Multi-Criteria Decision Analysis Approach for Selecting Feasible Data Analytics Platforms for Precision Farming

Krisnawijaya, Ngakan Nyoman Kutha; Teki̇nerdoğan, Bedir; Çatal, Çağatay; Tol, P.P.J. van der

doi:10.2139/ssrn.4314558

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“…By processing information from sources such as sensors, drones, and satellite imagery, data analytics helps identify patterns, predict outcomes, and optimize resource allocation. Decision support systems offer farmers a sophisticated toolset for planning planting schedules, irrigation strategies, and precision application of inputs, ultimately leading to more efficient, sustainable, and yield-maximizing agricultural practices [58]- [62]. The integration of data analytics and decision support systems exemplifies a shift towards evidence-based and data-driven decision-making in modern farming.…”

Section: Data Analytics and Decision Support Systemsmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

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Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization and resource efficiency, they also raise significant concerns regarding the security and privacy of sensitive agricultural data. This research paper delves into the intricate landscape of precision agriculture security and privacy, aiming to identify potential threats, vulnerabilities, and the corresponding measures necessary for safeguarding farmers' data and ensuring the sustainability of precision farming practices. The study employs a multidisciplinary approach, combining insights from computer science, agriculture, and privacy studies to provide a comprehensive overview. Through an analysis of existing security frameworks and privacy regulations, this paper proposes recommendations for the development and implementation of robust security protocols and privacy-enhancing technologies tailored to the unique challenges of precision agriculture. The findings of this research contribute to the ongoing dialogue on responsible technology adoption in agriculture, emphasizing the importance of striking a balance between innovation and the protection of farmers' sensitive information in the era of precision farming.

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Section: Data Analytics and Decision Support Systemsmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

Multi-Criteria Decision Analysis Approach for Selecting Feasible Data Analytics Platforms for Precision Farming

Cited by 1 publication

References 0 publications

A comprehensive examination of security and privacy in precision agriculture technologies

A comprehensive examination of security and privacy in precision agriculture technologies

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