Modernizing Land Management with AI, IoT Using Blockchain, and Smart Contracts to Promote Transparency, Efficiency, and Trust

The use of blockchain technology in land management systems provides a new way of meeting the inefficiencies and challenges associated with conventional land administration. This research is based on a collection of research papers that shed light on several facets of blockchain and allied technologies, such as distributed ledgers, smart contracts, and predictive analytics. These technologies promise to advance land registration and property transactions through greater transparency, security, and efficiency. The papers discuss subjects including digitizing land records through methods, enabling real-time access to data, and novel applications utilizing platforms such as Hyperledger, Ethereum, and IPFS. Comparative studies show the vast potential of blockchain to settle land conflicts, decrease administrative turnaround time, and establish trust among parties. In addition, the articles study the convergence of blockchain and artificial intelligence (AI) and the Internet of Things (IoT), providing evidence of innovation in land titling and property verification. They also study the use of machine learning in creating predictive systems in land management. These studies validate the use of blockchain in the modernization of land systems, opening doors to its further use in governance and property management in countries.

Authors

Institutions

Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/raeeucci63961.2025.11048303
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modernizing Land Management with AI, IoT Using Blockchain, and Smart Contracts to Promote Transparency, Efficiency, and Trust

N Kirubakaran, Sara Harsini, Goutam Sahana, R Pramithi et al.
1 citations
Impact of AI and Big Data on Business and Society
2.11
article

Modernizing Land Management with AI, IoT Using Blockchain, and Smart Contracts to Promote Transparency, Efficiency, and Trust

N Kirubakaran, Sara Harsini, Goutam Sahana, R Pramithi, S Chandrahasini
article en
1 citations

Abstract

The use of blockchain technology in land management systems provides a new way of meeting the inefficiencies and challenges associated with conventional land administration. This research is based on a collection of research papers that shed light on several facets of blockchain and allied technologies, such as distributed ledgers, smart contracts, and predictive analytics. These technologies promise to advance land registration and property transactions through greater transparency, security, and efficiency. The papers discuss subjects including digitizing land records through methods, enabling real-time access to data, and novel applications utilizing platforms such as Hyperledger, Ethereum, and IPFS. Comparative studies show the vast potential of blockchain to settle land conflicts, decrease administrative turnaround time, and establish trust among parties. In addition, the articles study the convergence of blockchain and artificial intelligence (AI) and the Internet of Things (IoT), providing evidence of innovation in land titling and property verification. They also study the use of machine learning in creating predictive systems in land management. These studies validate the use of blockchain in the modernization of land systems, opening doors to its further use in governance and property management in countries.

Chennai Mathematical Institute (IN)
Openalex Percentile: Top 12%
Impact of AI and Big Data on Business and Society
2.11
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.