Open Access
IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics
Publication type: Journal Article
Publication date: 2024-12-01
scimago Q1
wos Q1
SJR: 1.188
CiteScore: 20.4
Impact factor: 7.4
ISSN: 22143173
Computer Science Applications
Agronomy and Crop Science
Animal Science and Zoology
Aquatic Science
Forestry
Abstract
IoT based agriculture (Ag-IoT) is an emerging communication technology that is widely adopted by agricultural entrepreneurs and farmers to perform agricultural agro-chores in the farm to improve productivity, for better monitoring, and to reduce labor costs. However, the use of the Internet in Ag-IoT facilitates real-time functionality in an agriculture system, it can increase the risk of security breaches and cyber attacks that would cause the Ag-IoT system to malfunction and can affect its productivity. Ag-IoT is overlooked in cyber security parameters, which can have severe impacts on its trustworthiness and adoption by agricultural communities. To address this gap, this article presents a systematic study of the literature published between 2001 and 2023 that discusses advances in Ag-IoT technology. The subjects included in the study on Ag-IoT are emerging applications, different IoT architectures, suspected cyber attacks and cyber crimes, and challenges in incident response and digital forensics. The findings of this study encourage the reader to explore future potential research avenues related to the security risks and challenges of Ag-IoT, as well as the readiness for incident response and forensic investigation in the smart agricultural sector. The main conclusion of this study is that security must be ensured in Ag-IoT environments to offer uninterrupted services and also there is a need for forensic readiness for effective investigation in the event of unanticipated security incidents.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
2
3
4
|
|
|
BIO Web of Conferences
4 publications, 8.51%
|
|
|
IEEE Access
2 publications, 4.26%
|
|
|
Information Processing in Agriculture
2 publications, 4.26%
|
|
|
Journal of Supercomputing
1 publication, 2.13%
|
|
|
Horticulturae
1 publication, 2.13%
|
|
|
Handbook of Research on Innovations in Systems and Software Engineering
1 publication, 2.13%
|
|
|
Handbook of Research on Securing Cloud-Based Databases with Biometric Applications
1 publication, 2.13%
|
|
|
Forensic Science International Digital Investigation
1 publication, 2.13%
|
|
|
AgriEngineering
1 publication, 2.13%
|
|
|
Agronomy
1 publication, 2.13%
|
|
|
Cluster Computing
1 publication, 2.13%
|
|
|
Sensors
1 publication, 2.13%
|
|
|
Environmental Monitoring and Assessment
1 publication, 2.13%
|
|
|
Cleaner Energy Systems
1 publication, 2.13%
|
|
|
Journal of the Saudi Society of Agricultural Sciences
1 publication, 2.13%
|
|
|
Journal of Agronomy and Crop Science
1 publication, 2.13%
|
|
|
Heliyon
1 publication, 2.13%
|
|
|
Lecture Notes in Networks and Systems
1 publication, 2.13%
|
|
|
European Journal of Agronomy
1 publication, 2.13%
|
|
|
Advances in Computational Intelligence and Robotics
1 publication, 2.13%
|
|
|
IETE Journal of Research
1 publication, 2.13%
|
|
|
International Journal on Smart Sensing and Intelligent Systems
1 publication, 2.13%
|
|
|
SN Computer Science
1 publication, 2.13%
|
|
|
Foresight and STI Governance
1 publication, 2.13%
|
|
|
Procedia Computer Science
1 publication, 2.13%
|
|
|
Horticulture and viticulture
1 publication, 2.13%
|
|
|
Scientific Reports
1 publication, 2.13%
|
|
|
Journal of Integrative Agriculture
1 publication, 2.13%
|
|
|
Studies in Big Data
1 publication, 2.13%
|
|
|
1
2
3
4
|
Publishers
|
2
4
6
8
10
12
|
|
|
Institute of Electrical and Electronics Engineers (IEEE)
12 publications, 25.53%
|
|
|
Elsevier
11 publications, 23.4%
|
|
|
Springer Nature
8 publications, 17.02%
|
|
|
MDPI
4 publications, 8.51%
|
|
|
EDP Sciences
4 publications, 8.51%
|
|
|
IGI Global
3 publications, 6.38%
|
|
|
Wiley
1 publication, 2.13%
|
|
|
Taylor & Francis
1 publication, 2.13%
|
|
|
Walter de Gruyter
1 publication, 2.13%
|
|
|
National Research University Higher School of Economics (HSE)
1 publication, 2.13%
|
|
|
Federal State Budgetary Scientific Institution All-Russian Horticultural Institute for Breeding Agrotechnology and Nursery
1 publication, 2.13%
|
|
|
2
4
6
8
10
12
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
47
Total citations:
47
Citations from 2024:
42
(89.36%)
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Rudrakar S. et al. IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics // Information Processing in Agriculture. 2024. Vol. 11. No. 4. pp. 524-541.
GOST all authors (up to 50)
Copy
Rudrakar S., Rughani P. H. IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics // Information Processing in Agriculture. 2024. Vol. 11. No. 4. pp. 524-541.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.inpa.2023.09.002
UR - https://linkinghub.elsevier.com/retrieve/pii/S2214317323000665
TI - IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics
T2 - Information Processing in Agriculture
AU - Rudrakar, Santoshi
AU - Rughani, Parag H.
PY - 2024
DA - 2024/12/01
PB - Elsevier
SP - 524-541
IS - 4
VL - 11
SN - 2214-3173
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_Rudrakar,
author = {Santoshi Rudrakar and Parag H. Rughani},
title = {IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics},
journal = {Information Processing in Agriculture},
year = {2024},
volume = {11},
publisher = {Elsevier},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2214317323000665},
number = {4},
pages = {524--541},
doi = {10.1016/j.inpa.2023.09.002}
}
Cite this
MLA
Copy
Rudrakar, Santoshi, et al. “IoT based agriculture (Ag-IoT): A detailed study on architecture, security and forensics.” Information Processing in Agriculture, vol. 11, no. 4, Dec. 2024, pp. 524-541. https://linkinghub.elsevier.com/retrieve/pii/S2214317323000665.