AGROAI DRONE - SMART AGRICULTURAL MONITORING PLATFORM WITH ARTI-FICIAL INTELLIGENCE
DOI:
https://doi.org/10.56292/SJFSU/vol31_iss6/a270Keywords:
Artificial intelligence, smart drone, agriculture, crop productivity, salinity, monitoring, IoT.Abstract
This article discusses the “AgroAI Drone” monitoring platform developed on the basis of artificial intelligence. The system enables farmers to increase crop productivity, reduce water and fertilizer consumption, detect soil salinity, and diagnose plant diseases at early stages. The integration of drones, IoT sensors, and artificial intelligence provides farmers with accurate real-time data and recommendations.
References
1. Zhang, Y., et al. (2023). Precision Agriculture Using Drone Technology. Journal of Smart Farming.
2. Kim, S., & Patel, R. (2022). AI-based Seed Planting Drones for Sustainable Agriculture. IEEE Transactions on Robotics.
3. O‘zbekiston Respublikasi Qishloq xo‘jaligini raqamlashtirish strategiyasi – 2030.
4. FAO Report (2024). Digital Agriculture Transformation in Central Asia.
5. Abdubannopov, A.A. (2025). AgroTech innovatsiyalari asosida hosildorlikni oshirish yo‘llari. Farg‘ona davlat texnika universiteti ilmiy to‘plami.
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