Now showing items 1-2 of 2

    • Advanced sensor-based system for soil nutrient analysis and AI-driven crop recommendation 

      Dipak, P. P.; Tushar, H. J.; Sandip, R. S. (БНТУ, 2025)
      This research presents an automated soil analysis system integrating NPK sensors with machine learning for precision agriculture. The framework employs Arduino UNO microcontroller and ESP8266 Wi-Fi module to capture real-time nitrogen, phosphorus, and potassium levels from soil samples. Collected data transmits to cloud infrastructure where trained algorithms process nutrient ...
      2026-01-14
    • Intelligent wearable technology for real-time infant vital sign monitoring: an iot and artificial intelligence framework 

      Tushar, H. J.; Dipak, P. P. (БНТУ, 2025)
      Neonatal mortality claims 2.8 million lives annually within 28 days of birth. This research presents an intelligent wearable wristband using IoT-AI for continuous neonatal monitoring. Device tracks heart rate, oxygen saturation, temperature, and respiratory patterns through miniaturized sensors. Machine learning algorithms detect anomalous vital signs, achieving 94.7 % accuracy ...
      2026-01-14