Published Paper Details:

Breastmilk monitoring is essential in neonatal care as it plays a significant role in the growth and development of infants. Conventional techniques for breastmilk monitoring are often labor-intensive, time-consuming, and prone to human error. Therefore, the need for an automated system that can accurately identify, monitor, and classify breastmilk has arisen. The conventional techniques for breastmilk monitoring involve manual recording of the date, time, and quantity of breastmilk. The milk is then labeled with the mother's name and stored in a refrigerator. However, this method is prone to human error, and it is challenging to track the expiration of breastmilk. In this paper, we propose an RFID-based breastmilk identification and monitoring system that utilizes a humidity sensor, a temperature sensor, and a breast milk stage classification system using a pH and color sensor. The proposed system utilizes RFID technology to accurately identify and monitor breastmilk. Each bottle / pack of breastmilk is tagged with an RFID tag that contains information about the mother, the date and time of expression, and the volume of milk. The system also includes a humidity sensor and a temperature sensor to monitor the storage conditions of breastmilk in the refrigerator. The breast milk stage classification system uses a pH and color sensor to classify breastmilk into three stages: colostrum, transitional milk, and mature milk. The pH and color sensor measures the pH level and color of breastmilk and compares them with pre-defined values for each stage. A breast milk stage classification system using a pH and color sensor provides an automated, accurate, and reliable method for breastmilk monitoring. This system has the potential to reduce human error, save time, and ensure the provision of quality care to infants.