References
- Abrol, V., Gupta, G. & Pradhan, S.R. 2025. Smart farming: An integrated platform for crop and fertilizer prediction using machine learning and orange data mining. SN Computer Science, 6(508). https://doi.org/10.1007/s42979-025-03957-8
- Apáti, F. 2014. Farm economic evaluation of raspberry production. International Journal of Horticultural Science, 20(3–4): 53–56. https://doi.org/10.31421/IJHS/20/3-4/1135
- Bhandarkar, M.S., Dewan, B. & Bansal, P. 2024. Real time crop harvest time prediction model using raspberry Pi and image processing. Proceedings of the 3rd International Conference for Advancement in Technology (ICONAT), 06-08 September 2024. GAO, India. 1-6. IEEE. https://doi.org/10.1109/ICONAT61936.2024.10774708
- Chen, Z., Wang, J., Xi, R. & Ren, Z. 2024. Analysis of leaf cover on raspberry fruits based on hyperspectral techniques combined with machine learning models. https://doi.org/10.21203/rs.3.rs-4607290/v1
- Dash, S., Priyadarshini, S. & Priyadarshini, S. 2024. An in depth review on machine learning infusion in an agricultural production system. In: A. Dey, S. Nayak, R. Kumar and S.N. Mohanty, eds. How machine learning is innovating today's world: A concise technical guide, pp. 253-270. Scrivener Publishing LLC.
- Ispiryan, A., Giedraitis, A., Sermuksnyte-Alesiuniene, K., Butu, M., Atkociuniene, V., Butu, A., Viskelis, J. & Miceikiene, A. 2023. Sustainable development solutions: growing and processing raspberries on Lithuanian farms. Foods, 12(21): 3930. https://doi.org/10.3390/foods12213930
- Jabade, V., Ingale, H., Jadhao, R. & Gode, O. 2024. Machine learning driven forecasting and marketing optimization platform for sustainable agriculture. Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). 18-20 November, 2024. Tirunelveli, Tamil Nadu, India. 842-846. IEEE.
- Kljajić, N., Subić, J. & Sredojević, Z. 2017. Profitability of raspberry production on holdings in the territory of Arilje. Economics of Agriculture, 64(1): 57-68. https://doi.org/10.5937/ekoPolj1701057K
- Kljajić, N., Vuković, P. & Arsić, S. 2023. Production and foreign trade exchange of raspberries: Case study of Serbia. Western Balkan Journal of Agricultural Economics and Rural Development, 5(1): 91-105. https://doi.org/10.5937/WBJAE2301091K
- Kulkarni, R.R., Sharma, A.D., Koundinya, B.K., Anirudh, C. & Yashas, N. 2025. Effective and efficient automatic detection, prediction and prescription of potential disease in berry family. Multimedia Tools and Applications, 84(22): 25567-25595. http://dx.doi.org/10.1007/s11042-024-19896-0
- Leposavić, A. 2023. Savremena proizvodnja maline [Contemporary raspberry production]. Institut za voćarstvo, Čačak, Poljoprivredni fakultet, Kruševac.
- Lukić, M. 2015. Elaborat zasnivanja i održavanja zasada maline. Projekat: Tehničko-tehnološki modeli intenzivnih zasada voćaka i jačanje ljudskih kapaciteta u funkciji unapređenja voćarske proizvodnje Republike Srbije, Institut za voćarstvo Čačak. [Elaborate on establishment and maintenance of raspberry plantations. Project: Technical-technological models of intensive fruit tree plantations and strengthening of human capacities in the function of improving fruit production of the Republic of Serbia, Fruit research Institute Čačak.]
- Milinković, J., Dragojlović, D. & Janković, V. 2005. Malina [Raspberry]. DP Zavod za Poljoprivredu „Valjevo“ – Valjevo, Ministarstvo poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
- Nedeljković, M., Nastić, L. & Puška, A. 2023. Selection of sales distribution channel in agricultural enterprise. Western Balkan Journal of Agricultural Economics and Rural Development, 5(2): 121-131. http://dx.doi.org/10.5937/WBJAE2302121N
- Official Gazette of the Republic of Serbia, No. 65/2014. Rulebook on the Method of Performing Advisory Services in Agriculture.
- Padhiary, M. 2025. The convergence of deep learning, IoT, sensors and farm machinery in agriculture. In S.G. Thandekkattu & N.R. Vajjhala, eds. Designing sustainable internet of things solutions for smart industries. pp.109-142. IGI Global.
- Paul, O., Das, J., Mondal, K., Dolui, P., Sultana, M., Bhattacharya, S. & Adhikari, N. 2024. A machine learning model for crop yield prediction. Telecom Business Review, 17(1): 1.
- Picazo-Tadeo, A.J., Reig-Martínez, E. & Hernández-Sancho, F. 2005. Calculation of shadow wages for family labour in agriculture: An application to citrus farming in Spain. European Review of Agricultural Economics, 32(3): 313–331. https://doi.org/10.3406/reae.2005.970
- Popa, R.G., Șchiopu, E.C., Pătrașcu, A., Bălăcescu, A. & Toader, F.A. 2024. Raspberry production opportunity to develop an agricultural business in the context of the circular economy: Case study in South-West Romania. Agriculture, 14(10): 1822. https://doi.org/10.3390/agriculture14101822
- Rosenzweig, M.R. & Udry, C. 2014. Agricultural productivity and labor allocation: Evidence and open questions. Berkeley, CA: Center for Effective Global Action (CEGA).
- Singh, A.K., Balabaygloo, B.J., Bekee, B., Blair, S.W., Fey, S., Fotouhi, F., Gupta, A., Jha, A., Martinez-Palomares, J.C., Menke, K., Prestholt, A., Tanwar, V.K., Tao, X., Vangala, A., Carroll, M., Das, S.K., DePaula, G., Kyveryga, P., Sarkar, S., Segovia, M., Silvestri, S. & Valdivia, C. 2024. Smart connected farms and networked farmers to improve crop production, sustainability and profitability. Frontiers in Agronomy, 6: 1410829. https://doi.org/10.3389/fagro.2024.1410829
- Survey. 2025. The survey conducted during the period May-June, 2025 with experts from PSSS Valjevo, PSSS Čačak, PSSS Kraljevo, PSSS Užice.
- Veljković, B., Petrović, S. & Leposavić, A. 2006. Profitabilnost proizvodnje maline na području Srbije [Profitability in raspberry production in Serbia]. Ekonomika poljoprivrede, 53(4): 1013-1022.