Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies

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.

Authors

Institutions

Publication Details

Journal
Agricultural Science
Published
2025-06-30
DOI
https://doi.org/10.30560/as.v7n1p158
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies

Qian Wang, Jiayue He, Dong Hu
Agricultural Science
Medical Research and Treatments
article

Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies

Qian Wang, Jiayue He, Dong Hu
article en

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.

Agricultural ScienceVol. 7(1)
Zhaotong University (CN)
Openalex Percentile: Top 76%
Medical Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies — Qian Wang, Jiayue He, et al. · Agricultural Science (2025) | TGRS Research Map | TGRS