ARTIFICIAL INTELLIGENCE IN AGRICULTURE IN UZBEKISTAN: SOLUTIONS FOR INCREASING PRODUCTIVITY
Keywords:
Artificial Intelligence, Agriculture, Uzbekistan, Precision Farming, Crop Monitoring, Smart Irrigation, Pest Control, Yield Prediction, Water Scarcity, Soil Degradation, Automation, Machine Learning, Internet of Things, Drones, Sustainable Development, Digital Uzbekistan, Food SecurityAbstract
Agriculture remains a vital sector in Uzbekistan, supporting livelihoods and ensuring food security. However, challenges such as water scarcity, soil degradation, labor shortages, and climate variability threaten productivity. Artificial Intelligence (AI) offers innovative solutions to enhance efficiency, optimize resource use, and automate processes. This article explores AI applications in Uzbekistan’s agriculture, including precision farming, crop monitoring, irrigation management, pest control, and yield prediction. It analyzes local case studies, challenges, and opportunities, proposing strategies to integrate AI for sustainable agricultural development.
References
1. Keymakr. (2024). Integrating AI in Agriculture for Enhanced Efficiency.
2. Daryo. (2023). Uzbekistan Actively Boasts Artificial Intelligence.
3. AI4DA. (2021). Uzbekistan: The Dawn of an Innovation-Driven Economy.
4. Farming.co.uk. (2022). Smart Farming in Uzbekistan.
5. MDPI. (2023). Artificial Intelligence: Implications for the Agri-Food Sector.
