Developed Model of Iot Based Smart Load Cell for Milk Collection System A Case of in Yambo Flesh Dairy Ltd (Nyanza District)

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.