Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies
Abstract
Smart agriculture integrates cutting-edge information technologies such as big data, artificial intelligence, and blockchain, deeply integrating them into production decision-making and circulation links related to agriculture, forming a new agricultural business model and solution with significant advantages of intensification, precision, automation, and informatization. Therefore, properly handling the relationship between Agricultural Big Data technology and data security becomes particularly critical.The concept of Agricultural Big Data, comprehensively analyzing various current viewpoints. Subsequently, through specific cases, it elaborates on the driving role of Agricultural Big Data in various links of the agricultural supply chain. To further delves into the unique characteristics of Agricultural Big Data, including its ubiquity, sociality, and interdisciplinarity. Starting from the common problems of big data, it introduces specific issues in the agricultural field and proposes targeted security solutions based on actual smart agriculture application scenarios. This paper aims to provide a new perspective for future research on solving data security issues in the field of smart agriculture, to promote the more rapid and secure development of smart agriculture.
References
[2] Pylianidis, C., Osinga, S., & Athanasiadis, I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184(4), 105942. https://doi.org/10.1016/j.compag.2020.105942
[3] Pylianidis, S. A. I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184(1), 105942. https://doi.org/10.1016/j.compag.2020.105942
[4] Benny, B., Shirley, C. P., Berin, J. J. I., & et al. (2024). Leveraging IoT and digital twins to monitor crop growth and health in agriculture. In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). https://doi.org/10.1109/ICACCS60874.2024.10716880
[5] Bank, T. W. (2010). Enhancing agricultural innovation: How to go beyond the strengthening of research systems. World Bank Publications, 11, 49–49. https://doi.org/10.1596/978-0-8213-6741-4
[6] Sunding, D., & Zilberman, D. (2000). Research and technology adoption in a changing agricultural sector, draft for the handbook of agricultural economics. [Manuscript in preparation].
[7] Hermans, F., Stuiver, M., Beers, P. J., & et al. (2013). The distribution of roles and functions for upscaling and outscaling innovations in agricultural innovation systems. Agricultural Systems, 115, 117–128. https://doi.org/10.1016/j.agsy.2012.09.006
[8] Requena, J. C., & Roa, M. C. G. (2008). Technical versus institutional innovation in Andalusian olive tree orchards: An adoption modelling analysis. In 2008 International Congress, August 26-29, 2008, Ghent, Belgium. European Association of Agricultural Economists. https://doi.org/10.1111/j.1528-1157.1998.tb02600.x
[9] Tittonell, P., & Giller, K. E. (2013). When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture. Field Crops Research, 143(1), 76–90. https://doi.org/10.1016/j.fcr.2012.10.007
[10] Jayne, T. S., Mather, D., & Mghenyi, E. (2010). Principal challenges confronting smallholder agriculture in Sub-Saharan Africa. World Development, 38(10), 1384–1398. https://doi.org/10.1016/j.worlddev.2010.06.002
[11] Place, F., & Swallow, B. M. (2000). Assessing the relationships between property rights and technology adoption in smallholder agriculture: A review of issues and empirical methods. Capri Working Papers, 66(6), 691–698. https://doi.org/10.5014/ajot.2012.003608
[12] Gray, C. L. (2009). Rural out-migration and smallholder agriculture in the southern Ecuadorian Andes. Population & Environment, 30(4–5), 193–217. https://doi.org/10.1007/s11111-009-0081-5
[13] Noltze, M., Schwarze, S., & Qaim, M. (2011). Understanding the adoption of systemic innovations in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste. Agricultural Systems, 108, 64–73. https://doi.org/10.1016/j.agsy.2012.01.003
[14] Patra, B. (2021). Artificial intelligence, edge and IoT-based smart agriculture. [Manuscript in preparation].
[15] Nkumulwa, H. O., & Pauline, N. (n.d.). Role of climate-smart agriculture in enhancing farmers' livelihoods and sustainable forest management: A case of villages around Songe-Bokwa. [Manuscript in preparation].
[16] Zhang, B., & Qiao, Y. (2024). AI, sensors, and robotics for smart agriculture. Agronomy, 14(6), 1180. https://doi.org/10.3390/agronomy14061180
[17] Gilbert, N. (2011). Climate-smart agriculture is needed. Nature Medicine. https://doi.org/10.1038/news.2011.131

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