AGRICULTURE 5.0 POTENTIAL AND THE APPLICATION OF ADVANCED TECHNOLOGIES IN SERBIA

Authors

  • Cariša Bešić University of Kragujevac, Faculty of technical science Čačak, 32000 Čačak, Svetog Save 65, Serbia
  • Dragan Ćoćaklo University of Novi Sad, Technical faculty “Mihajlo Pupin” in Zrenjanin, 23000 Zrenjanin, Đure Đakovića bb, Serbi
  • Mihalj Bakator University of Novi Sad, Technical faculty “Mihajlo Pupin” in Zrenjanin, 23000 Zrenjanin, Đure Đakovića bb, Serbia
  • Marijana Vidas-Bubanja Alfa BK University, Faculty of finance, banking and auditing, 11000 Belgrade, Bulevar maršala Tolbuhina 8, Serbia
  • Sanja Stanisavljev University of Novi Sad, Technical faculty “Mihajlo Pupin” in Zrenjanin, 23000 Zrenjanin, Đure Đakovića bb, Serbia

DOI:

https://doi.org/10.59267/ekoPolj2502599B

Keywords:

Agriculture 5.0, development, Serbia, AI, advanced technologies

Abstract

This study explores key factors influencing Agriculture 5.0 adoption in Serbia, focusing on investment trends, government R&D funding, IoT adoption, and rural internet penetration. Data and literature analysis reveals that domestic investment and R&D spending drive digital transformation, and foreign investment remains volatile. IoT and internet expansion support smart farming but require further investment. Policy recommendations include strengthening digital infrastructure and increasing support for agricultural innovation. Future research should examine long-term investment impacts and sustainability benefits to improve Serbia’s transition to digital agriculture.  

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References

Aggarwal, M., Khullar, V., & Goyal, N. (2024). Agriculture in society 5.0. In Artificial Intelligence and Society 5.0 (pp. 154-162). Chapman and Hall/CRC. https://doi.org/10.1201/9781003397052

Ayranci, A. A., & Erkmen, B. (2024, May). Edge Computing and Robotic Applications in Modern Agriculture. In 2024 International Congress on Human- Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-6). IEEE. https://doi.org/10.1016/10.1109/HORA61326.2024.10550846

Bakator, M., Đorđević, D., & Ćoćkalo, D. (2019). Developing a model for improving business and competitiveness of domestic enterprises. Journal of Engineering Management and Competitiveness (JEMC), 9(2), 87-96

Bissadu, K. D., Sonko, S., & Hossain, G. (2024). Society 5.0 enabled agriculture: Drivers, enabling technologies, architectures, opportunities, and challenges. Information Processing in Agriculture. https://doi.org/10.1016/j.inpa.2024.04.003

Catala-Roman, P., Segura-Garcia, J., Dura, E., Navarro-Camba, E. A., Alcaraz- Calero, J. M., & Garcia-Pineda, M. (2024). AI-based autonomous UAV swarm system for weed detection and treatment: Enhancing organic orange orchard efficiency with agriculture 5.0. Internet of Things, 28, 101418. https://doi.org/10.1016/j.iot.2024.101418

Ćoćkalo D., Đorđević D., Kavalić M., & Bešić C. (2019). Implementation of certification schemes in the Balkan agro-food sector. Ekonomika poljoprivrede, 66(1), 77-88.

Corallo, A., Latino, M. E., Menegoli, M., & Signore, F. (2024). Digital technologies for sustainable development of agri-food: implementation guidelines toward Industry 5.0. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2024.3403251

Cvijanović, D. (2020). Support to rural tourism development in Vojvodina by local population. Knowledge International Journal, 41(1), 63 - 69. Retrieved from https://ikm.mk/ojs/index.php/KIJ/article/view/4420

Das, A., Debnath, B., Sengupta, A., Das, A., & De, D. (2024). Sustainability analysis of FarmFox IoT device towards Agriculture 5.0. Environment, Development and Sustainability, 1-29. https://doi.org/10.1007/s10668-024-05356-0

de la Parte, M. S. E., Martínez-Ortega, J. F., Castillejo, P., & Lucas-Martínez, N. (2024). Spatio-temporal semantic data management systems for IoT in agriculture 5.0: Challenges and future directions. Internet of Things, 25, 101030. https://doi.org/10.1016/j.iot.2023.101030

Demircioglu, P., Bogrekci, I., Durakbasa, M. N., & Bauer, J. (2023, October). Autonomation, Automation, AI, and Industry-Agriculture 5.0 in Sustainable Agro- Ecological Food Production. In The International Symposium for Production Research (pp. 545-556). Cham: Springer Nature Switzerland.

Đoković, F., Pejanović, R., Mojsilović, M., Boljanović, J. Đ., & Plećić, K. (2017). Opportunities to reimportantise rural tourism through the operation of agrarian cooperatives. Economics of Agriculture, 64(3), 1115-1132. DOI:10.5937/ekoPolj1703115D

Đurić, D., Ristić, J., Đurić, D., & Vujanić, I. (2017). Export of agricultural and food products in the function of economic growth of Republic of Serbia. Ekonomika poljoprivrede, 64(3).

Food and Agriculture Organization of the United Nations – FAO (2024). Data on agriculture domains. https://www.fao.org/faostat/en/#data

Fountas, S., Espejo-García, B., Kasimati, A., Gemtou, M., Panoutsopoulos, H., & Anastasiou, E. (2024). Agriculture 5.0: Cutting-edge technologies, trends, and challenges. IT Professional, 26(1), 40-47. https://doi.org/10.1109/ITP.2024.3358972

Haloui, D., Oufaska, K., Oudani, M., & El Yassini, K. (2024). Bridging industry 5.0 and agriculture 5.0: historical perspectives, opportunities, and future perspectives. Sustainability, 16(9), 3507. https://doi.org/10.3390/su16093507

Holzinger, A., Fister Jr, I., Fister, I., Kaul, H. P., & Asseng, S. (2024). Human- centered ai in smart farming: Towards agriculture 5.0. IEEe Access. https://doi.org/10.1109/ACCESS.2024.3395532

Imade, A., Ounacer, S., El Ghoumari, M. Y., Ardchir, S., & Azzouazi, M. (2024). Agricultural yield prediction using ML algorithms in the Industry 5.0. In Industry 5.0 and Emerging Technologies: Transformation Through Technology and Innovations (pp. 135-157). Cham: Springer Nature Switzerland.

Juwono, F. H., Wong, W. K., Verma, S., Shekhawat, N., Lease, B. A., & Apriono, C. (2023). Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review. Artificial Intelligence in Agriculture, 10, 13-25. https://doi.org/10.1016/j.aiia.2023.09.002

Kalpana, S., Babu, K. G., Padmavathi, T. V. N., Sharma, B., Hari, B. S., & Sudha, M. (2024). The Fusion of AI, IoT, and Agricultural Sensors for Self-Sustaining Agro-Technological Ecosystems: Industry 5.0. In Convergence of Human Resources Technologies and Industry 5.0 (pp. 274-299). IGI Global. https://doi.org/10.4018/979-8-3693-1343-5.ch015

Martos, V., Ahmad, A., Cartujo, P., & Ordoñez, J. (2021). Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0. Applied Sciences, 11(13), 5911. https://doi.org/10.3390/app11135911

Mesías-Ruiz, G. A., Pérez-Ortiz, M., Dorado, J., De Castro, A. I., & Peña, J. M. (2023). Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review. Frontiers in Plant Science, 14, 1143326.

Mishra, N., Bhandari, N., Maraseni, T., Devkota, N., Khanal, G., Bhusal, B., ... & Danuwar, R. K. (2024). Technology in farming: Unleashing farmers’ behavioral intention for the adoption of agriculture 5.0. Plos one, 19(8), e0308883. https://doi.org/10.1371/journal.pone.0308883

Mohan, K. J., Mary, I. B., & Paul, J. J. (2023, December). IoT and industry 5.0 revolutionizing agriculture: a comprehensive review of sustainable advancements in precision farming. In International Conference on Computer Vision and Internet of Things 2023 (ICCVIoT’23) (Vol. 2023, pp. 169-175). IET.

Morchid, A., El Alami, R., Raezah, A. A., & Sabbar, Y. (2024). Applications of Internet of Things (IoT) and Sensors Technology to Increase Food Security and Agricultural Sustainability: Benefits and Challenges. Ain Shams Engineering Journal, 15(3), 102509. https://doi.org/10.1016/j.asej.2023.102509

Munir, A., & Elahi, H. (2023). An Interdisciplinary Approach to Artificial Intelligence in Agriculture. AI, 4(1), 1-20. https://doi.org/10.1080/27685241.202 3.2168568

Pandrea, V. A., Ciocoiu, A. O., & Machedon-Pisu, M. (2023, June). IoT-based irrigation system for agriculture 5.0. In 2023 17th International Conference on Engineering of Modern Electric Systems (EMES) (pp. 1-4). IEEE. https://doi.org/10.1109/EMES58375.2023.10171631

Polymeni, S., Plastras, S., Skoutas, D. N., Kormentzas, G., & Skianis, C. (2023). The impact of 6G-IoT technologies on the development of agriculture 5.0: A review. Electronics, 12(12), 2651. https://doi.org/10.3390/electronics12122651

Ragazou, K., Garefalakis, A., Zafeiriou, E., & Passas, I. (2022). Agriculture 5.0: A new strategic management mode for a cut cost and an energy efficient agriculture sector. Energies, 15(9), 3113. https://doi.org/10.3390/en15093113

Razak, S. F. A., Yogarayan, S., Sayeed, M. S., & Derafi, M. I. F. M. (2024). Agriculture 5.0 and explainable ai for smart agriculture: A scoping review. Emerging Science Journal, 8(2), 744-760. https://doi.org/10.28991/ESJ-2024-08-02-024

Republički zavod za statistiku Srbije - RZSS (2024). Poljoprivreda, ribarstvo I šumarstvo. https://www.stat.gov.rs/sr-Latn/oblasti/poljoprivreda-sumarstvo-i-ribarstvo

Sharma, A., Singh, S. K., Kumar, S., Thakur, R., Gupta, B. B., & Arya, V. (2024). IoT-enabled smart farming with Industry 5.0. Journal of High Speed Networks, 30(3), 477-496. https://doi.org/10.3233/JHS-2302

Siddharth, D., Saini, D. K., & Kumar, A. (2021). Precision agriculture with technologies for smart farming towards agriculture 5.0. Unmanned aerial vehicles for internet of things (IoT) concepts, techniques, and applications, 247-276. https://doi.org/10.1002/9781119769170.ch14

Singh, D. K., & Sobti, R. (2022). Long-range real-time monitoring strategy for Precision Irrigation in urban and rural farming in society 5.0. Computers & Industrial Engineering, 167, 107997. https://doi.org/10.1016/j.cie.2022.107997

Sivagami, S., Hemalatha, D., Belinda, C. M., & Raja, A. S. (2024). Agricultural Development in Industry 5.0: Food Manufacturing and Development. In Intelligent Systems and Industrial Internet of Things for Sustainable Development (pp. 154- 188). Chapman and Hall/CRC. https://doi.org/10.1201/9781032642789

Tiwari, R., Chand, K., Bhatt, A., Anjum, B., & Thirunavukkarasu, K. (2021). Agriculture 5.0 in India: opportunities and challenges of technology adoption. A Step Towards Society 5.0, 179-198. https://doi.org/10.1201/9781003138037

Victor, N., Maddikunta, P. K. R., Mary, D. R. K., Murugan, R., Chengoden, R., Gadekallu, T. R., ... & Paek, J. (2024). Remote Sensing for Agriculture in the Era of Industry 5.0–A survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2024.3370508

Widianto, M. H., & Juarto, B. (2023). Smart Farming Using Robots in IoT to Increase Agriculture Yields: A Systematic Literature Review. Journal of Robotics and Control (JRC), 4(3), 330-341. https://doi.org/10.18196/jrc.v4i3.18368

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Published

2025-06-17

How to Cite

Bešić, C., Ćoćaklo, D., Bakator, M., Vidas-Bubanja, M., & Stanisavljev, S. (2025). AGRICULTURE 5.0 POTENTIAL AND THE APPLICATION OF ADVANCED TECHNOLOGIES IN SERBIA. Ekonomika Poljoprivrede, 72(2), 599–616. https://doi.org/10.59267/ekoPolj2502599B

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