This document describes a project to monitor and control azolla crop growth through an Internet of Things system using an ARM Cortex-M0 microcontroller. It involves collecting temperature and pH sensor readings from an azolla pond and sending the data to a website via WiFi. If the pH is too high or low, motors will pump acidic or basic water into the pond to regulate it. The system aims to optimize azolla growth conditions for use as livestock feed or fertilizer. Implementation involves interfacing sensors to an ARM processor and ESP-01 WiFi module to upload data to a cloud platform for remote monitoring of pond conditions. Results show successful data collection and control of water pumps based on pH thresholds. The system provides an automated solution