Abstract: This systematic review examines the transformative role of Cognitive Data Analytics (CDA) and Artificial Intelligence (AI) in advancing sustainable agricultural practices, with a primary objective to evaluate their applications in Precision Agriculture (PA), Internet of Things (IoT), smart irrigation, and Geographic Information Systems (GIS) from 2020 to 2025. Key findings highlight AI predictive modeling, IoT real-time monitoring, and GIS spatial analysis improving crop yields, water conservation, and environmental management. Challenges such as high costs, technical expertise gaps, and regional disparities hinder adoption. The review underscores the need for supportive policies and farmer training to enhance food security and sustainability by 2030.

Wongpanya S. Nuankaew, Patchara Nasa-Ngium and Pratya Nuankaew, “Leveraged Cognitive Data Analytics and Artificial Intelligence to Enhance Sustainable Agricultural Practices: A Systematic Review” International Journal of Advanced Computer Science and Applications(IJACSA), 16(6), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160648

@article{Nuankaew2025,
title = {Leveraged Cognitive Data Analytics and Artificial Intelligence to Enhance Sustainable Agricultural Practices: A Systematic Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160648},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160648},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {6},
author = {Wongpanya S. Nuankaew and Patchara Nasa-Ngium and Pratya Nuankaew}
}