The Role of Smart Agriculture Based on Artificial Intelligence Technologies in Improving Agricultural Practices for Cereal Crops | ||||
| Aswan Journal of Agricultural and Biological Sciences | ||||
| Articles in Press, Accepted Manuscript, Available Online from 31 July 2025 | ||||
| Document Type: Review article | ||||
| DOI: 10.21608/ajabs.2025.400575.1010 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Norhan Yehia 
| ||||
| Department of Economy, Faculty of Agriculture, Assiut University, Assiut, Egypt. | ||||
| Abstract | ||||
| This study aims to examine the impact of artificial intelligence (AI) technologies on enhancing the agricultural sector. AI has emerged as one of the most revolutionary tools in agricultural operations, improving productivity, reducing operational costs, and promoting environmental sustainability. The study reviews key AI applications in agriculture, including crop yield prediction, innovative irrigation management, image analysis for disease detection, and agricultural automation using robots and drones. Additionally, the research discusses the challenges associated with adopting these technologies, such as high costs, the need for digital infrastructure, and the training requirements for farmers. A descriptive-analytical approach is adopted, incorporating a survey conducted among farmers and agricultural technology experts to assess their awareness of AI technologies and their level of adoption in farming processes. The results indicate that AI technologies significantly contribute to enhancing the agricultural sector, explaining 70.6% of the variation in agricultural performance. Innovative irrigation management emerged as the most impactful AI application, followed by farm automation and robotics, reflecting the role of modern technologies in improving operational efficiency. While image analysis and crop yield prediction had a lesser impact, they remained statistically significant. These findings highlight AI as a promising tool for improving agricultural sustainability, though its successful adoption depends on overcoming cost-related challenges and increasing awareness of its benefits. The study recommends strengthening governmental and private sector efforts to support digital transformation in agriculture through financial incentives and training programs for farmers. | ||||
| Keywords | ||||
| Smart agriculture; Artificial intelligence; Climate change; Resource management; Environmental sustainability | ||||
|
Statistics Article View: 36 |
||||
