The implementation of the Internet of Things (IoT) has revolutionized various sectors, including agriculture, by enabling efficient and accurate data collection and analysis. This abstract presents a study focused on the implementation of IoT technology to determine the level of bicarbonate in soil, which plays a crucial role in assessing soil alkalinity and its impact on plant growth. Traditional soil testing methods are often time-consuming, labor-intensive, and require specialized equipment. In contrast, the proposed IoT-based approach utilizes wireless sensors and communication technologies to automate the process of bicarbonate level detection in soil. This system provides real-time data, enabling farmers and agricultural experts to make informed decisions regarding soil management practices. The IoT-based system consists of soil sensors equipped with pH and conductivity sensors, which are capable of measuring the bicarbonate levels in soil accurately. These sensors are deployed across the field and are wirelessly connected to a central hub or gateway, which serves as the data collection and transmission point. The collected data is then transferred to a cloud-based platform for storage and analysis. The cloud-based platform employs advanced analytics techniques to process the collected data and generate actionable insights. These insights are made available to the users through user-friendly interfaces, such as mobile applications or web-based dashboards. The system can provide real-time alerts and notifications to farmers regarding critical soil conditions, enabling them to take prompt corrective measures. The implementation of IoT for bicarbonate level determination offers several advantages over conventional methods. It eliminates the need for manual sampling and reduces the reliance on periodic laboratory testing, resulting in significant cost savings and increased efficiency. Moreover, the continuous monitoring capabilities of the IoT system enable early detection of soil alkalinity issues, allowing for timely interventions to prevent crop damage and yield losses. In conclusion, the implementation of IoT for determining the level of bicarbonate in soil provides a practical and efficient solution for assessing soil alkalinity. By leveraging IoT technologies, farmers can make data-driven decisions, optimize soil management practices, and enhance agricultural productivity. The proposed IoT-based system represents a significant step towards smart and sustainable agriculture, contributing to the advancement of precision farming techniques.