Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{191744,
author = {Dr.K.Santhosh kumar},
title = {SUSTAINABLE AGRICULTURE USING BLOCK CHAIN TECHNOLOGIES AND ASSISTIVE AI},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {8},
pages = {8939-8948},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=191744},
abstract = {In contemporary farming, guaranteeing product quality and authenticity is essential for sustaining customer confidence and optimizing value. The combination of block chain and AI promotes sustainable farming by providing transparent data systems and enhancing decision-making, tackling issues like food security, resource waste, climate change, and supply chain transparency. Block chain enhances agriculture with traceable food systems, smart contracts, and carbon credit management. AI aids crop predictions and sustainable methods, while challenges include costs, scalability, and unclear regulations. Affordable and scalable solutions are essential, utilizing standardized data-sharing protocols and clear policies. This review examines technologies for sustainable agriculture, highlighting food safety, carbon credit tracking, climate-smart farming, and supply chain efficiency. It discusses challenges like cost and policy frameworks while proposing future research on system compatibility, real-time analytics, and incentives. Collaboration is essential for agricultural resilience and sustainability.},
keywords = {Block chain technology, AI, Green Agriculture, Targeted Farming, Accountability, Automated Contracts, Emission Credit Oversight, Climate-Adaptable Agriculture.},
month = {January},
}
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