Authors :
Emmanuel SHYAKA; Dr. Wilson Musoni
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/3maee7t3
Scribd :
https://tinyurl.com/u38cms9p
DOI :
https://doi.org/10.38124/ijisrt/25apr373
Google Scholar
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Abstract :
This research explores the development of an IoT-based smart system to enhance milk collection and quality
assessment, with a case study at INYAMBO Flesh Dairy Ltd, Rwanda. The study focuses on improving the accuracy,
efficiency, quality control, and transparency of the milk collection process. The system integrates technologies such as a
Total Dissolved Solids (TDS) sensor for quality testing, RFID for farmer identification, and a centralized database for data
management. The process includes assessing milk quality through TDS measurements, followed by weighing the milk and
associating it with the farmer’s RFID card for data storage. Real-time SMS updates are sent to farmers about their milk’s
quality, weight, and payments. The study addresses traditional challenges like quality control issues, manual errors, and
inefficient record-keeping. Results show that the IoT-based system enhances the milk collection process by ensuring
consistent quality, reducing errors, and automating notifications. This leads to better decision-making, improved quality
control, and increased transparency, benefiting all stakeholders in the milk production chain. The study demonstrates the
potential of IoT technologies to improve dairy management practices.
Keywords :
Iot-Based Smart Load Cell System, RFID Technology, Centralized Database, SMS Gateway API
References :
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- Bhandari, B. B. (2023). Analysis of Traditional Milk Collection and Marketing System in Nepal. Nepal: Journal of Agriculture and Environment for International Development.
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- Hofstee, a. R. (Jan. 2022.). RFID Technology in Dairy Farming. In J. W. L. J. Van der Vorst. IEEE Transactions on Automation Science and Engineering.
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- Vangelista, a. M. (Feb. 2021). Internet of Things for Smart Cities. In N. B. A. Zanella. IEEE Internet of Things Journal.
This research explores the development of an IoT-based smart system to enhance milk collection and quality
assessment, with a case study at INYAMBO Flesh Dairy Ltd, Rwanda. The study focuses on improving the accuracy,
efficiency, quality control, and transparency of the milk collection process. The system integrates technologies such as a
Total Dissolved Solids (TDS) sensor for quality testing, RFID for farmer identification, and a centralized database for data
management. The process includes assessing milk quality through TDS measurements, followed by weighing the milk and
associating it with the farmer’s RFID card for data storage. Real-time SMS updates are sent to farmers about their milk’s
quality, weight, and payments. The study addresses traditional challenges like quality control issues, manual errors, and
inefficient record-keeping. Results show that the IoT-based system enhances the milk collection process by ensuring
consistent quality, reducing errors, and automating notifications. This leads to better decision-making, improved quality
control, and increased transparency, benefiting all stakeholders in the milk production chain. The study demonstrates the
potential of IoT technologies to improve dairy management practices.
Keywords :
Iot-Based Smart Load Cell System, RFID Technology, Centralized Database, SMS Gateway API