SMART AGRICARE AUTOMATED CROP RECOMMENDATION AND IRRIGATION SYSTEM USING CLOUD COMPUTING

Abstract

Modern agricultural operations need optimized wa- ter resources because they must operate sustainably, especially in water-shortage conditions where common irrigation practices yield suboptimal results. This paper presents IntelliGrow as an IoT system for precision agriculture, which uses environmental moni toring and smart water management to boost farming effectiveness. The ESP-32 microcontroller operates IntelliGrow by integrating sensors for measuring soil moisture, temper- ature, and humidity levels to collect examination data that gets processed through cloud computing with machine learning model analysis. Through a web platform specifically designed for farmers, they can view live data, control water distribution, and gain detailed recommendations according to their soil conditions along with weather patterns. The experimental findings show that the IntelliGrow system cuts down water use by 40% while giving farmers yields 12-15% higher than traditional agricultural practices. IntelliGrow integrates IoT technology with cloud infrastructure along with adaptive AI functionality to solve present-day irrigation system constraints, thus providing users with an overviewable and scalable sustainable farming solution.