Soil pH Measurement System Using Internet of Things (IoT) Technology
Conference proceedings article
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Publication Details
Author list: Makararpong D.; Ketcham M.; Ganokratanaa T.; Chumuang N.; Pramkeaw P.; Kwansomkid K.
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2025
ISBN: 979-833153326-7
Languages: English-Great Britain (EN-GB)
Abstract
The rapid advancement of Internet of Things (IoT) technology presents significant opportunities for improving agricultural practices, particularly in soil management. This research focuses on the development and evaluation of a soil pH measurement system integrated with IoT technology to aid farmers in monitoring and managing soil conditions. The system provides real-time, accurate soil pH data, which is essential for optimizing crop growth and productivity by ensuring optimal soil health. The prototype of the soil pH measurement system was developed and tested with a group of 30 farmers, who were asked to use the application and provide feedback on various aspects such as system design, ease of use, material quality, and data clarity. The results of the testing phase showed that the system was well-received by the users. The majority of respondents (85%) expressed satisfaction with the design and usability of the application. Furthermore, the system's real-time pH data, as well as the ability to generate clear and actionable reports, received high ratings from the users. The research also identified areas for further improvement, including the need to enhance the ease of use and optimize the user interface to accommodate a broader range of users. Overall, the findings demonstrate that IoT-based technology can significantly improve soil pH monitoring, providing farmers with the tools needed to make data-driven decisions. This, in turn, leads to better soil management practices, increased agricultural productivity, and more sustainable farming. This research underscores the potential of IoT technology in addressing critical agricultural challenges and offers a foundation for future developments of similar systems designed to enhance farm management practices globally. The insights gained from this study contribute to the growing body of knowledge in precision agriculture and can serve as a guide for the development of other IoT-based agricultural solutions. © 2025 IEEE.
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