DIGITAL AGRICULTURE: LEVERAGING IOT, AI, AND CLOUD FOR PRECISION FARMING SOLUTIONS

Authors

  • Dr. Sara Qureshi Department of Computer Science, COMSATS University Islamabad, Pakistan. Author

Keywords:

Digital Agriculture, Precision Farming, Internet of Things, Cloud Computing

Abstract

. Digital agriculture represents a transformative paradigm in modern farming, integrating Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing to optimize crop yields, resource utilization, and environmental sustainability. This paper explores how precision farming technologies are being implemented across Pakistan, examining their adoption levels, operational benefits, and the challenges faced by farmers. Through a multidisciplinary lens, we assess the role of real-time data acquisition, predictive modeling, and scalable analytics in enhancing agricultural productivity. The findings suggest that while adoption of these technologies is increasing, more infrastructure investment and training are needed for mass-scale implementation.

image

Downloads

Published

2023-07-03

Issue

Vol. 3 No. 3 (2023): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.