INFORMATION SYSTEMS FOR SMART AGRICULTURE: INTEGRATING AI, IOT, AND ENVIRONMENTAL SCIENCE

Authors

  • Dr. Amna Shaukat Assistant Professor, Department of Agricultural Engineering University of Faisalabad, Pakistan. Author

Keywords:

Smart Agriculture, Artificial Intelligence (AI), Internet of Things (IoT), Environmental Science

Abstract

The agricultural sector is undergoing a digital transformation,
incorporating advanced technologies such as Artificial Intelligence (AI), Internet of
Things (IoT), and Environmental Science to create more efficient and sustainable
farming practices. This paper explores the integration of AI, IoT, and environmental
science through information systems in the context of smart agriculture. The
utilization of IoT devices enables real-time data collection on soil health, weather
conditions, and crop status, while AI algorithms facilitate predictive analytics for
precision farming. Environmental science contributes to the development of
sustainable farming practices, reducing environmental impact. This paper discusses
the development of integrated information systems, the benefits of their application in
smart agriculture, challenges in implementation, and future directions for research.
The results highlight how these technologies can work synergistically to optimize
resource management, enhance crop yield, and reduce waste, promoting the
sustainability of agricultural practices.

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Published

2022-07-04

Issue

Vol. 2 No. 3 (2022): 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.