stępień, M., Pudełko, R., Gozdowski, D., Dobers, E.S., Samborski, S.: Rolnictwo precyzyjne. Wydawnictwo Naukowe PWN (2018) 24. Topcon:TopconPositioning Systems, Inc. https://www.topconpositioning.com/,[Accessed 12-11-2024].
• 25. Ustawa o kształtowaniu ustroju rolnego z 11 kwietnia 2003 roku (Dz.U. z 2024 r. poz. 423).
• 26. Vallejo-Gómez, D., Osorio, M., Hincapié, C.A.: Smart irrigation systems in agriculture: A systematic review. Agronomy 13(2) (2023). https://doi.org/10.3390/agronomy13020342, https://www.mdpi.com/2073-4395/13/2/342
• 27. xFarm Technologies: xFarm- The app for farm management! https://xfarm.ag/en, [Accessed 12-11-2024].

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).