AI-based IOT Robotics for Precision Regenerative Agriculture

Authors

  • Tayyab Rizwan Author
  • Muhammad Ovais Akhter Author
  • Areshba Mushtaq Author
  • Aqsa Aslam Author

Keywords:

IoT Agriculture, Artificial Intelligence, Regenerative Agriculture, Autonomous Robot, Precision Farming, Sustainable Agriculture, Soil Monitoring, Smart Irrigation

Abstract

This research introduces an AI-based IOT farm robot to address the current lack of labthis and inefficiencies in Pakistan's agricultural sector, which are still relying primarily on conventional manual methods. The proposed agri-bot reduces human labour input and increases rustics utilization, thereby increasing efficiency and sustainability of farm activities. The industry's current limitations i.e., lack of skilled farmers and little automation are still holding it back. Furthermore, the general application of tractors with gasoline further pollutes the environment with poisonous chemicals. To counter this, the high-tech robot employs a completely battery-operated system in an attempt to minimize pollution and anchorage green farming. Equipped with a mounted tiller, the robot achieves maximum land tilling and soil preparation. The robot also comes equipped with sensors to detect the pH content of the soil and offers automatic watering when necessary. High-precision seed sowing is achieved with reduced human capital, enhancing precision and consistency in plant growth. AI-based IOT control enhances farm operations and promotes automation levels in agriculture in Pakistan through a smartphone app. Overcoming tremendous challenges related to individuals and preservation of nature, this study enhances modernization and development in agriculture with enhanced productivity and improved balance of nature.

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Published

2025-08-18

How to Cite

AI-based IOT Robotics for Precision Regenerative Agriculture. (2025). Journal of Cognition and Artificial Intelligence, 1(1), 18-25. https://jccair.org/index.php/jcai/article/view/2

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