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Previously ATLAS-P-2026-001

Conference PaperPublishedOpen Access Peer-reviewed

Transforming Agriculture in Solipur Village: The Impact of AI, ML, and IoT

  • Jalaja Tattari
  • T. Adilakshmi
  • Dhadi Sai Praneeth Reddy1
  1. 1 Atlas AI Labs

Proceedings of the 4th International Conference on Cognitive and Intelligent Computing, Volume 2 · Vol. 2 · Springer Nature · Jan 2026

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Abstract

The combination of Artificial Intelligence, Machine Learning, and the Internet of Things in farming is changing how farmers work. This paper discusses how Solipur Village uses these technologies to improve its farming methods. With AI predicting outcomes, ML managing crops, and IoT monitoring in real time, the study looks at better crop yield, resource use, and farmer earnings. Data from fieldwork, surveys, and interviews show the benefits and challenges of using these technologies. The results show higher productivity and sustainability, giving suggestions for policymakers and farmers to adopt AI, ML, and IoT in Indian agriculture.
  • Agriculture
  • Artificial intelligence
  • Machine learning
  • IoT
  • Rural India

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Publisher details

Published in
Proceedings of the 4th International Conference on Cognitive and Intelligent Computing, Volume 2
Event
ICCIC
Volume
Vol. 2

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Identifiers

04

Cite this work

Tattari, J., Adilakshmi, T., & Reddy, D. S. P. (2026). Transforming Agriculture in Solipur Village: The Impact of AI, ML, and IoT. Proceedings of the 4th International Conference on Cognitive and Intelligent Computing, Volume 2, 2. https://doi.org/10.1007/978-981-95-0144-1_16
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