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.
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