ARCHIVES

Original Article

Blockchain Enabled Agricultural Relief System

Nikita Y. Kapadnis1 Nikita V. Pawar2 Viraj V. Mane3 Chaitanya V. Paraskar4
1Associate Professor. Department of Computer Engineering, Pune Institute of Computer Technology (PICT), Pune, Maharashtra, India. 234Department of Computer Engineering, Pune Institute of Computer Technology (PICT), Pune, Maharashtra, India.

Published Online: January-April 2025

Pages: 133-138

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

Related Articles

2025

Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions

2025

Exploring AI Techniques for Quantum Threat Detection and Prevention

2025

Maturity Models for Business Intelligence: An Overview

2025

INSPIRO: An AI Driven Institution Auditor

2025

Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems

2025

Predictive Modeling for College Admission Using Machine Learning and Statistical Methods

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20250401021

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.