Big Data Privacy in Smart Farming: A Review

Abstract

Smart farming aims to improve farming using modern technologies and smart devices. Smart devices help farmers to collect and analyze data regarding different aspects of their business. These data are utilized by various stakeholders, including farmers, technology providers, supply chain investigators, and agricultural service providers. These data sources can be considered big data due to their volume, velocity, and variety. The wide use of data collection and communication technologies has increased concerns about the privacy of farmers and their data. Although some previous studies have reviewed the security aspects of smart farming, the privacy challenges and solutions are not sufficiently explored in the literature. In this paper, we present a holistic review of big data privacy in smart farming. The paper utilizes a data lifecycle schema and describes privacy concerns and requirements in smart farming in each of the phases of this data lifecycle. Moreover, it provides a comprehensive review of the existing solutions and the state-of-the-art technologies that can enhance data privacy in smart farming.

Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation

“…Ensuring the secure storage and transmission of data is crucial to prevent unauthorized access and the misuse of data. Regulations and best practices need to be developed and implemented to ensure data security and privacy [ 50 , 51 , 52 ].…”

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

“…[1], [64], [72], [521]- [527] Location Privacy: track the location of farming equipment, livestock, Unauthorized access to precise location data Robust privacy-preserving mechanisms and compliance with privacy regulations, ethical use of location data.…”

“…Unauthorized access to precise location data can violate the privacy of farmers and stakeholders, potentially leading to misuse or security breaches [521], [524], [525]. Robust privacy-preserving mechanisms and compliance with privacy regulations are essential to address these concerns and ensure the responsible and ethical use of location data in IoT-WSNs-based SA [72], [526], [527].…”

Integrated Route-Planning System for Agricultural Robots

“…Smart farming, as an evolution of precision agriculture, is an approach that goes beyond the optimization of specific farming tasks to a data-driven and system-based approach to optimize the entire farming system [1][2][3]. Under a systems perspective, smart farming encompasses various components and processes, including sensors (proximal and remote), data processing and data analysis, decision support, automation and control including robotics [4][5][6][7], and connectivity and communication (including cloud and IoT technologies) [8,9] up to a supply chain level [10][11][12], while the whole approach should also consider the sustainability [13][14][15][16], data security [17][18][19], and privacy perspectives [20][21][22].…”