[1] Geza, W., Ngidi, M. S. C., Slotow, R., & Mabhaudhi, T. (2022). The dynamics of youth employment and empowerment in agriculture and rural development in South Africa: a scoping review. Sustainability (Switzerland), 14(9), 5041. DOI:10.3390/su14095041
[2] Munir, M., Sinambela, E. A., Halizah, S. N., Khayru, R. K., & Mendrika, V. (2022). Review of vocational education curriculum in the fourth industrial revolu-tion and contribution to rural development. Journal of social science studies (jos3), 2(1), 5–8. DOI:10.56348/jos3.v2i1.20
[3] Cowie, P., Townsend, L., & Salemink, K. (2020). Smart rural futures: Will rural areas be left behind in the 4th industrial revolution? Journal of rural studies, 79, 169–176. DOI:10.1016/j.jrurstud.2020.08.042
[4] Hu, X., Sun, L., Zhou, Y., & Ruan, J. (2020). Review of operational management in intelligent agriculture based on the internet of things. Frontiers of engineering management, 7(3), 309–322.
[5] Rahnamay Bonab, S., Jafarzadeh Ghoushchi, S., Deveci, M., & Haseli, G. (2023). Logistic autonomous vehicles assessment using decision support model under spherical fuzzy set integrated Choquet Integral approach. Expert systems with applications, 214, 119205. DOI:10.1016/j.eswa.2022.119205
[6] Castelló-Sirvent, F. (2022). A fuzzy-set qualitative comparative analysis of publications on the fuzzy sets theory. Mathematics, 10(8), 1322. DOI:10.3390/math10081322
[7] Porru, S., Misso, F. E., Pani, F. E., & Repetto, C. (2020). Smart mobility and public transport: Opportunities and challenges in rural and urban areas. Journal of traffic and transportation engineering, 7(1), 88–97. DOI:10.1016/j.jtte.2019.10.002
[8] Navarro, E., Costa, N., & Pereira, A. (2020). A systematic review of iot solutions for smart farming. Sensors (Switzerland), 20(15), 1–29. DOI:10.3390/s20154231
[9] Islam, N., Rashid, M. M., Pasandideh, F., Ray, B., Moore, S., & Kadel, R. (2021). A review of applications and communication technologies for internet of things (IoT) and unmanned aerial vehicle (UAV) based sustainable smart farming. Sustainability (Switzerland), 13(4), 1–20. DOI:10.3390/su13041821
[10] Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H., Pace, P., Pirbhulal, S., Yasar, A. U. H., …& Qaraqe, M. (2019). Quality of service optimization in an IoT-driven intelligent transportation system. IEEE wireless communications, 26(6), 10–17. DOI:10.1109/MWC.001.1900085
[11] Nigussie, E., Olwal, T., Musumba, G., Tegegne, T., Lemma, A., & Mekuria, F. (2020). IoT-based irrigation management for smallholder farmers in rural Sub-Saharan Africa. Procedia computer science, 177, 86–93. DOI:10.1016/j.procs.2020.10.015
[12] Tripathy, B. K., Jena, S. K., Reddy, V., Das, S., & Panda, S. K. (2021). A novel communication framework between MANET and WSN in IoT based smart environment. International journal of information technology (Singapore), 13(3), 921–931. DOI:10.1007/s41870-020-00520-x
[13] Park, E., del Pobil, A. P., & Kwon, S. J. (2018). The role of internet of things (IoT) in smart cities: Technology roadmap-oriented approaches. Sustainability (Switzerland), 10(5), 1388. DOI:10.3390/su10051388
[14] Chanak, P., & Banerjee, I. (2020). Internet-of-things-enabled smartvillages: An overview. IEEE consumer electronics magazine, 10(3), 12–18.
[15] Lemayian, J. P., & Al-Turjman, F. (2019). Intelligent IoT communication in smart environments: an overview. In Artificial intelligence in IoT (pp. 207–221). Springer. DOI:10.1007/978-3-030-04110-6_10
[16] Castañeda-Miranda, A., & Castaño-Meneses, V. M. (2020). Smart frost measurement for anti-disaster intelligent control in greenhouses via embedding IoT and hybrid AI methods. Measurement: journal of the international measurement confederation, 164, 108043. DOI:10.1016/j.measurement.2020.108043
[17] Pathinarupothi, R. K., Durga, P., & Rangan, E. S. (2019). IoT-based smart edge for global health: Remote monitoring with severity detection and alerts transmission. IEEE internet of things journal, 6(2), 2449–2462. DOI:10.1109/JIOT.2018.2870068
[18] Kumar, S., Sahoo, S., Lim, W. M., Kraus, S., & Bamel, U. (2022). Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview. Technological forecasting and social change, 178, 121599. DOI:10.1016/j.techfore.2022.121599
[19] Jafarzadeh Ghoushchi, S., Memarpour Ghiaci, A., Rahnamay Bonab, S., & Ranjbarzadeh, R. (2022). Barriers to circular economy implementation in designing of sustainable medical waste management systems using a new extended decision-making and FMEA models. Environmental science and pollution research, 29(53), 79735–79753. DOI:10.1007/s11356-022-19018-z
[20] Wang, M., & Wang, J. (2023). Uncertainty models in the integration path of rural tourism information construction and smart tourism based on big data technology. Optik, 272, 170320. DOI:10.1016/j.ijleo.2022.170320
[21] Chen, M., Zhou, Y., Huang, X., & Ye, C. (2021). The integration of new‐type urbanization and rural revitalization strategies in China: Origin, reality and future trends. Land, 10(2), 1–17. DOI:10.3390/land10020207
[22] Ahmed, N., De, D., & Hussain, I. (2018). Internet of Things (IoT) for smart precision agriculture and farming in rural areas. IEEE internet of things journal, 5(6), 4890–4899. DOI:10.1109/JIOT.2018.2879579
[23] Podder, A. K., Bukhari, A. Al, Islam, S., Mia, S., Mohammed, M. A., Kumar, N. M., …& Abdulkareem, K. H. (2021). IoT based smart agrotech system for verification of urban farming parameters. Microprocessors and microsystems, 82, 104025. DOI:10.1016/j.micpro.2021.104025
[24] Jia, H., Zhu, L., & Du, J. (2022). Fuzzy comprehensive evaluation model of the farmers’ sense of gain in the provision of rural infrastructures: the case of tourism-oriented rural areas of China. Sustainability (Switzerland), 14(10), 5831. DOI:10.3390/su14105831
[25] Yang, M., Jiao, M., & Zhang, J. (2022). Spatio-temporal analysis and influencing factors of rural resilience from the perspective of sustainable rural development. International journal of environmental research and public health, 19(19), 12294. DOI:10.3390/ijerph191912294
[26] Yizhen, C. H. I., & Linghan, L. I. (2022). The influencing factors and path selection of rural green development from the perspective of new county elite——based on fuzzy set qualitative comparative analysis. Journal of agriculture, 12(12), 87-92.
[27] Prieto-Egido, I., Sanchez-Chaparro, T., & Urquijo-Reguera, J. (2023). Impacts of information and communication technologies on the SDGs: the case of Mayu Telecomunicaciones in rural areas of Peru. Information technology for development, 29(1), 103–127. DOI:10.1080/02681102.2022.2073581
[28] Zhou, W., Qing, C., Deng, X., Song, J., & Xu, D. (2023). How does internet use affect farmers’ low-carbon agricultural technologies in southern China? Environmental science and pollution research, 30(6), 16476–16487. DOI:10.1007/s11356-022-23380-3
[29] Lanchimba, C., Porras, H., Salazar, Y., & Windsperger, J. (2024). Franchising and country development: evidence from 49 countries. International journal of emerging markets, 19(1), 7–32. DOI:10.1108/IJOEM-07-2020-0779
[30] Ghasemi, P., Hemmaty, H., Pourghader Chobar, A., Heidari, M. R., & Keramati, M. (2023). A multi-objective and multi-level model for location-routing problem in the supply chain based on the customer’s time window. Journal of applied research on industrial engineering, 10(3), 412-426. http://www.journal-aprie.com/article_149806.html
[31] Shitharth, S., Manoharan, H., Shankar, A., Alsowail, R. A., Pandiaraj, S., Edalatpanah, S. A., & Viriyasitavat, W. (2023). Federated learning optimization: A computational blockchain process with offloading analysis to enhance security. Egyptian informatics journal, 24(4), 100406. DOI:10.1016/j.eij.2023.100406
[32] Babazadeh, Y., Farahmand, N. F., Pasebani, M., & Matın, Y. A. (2022). Identifying key indicators for developing the use of blockchain technology in financial systems. International journal of research in industrial engineering, 11(3), 244–257.
[33] Colombo, J. A., Akhter, T., Wanke, P., Azad, M. A. K., Tan, Y., Edalatpanah, S. A., & Antunes, J. (2023). Interplay of cryptocurrencies with financial and social media indicators: an entropy-weighted neural-MADM approach. Journal of operational and strategic analytics, 1(4), 160–172. DOI:10.56578/josa010402
[34] Torabi, S. (2023). Review of blockchain integrated WSN. Computational algorithms and numerical dimensions, 2(1), 7–11.
[35] Cao, Y., Fu, F., Nejati, F., Chabok, S. H., & Edalatpanah, S. A. (2022). Identifying effective managerial factors in improving and renovating old urban tissues: a case study approach. Buildings, 12(12), 2055. DOI:10.3390/buildings12122055
[36] Kumar, A., & Thomaz, A. C. F. (2023). Prediction of fertilizer in horticulture through IoT enabled technology. Big data and computing visions, 3(1), 15–20.
[37] Wang, C. N., Nguyen, N. A. T., & Dang, T. T. (2022). Offshore wind power station (OWPS) site selection using a two-stage MCDM-based spherical fuzzy set approach. Scientific reports, 12(1), 4260. DOI:10.1038/s41598-022-08257-2
[38] Mahajan, H. B., Badarla, A., & Junnarkar, A. A. (2021). CL-IoT: cross-layer internet of things protocol for intelligent manufacturing of smart farming. Journal of ambient intelligence and humanized computing, 12(7), 7777–7791. DOI:10.1007/s12652-020-02502-0
[39] Almalki, F. A., Soufiene, B. O., Alsamhi, S. H., & Sakli, H. (2021). A low-cost platform for environmental smart farming monitoring system based on iot and uavs. Sustainability (Switzerland), 13(11), 5908. DOI:10.3390/su13115908
[40] Malik, P. K., Singh, R., Gehlot, A., Akram, S. V., & Kumar Das, P. (2022). Village 4.0: Digitalization of village with smart internet of things technologies. Computers and industrial engineering, 165, 107938. DOI:10.1016/j.cie.2022.107938