Blockchain-Enabled Agricultural Relief System

In arid agricultural regions, farmers face considerable challenges stemming from drought and the limitations of traditional crop insurance mechanisms. This paper proposes a conceptual framework for a blockchain-based drought fund system designed to enhance agricultural risk management. By harnessing distributed ledger technology, this approach envisions a transparent, efficient, and decentralized method of providing financial support during adverse weather events. The proposed system would utilize smart contracts to automate fund allocation and distribution based on realtime meteorological data, aiming to minimize delays and ensure timely financial relief for affected farmers. This framework suggests a shift from farmers being passive participants in conventional insurance schemes to becoming active stakeholders in fund governance, thus promoting a collaborative approach to financial risk management. We explore the potential effectiveness of this conceptual system, focusing on anticipated benefits such as cost reduction, faster claims processing, and improved trust within farming communities. Preliminary insights indicate that implementing blockchain infrastructure could significantly lower operational costs and enhance the resilience of agricultural stakeholders. This paper outlines the envisioned system architecture, including potential blockchain consensus mechanisms, and dis-cusses anticipated challenges related to data integration and user adoption. We conclude with a strategic roadmap for the conceptual deployment of this drought fund system, highlighting its transformative potential for agricultural risk management in the context of climate change and increasing weather variability

Authors

Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2025-04-09
DOI
https://doi.org/10.59256/indjcst.20250401021
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain-Enabled Agricultural Relief System

Nikita Y. Kapadnis, Nikita V. Pawar, Viraj V. Mane, Chaitanya V. Paraskar
Indian Journal of Computer Science and Technology
COVID-19 Pandemic Impacts
article

Blockchain-Enabled Agricultural Relief System

Nikita Y. Kapadnis, Nikita V. Pawar, Viraj V. Mane, Chaitanya V. Paraskar
article en

Abstract

In arid agricultural regions, farmers face considerable challenges stemming from drought and the limitations of traditional crop insurance mechanisms. This paper proposes a conceptual framework for a blockchain-based drought fund system designed to enhance agricultural risk management. By harnessing distributed ledger technology, this approach envisions a transparent, efficient, and decentralized method of providing financial support during adverse weather events. The proposed system would utilize smart contracts to automate fund allocation and distribution based on realtime meteorological data, aiming to minimize delays and ensure timely financial relief for affected farmers. This framework suggests a shift from farmers being passive participants in conventional insurance schemes to becoming active stakeholders in fund governance, thus promoting a collaborative approach to financial risk management. We explore the potential effectiveness of this conceptual system, focusing on anticipated benefits such as cost reduction, faster claims processing, and improved trust within farming communities. Preliminary insights indicate that implementing blockchain infrastructure could significantly lower operational costs and enhance the resilience of agricultural stakeholders. This paper outlines the envisioned system architecture, including potential blockchain consensus mechanisms, and dis-cusses anticipated challenges related to data integration and user adoption. We conclude with a strategic roadmap for the conceptual deployment of this drought fund system, highlighting its transformative potential for agricultural risk management in the context of climate change and increasing weather variability

Indian Journal of Computer Science and Technology
Openalex Percentile: Top 89%
COVID-19 Pandemic Impacts
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.