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Jiaqi Zheng

About

Embarking on a Master's journey at KAUST, I am enthusiastic about delving into the dynamic realms of LoRa Smart Systems and Machine Learning. At the intersection of long-range, low-power LoRa technology and the transformative power of Machine Learning, The project's primary objective is to develop a customized irrigation dashboard to optimize water management in agriculture. This dashboard will integrate data from various sensors, weather forecasts, and soil moisture levels to give farmers real-time insights. The dashboard aims to facilitate efficient decision-making regarding irrigation scheduling and resource allocation by offering a user-friendly interface. Ultimately, the irrigation dashboard aspires to be a practical tool, leveraging technology to maximize agricultural productivity while minimizing environmental impact.