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The increasing demand for sustainable and efficient agricultural practices necessitates the integration of smart technologies in farming.[1] Traditional irrigation systems often result in overuse or underuse of water, leading to reduced crop yields and resource wastage.[2] Additionally, manual nutrient deficiency detection in crops is time-consuming and prone to human errors.[3] To address these challenges, this research presents Crop Guard, an IoT-based smart irrigation system with integrated nutrient deficiency detection.[4] CropGuard automates irrigation by leveraging real-time environmental data from soil moisture, temperature, humidity, and sunlight sensors, optimizing water usage. [5] Furthermore, it incorporates image processing techniques to analyze crop health, identifying potential nutrient deficiencies and providing actionable insights to farmers through an intuitive user interface.[6] The proposed system enhances agricultural productivity by ensuring optimal water management and timely nutrient intervention, ultimately contributing to improved crop yields and sustainable farming practices.[7]