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

Authors

  • Dr. Ayesha Shahid Department of Computer Science, University of Lahore, Lahore, Pakistan. Author

Keywords:

Smart Agriculture, Artificial Intelligence, Internet of Things, Environmental Sustainability

Abstract

Smart agriculture, an emerging field, integrates advanced technologies
like Artificial Intelligence (AI), Internet of Things (IoT), and environmental science
to enhance the efficiency and sustainability of agricultural practices. This paper
explores the integration of these technologies in creating information systems that
provide real-time data-driven insights for farmers. The study examines how AI
algorithms can optimize resource usage, IoT sensors can monitor environmental
conditions, and environmental science can guide sustainable practices. Through the
integration of these systems, farmers can predict crop yields, manage irrigation more
efficiently, and mitigate risks related to climate change. The findings indicate that
adopting smart agriculture technologies not only enhances productivity but also
promotes sustainable agricultural practices, contributing to the overall goal of food
security and environmental sustainability

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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.