Cybersecurity for Smart Farming: Socio-Cultural Context

Assignment Task

This paper summarizes current Information and Communications Technology (ICT) advancements and how they might affect the agriculture business. It then analyzes the dangers and vulnerabilities of ICT in agriculture. Based on a survey of the relevant literature, the authors present a short assessment of the prospective implications of ICT advances, approaches, benefits, hazards, and mitigation strategies on the agriculture industry.

M. Balasubramaniyan, C. Navaneethan, Applications of Internet of Things for smart farming – A survey, Materials Today: Proceedings, Volume 47, Part 1,2021, Pages 18-24, ISSN 2214-7853, 

The research discuss about the Internet of Things (IoT) is helping farmers manage their water supplies, livestock, and health through sensors, cameras, and wearable health monitors. Based on the survey study, this article advises farmers on how to control global warming, soil degradation, and water availability in various sensors to maximize agricultural production.

Sciforce. (2023, January 25). Smart farming: The future of agriculture. IoT For All. Retrieved February 6, 2023, from

The article examined the Internet of Things (IOT) solutions of smart farming cycle's obstacles as well as the ways in which those agricultural issues may be handled through precision farming and farming automation.

Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart farming: Internet of things (iot)-based sustainable agriculture. Agriculture, 12(10), 1745. doi:10.3390/agriculture12101745.

This study examines the hardware and software utilized by wireless sensor applications in IoT agriculture, as well as the predicted difficulties in integrating technology with traditional agricultural methods. Additionally, the author talks about technologies used, barriers to implement the IOT and its applications and how they useful to farmers. all through the sowing, growing, harvesting, packing, and shipping stages.

R. Raut, H. Varma, C. Mulla and V. R. Pawar, "Soil Monitoring Ferti- gation and Irrigation System Using IoT for Agricultural Application" in Intelligent Communication and Computational Technologies, Singapore: Springer Singapore, pp. 67-73, 2018.

The goal of this research is to reduce waste in terms of time, money, and power consumption by installing an autonomous watering system and determining the level of macronutrients in the soil.

Vinod, D. N., & Singh, T. (2018). Autonomous Farming and surveillance Agribot in adjacent boundary. 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). doi:10.1109/icccnt.2018.8494137.

This paper aims to research the use of multipurpose agriculture robots for digging soil, sowing seeds, spraying water, and increasing productivity and reducing labor for farmers. The objective is to provide an efficient and automated purpose in the field and reduce labor costs.

K., S., & S., S. (2018). Cloud IOT based novel livestock monitoring and identification system using UID. Sensor Review, 38(1), 21-33. doi:10.1108/sr-08-2017-0152.

In order to detect both internal and external physical indicators, including temperature, stress, gesture recognition, and pulse rate, this research develops a revolutionary animal monitoring system based on the cloud IoT.

Talavera, J.M., et al. (2017) Review of IoT Applications in Agro-Industrial and Environmental Fields. Computers and Electronics in Agriculture, 142, 283-297.

This review article discusses the key problems and issues associated with the Internet of Things, as well as its concept, architecture, and major application domains. It also describes sensors, actuators, and the intelligent communication between them.

Martiskainen, P., Järvinen, M., Skön, J., Tiirikainen, J., Kolehmainen, M., & Mononen, J. (2009). Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines. Applied Animal Behaviour Science, 

The purpose of this research is to develop and validate a system that can automatically measure and recognize dairy cow behavior patterns using a three-dimensional accelerometer and support vector machine.

Koduru, T., & Koduru, N. P. (2022). An overview of vulnerabilities in Smart Farming Systems. Journal of Student Research, 11(1). doi:10.47611/jsrhs.v11i1.2303. This paper provides an overview of smart farming, IoT devices, and potential vulnerabilities, as well as mitigation techniques to prevent cyberattacks. More research and penetration testing are needed to improve cybersecurity.

Madakam, S., Ramaswamy, R., & Tripathi, S. (2015). Internet of things (IOT): A literature review. Journal of Computer and Communications, 03(05), 164-173. doi:10.4236/jcc.2015.35021. The Internet of Things is the subject of this research study, which concentrates on its definitions, resource, fundamental criteria, features, and aliases (Technological GOD). Its goal is to present an overview of IoT, architectures, and critical technologies, as well as their applications in our everyday lives.

Quan, D. and Van, T. (2022) Potential and Trends of IoT Application in Agriculture in Vietnam. Open Journal of Social Sciences, 10, 170-182. doi: 10.4236/jss.2022.101015.

This paper discuss about the implementation of IoT in Vietnamese agriculture requires a strong commitment from the government to both research and practical application. And, before it can be utilized widely, there are still problems that need to be fixed. A. K. Samha, E. E. Alshelaly, N. Y. Alswaigh and G. H. Alshammri, "Applied Internet of Things in Saudi Arabia Aquaculture System," 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT), Bhopal, India, 2021, pp. 442-447, doi: 10.1109/CSNT51715.2021.9509649.

In this study, researchers analyze past studies from other nations that use IoT in aquaculture and relate them to the Saudi Arabia environment. They propose an IoT platform solution for aquaculture that makes use of cloud computing technologies.

Concerns about Cyber security and privacy

Shaaban, A. M., Chlup, S., El-Araby, N., & Schmittner, C. (2022). Towards optimized security attributes for IoT devices in smart agriculture based on the IEC 62443 security standard. Applied Sciences, 12(11), 5653. doi:

A team of researchers has suggested an algorithm that could improve the effectiveness of existing security measures by applying it to an Internet of Things application in the agriculture sector. They validated the enhanced security features against the spread of cyber threats using THREATGET, a tool developed for the analysis of cyber hazards.

Prodanović, R., Rančić, D., Vulić, I., Zorić, N., Bogićević, D., Ostojić, G., Stankovski, S. (2020). Wireless Sensor Network in agriculture: Model of Cyber Security. Sensors, 20(23), 6747. doi:10.3390/s20236747.

Data security is the primary topic of this study, which presents an extensive data security model that has wide-ranging applications in the agriculture monitoring sector. It also examines wireless sensor networks' energy consumption per bit.

M. Gupta, M. Abdelsalam, S. Khorsandroo and S. Mittal, "Security and Privacy in Smart Farming: Challenges and Opportunities," in IEEE Access, vol. 8, pp. 34564-34584, 2020, doi: 10.1109/ACCESS.2020.2975142.

The authors of this article conduct a detailed examination of data protection in a digital farm system. The paper addresses security and privacy issues in a dynamic, widely distributed cyber physical environment and proposes a multi-layered precision agriculture architecture. The paper also discusses cyber assault scenarios, present research challenges, and recommendations for further studies.

Koduru, T., & Koduru, N. P. (2022). An overview of vulnerabilities in Smart Farming Systems. Journal of Student Research, 11(1). doi:10.47611/jsrhs.v11i1.2303.

This paper provides an overview of smart farming, IoT devices, and potential vulnerabilities, as well as mitigation techniques to prevent cyberattacks. More research and penetration testing are needed to improve cybersecurity.

Geil, A., Sagers, G., Spaulding, A. D., & Wolf, J. R. (2018). Cyber security on the farm: An assessment of cyber security practices in the United States Agriculture Industry. International Food and Agribusiness Management Review, 21(3), 317-334. doi:10.22434/ifamr2017.0045.

This study analyzed farmers' and agricultural owners' cyber security views by age, gender, and education. The Health Belief Model assessed vulnerability, severity, benefits, obstacles, self-efficacy, and action signals. It found that perceived cyber-attack susceptibility and defensive technical advantages affect cyber security technology adoption.

IOT device risk challenges

M. Gupta, M. Abdelsalam, S. Khorsandroo and S. Mittal, "Security and Privacy in Smart Farming: Challenges and Opportunities," in IEEE Access, vol. 8, pp. 34564-34584, 2020, doi: 10.1109/ACCESS.2020.2975142.

The authors of this article conduct a detailed examination of data protection in a digital farm system. The paper addresses security and privacy issues in a dynamic, widely distributed cyber physical environment and proposes a multi-layered precision agriculture architecture. The paper also discusses cyber assault scenarios, present research challenges, and recommendations for further studies.

Sontowski, Sina & Gupta, Maanak & Sree, Sai & Abdelsalam, Mahmoud & Mittal, Sudip & Joshi, Anupam & Sandhu, Ravi. (2020). Cyber Attacks on Smart Farming Infrastructure. 10.1109/CIC50333.2020.00025.

This study proposes a Denial of Service (DoS) attack that disrupts on-field sensors to disable a smart farm. Researchers demonstrate a Wi-Fi de - authentication attack using the Institute of Electrical and Electronic Engineers (IEEE) 802.11 issues and unsecured management packets. They recommend that the cybersecurity community explore smart farming and the users be cautious while installing precision agricultural ecosystems.

Drape, T., Magerkorth, N., Sen, A., Simpson, J., Seibel, M., Murch, R. S., & Duncan, S. E. (2021). Assessing the role of Cyberbiosecurity in agriculture: A case study. Frontiers in Bioengineering and Biotechnology, 9. doi:10.3389/fbioe.2021.737927.

This article discussed the problems, challenges, consequences, and risks that are associated with the food and agriculture system, as well as solutions for cyber biosecurity, workforce and training needs, and the need for research and policy.

Koduru, T., & Koduru, N. P. (2022). An overview of vulnerabilities in Smart Farming Systems. Journal of Student Research, 11(1). doi:10.47611/jsrhs.v11i1.2303.

This paper provides an overview of smart farming, IoT devices, and potential vulnerabilities, as well as mitigation techniques to prevent cyberattacks. More research and penetration testing are needed to improve cybersecurity

Geil, A., Sagers, G., Spaulding, A. D., & Wolf, J. R. (2018). Cyber security on the farm: An assessment of cyber security practices in the United States Agriculture Industry. International Food and Agribusiness Management Review, 21(3), 317-334. doi:10.22434/ifamr2017.0045.

This study analyzed farmers' and agricultural owners' cyber security views by age, gender, and education. The Health Belief Model assessed vulnerability, severity, benefits, obstacles, self-efficacy, and action signals. It found that perceived cyber-attack susceptibility and defensive technical advantages affect cyber security technology adoption.

Quan, D. and Van, T. (2022) Potential and Trends of IoT Application in Agriculture in Vietnam. Open Journal of Social Sciences, 10, 170-182. doi: 10.4236/jss.2022.101015.

This paper discuss about the implementation of IoT in Vietnamese agriculture requires a strong commitment from the government to both research and practical application. And, before it can be utilized widely, there are still problems that need to be fixed.

Evolution of farming methods

Laurens Klerkx, Emma Jakku, Pierre Labarthe,A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda, NJAS - Wageningen Journal of Life Sciences,2019,100315, ISSN 1573-5214, 

This paper explores the social, economic, and institutional dynamics of precision agriculture, digital agriculture, smart farming, and agriculture 4.0, highlighting unique understandings of the relationship between digital agriculture and farm diversity, new onfarm, value-chain, food-system, and innovation-system economic, business, and institutional arrangements, and evolving methods for ethically governing internet-based agriculture.

A. K. Samha, E. E. Alshelaly, N. Y. Alswaigh and G. H. Alshammri, "Applied Internet of Things in Saudi Arabia Aquaculture System," 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT), Bhopal, India, 2021, pp. 442-447, doi: 10.1109/CSNT51715.2021.9509649.

In this study, researchers analyze past studies from other nations that use IoT in aquaculture and relate them to the Saudi Arabia environment. They propose an IoT platform solution for aquaculture that makes use of cloud computing technologies.

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