Mohammad Taleghani¹* and Fatemeh Alidoosti Hesarii²

¹Department of Industrial Management, Rasht Branch, Islamic Azad University (IAU), Rasht, Iran ²Department of Industrial Engineering, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran

*Corresponding Author: Mohammad Taleghani, Associate Professor, Department of Industrial Management, Rasht Branch, Islamic Azad University (IAU), Rasht, Iran.

Received: July 14, 2025; Published: August 01, 2025

Abstract

AI and IoT bring a plethora of advantages to the agricultural domain. AI, with its capability for advanced data analysis, can aid in crop disease prediction, soil health monitoring, and yield forecasting. This predictive capacity allows for timely and precise interventions, thus enhancing crop quality and quantity. Technologies used for smart farming include artificial intelligence (AI), automation and the Internet of Things (IoT). While new technologies and tools have long been integral to farm management and food production, urgent concerns drive the development and adoption of smart farming technologies today.

Citation

Citation: Mohammad Taleghani and Fatemeh Alidoosti Hesari. “Modern Agriculture Based on Artificial Intelligence and the Internet of Things".Acta Scientific Computer Sciences 7.6 (2025): 01-02.

Copyright

Copyright: © 2025 Mohammad Taleghani and Fatemeh Alidoosti Hesari. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.