PUREFARM: A Data-Centric Precision Agriculture Solution for Climate-Resilient and Sustainable Crop Yield

Authors

  • R Tamilselvi Department of Computer Science and Design, SNS College of Technology, Coimbatore, Tamil Nadu, India.
  • Monika Department of Computer Science and Design, SNS College of Engineering, Coimbatore, Tamil Nadu, India
  • Shuhaina Department of Computer Science and Design, SNS College of Engineering, Coimbatore, Tamil Nadu, India
  • Kavin Department of Computer Science and Design, SNS College of Engineering, Coimbatore, Tamil Nadu, India
  • Mathesh Kanna Department of Computer Science and Design, SNS College of Engineering, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.5281/zenodo.17854627

Keywords:

Agricultural Technology, AI-Powered Solution, Sustainable Farming, Crop Yield Optimization, Supply Chain Management, Market Transparency, Digital Agriculture

Abstract

This paper introduces PureFarm, a comprehensive AI-powered agricultural technology solution developed to address critical challenges faced by farmers, including low crop yield, unfair pricing, post-harvest spoilage, and limited sustainability practices. PureFarm, developed by Indigo Ag, leverages advanced AI and digital integration to expand its support for a broader farmer base. The solution provides real-time crop advisory, facilitates fair market access, and promotes sustainable farming through tools like a carbon footprint calculator and regenerative farming guidance. PureFarm aims to streamline farming workflows, improve financial outcomes for farmers, and drive greater environmental stewardship within the agricultural supply chain.

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Published

2025-12-08

How to Cite

R Tamilselvi, Monika, Shuhaina, Kavin, & Mathesh Kanna. (2025). PUREFARM: A Data-Centric Precision Agriculture Solution for Climate-Resilient and Sustainable Crop Yield. International Journal of Computational Learning and Intelligence, An Open AI Journal, 5(1), 920–927. https://doi.org/10.5281/zenodo.17854627

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Section

RESEARCH ARTICLES