Internet of Things for Agriculture Industry: A Bibliometric Analysis in the Last Five Years
With the arrival of new technologies, the farm business is always changing. It is one of the most important in the world. The Internet of Things (loT) is one of the most exciting new technologies of the past few years. It could completely change the way we farm. We look at the literature about loT in agriculture over the last five years in this study. According to our findings, the use of loT in agriculture has been steadily increasing over the previous five years. This research provides a bibliometric evaluation of academic papers covering the years 2018–2022, with an emphasis on the Internet of Things (loT) in the agricultural sector. The analysis is performed using data obtained from the Scopus database. 120 documents were chosen and evaluated to acquire insights on the present state of research in this topic. Co-citation analysis identified wearable technology, farmers, loT devices, food, and wireless sensor networks (WSNs) as prominent research subjects in the agricultural industry's use of the Internet of Things (loT). The findings can provide valuable insights for scholars, practitioners, funding agencies, and policymakers in comprehending the patterns and focal points in this domain. The authors and institutes highlighted in this analysis are useful resources for collaborating and staying updated on the newest advances in the loT for Agriculture Industry.
Authors
- Chasandra Puspitasari
- Miftahul Hamim
- Vandha Pradwiyasma Widartha (ORCID: https://orcid.org/0000-0001-9790-7597)
- Puput Dani Prasetyo Adi (ORCID: https://orcid.org/0000-0002-5402-8864)
- Rahman Arifuddin (ORCID: https://orcid.org/0000-0002-9414-0949)
- Fairuz Iqbal Maulana (ORCID: https://orcid.org/0000-0002-8740-1530)
Institutions
- Binus University (ID)
- Universitas Merdeka Malang (ID)
- National Nuclear Energy Agency of Indonesia (ID)
- National Research and Innovation Agency (ID)
- Pukyong National University (KR)
Publication Details
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1109/iciss62896.2024.10751064
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00