Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems

Bui, Hang Thanh; Aboutorab, Hamed; Mahboubi, Arash; Gao, Yansong; Sultan, Nazatul Haque; Chauhan, Aufeef; Parvez, Mohammad Zavid; Bewong, Michael; Islam, Rafiqul; Islam, Zahid; Camtepe, Seyit A.; Gauravaram, Praveen; Singh, Dineshkumar; Ali Babar, M.; Yan, Shihao

doi:10.1016/j.cose.2024.103754

Cited by 16 publications

(1 citation statement)

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“…New trends in agriculture seek to manage crops in controlled environments such as greenhouses, which enable the recreation of the quasi-optimal parameters that plants need to improve production or duplicate the environmental conditions of specific geographical areas to locally obtain products that are usually imported [10]. Hang Thanh Bui et al (2024) 2020) introduce an optimization model for providing reliability and, consequently, service continuity to the IoT-Fog-Cloud continuum-based smart farms. This paper proposes a smart irrigation system based on cutting-edge technologies like the embedded system, Internet of Things (IoT), and cloud computing as a groundbreaking strategy to improve food security through the implementation of advanced agricultural technology [13].…”

Section: Related Studiesmentioning

confidence: 99%

An Effective Model for Selecting the Best Cloud Platform for Smart Farming in Smart Cities: A Case Study

Elsayed,

Abouhawwash

2024

Optimization Agri.

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Cloud computing has become an essential technology for various industries, including smart farming and smart city initiatives. Integrating smart farming into smart city initiatives can bring numerous benefits, such as increased food production, resource efficiency, environmental sustainability, and improved quality of life for urban residents. Smart cities and smart farming are two interconnected concepts that aim to improve the efficiency and sustainability of urban areas. Smart cities use technology and data to optimize infrastructure, services, and resources, while smart farming applies these same principles to agriculture. Smart farming with cloud computing involves the use of cloud computing technologies to optimize agricultural processes and improve crop yields. By using cloud computing technologies, farmers can collect, store, and analyze large amounts of data, access advanced analytics and machine learning tools, collaborate with agricultural experts, and benefit from scalability and flexibility. In this paper, we propose a novel MEREC-MAIRCA method to select the best cloud platform that helps decision-makers use smart farming in smart cities. By leveraging technology and data, smart farming can enable new business models, create new jobs, and foster social connections around food production and consumption.

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Section: Related Studiesmentioning

confidence: 99%