Smart Milk Quality Analysis and Grading Using IoT
| Autor: | Kavinkumar M, Kokul N S, Krishna N S, S. Saravanan, Nitheeshkumar V I |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Total cost Fat content media_common.quotation_subject 020208 electrical & electronic engineering 010401 analytical chemistry 02 engineering and technology Extremely Helpful 01 natural sciences Automation 0104 chemical sciences Reliability engineering Microcontroller 0202 electrical engineering electronic engineering information engineering Quality (business) Internet of Things business Grading (education) media_common |
| Zdroj: | 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). |
| DOI: | 10.1109/iciccs51141.2021.9432298 |
| Popis: | India is a predominantly agricultural region. As a result, each dairy has a significant number of milk depositors. Analyzing each depositor's milk and manually maintaining the data is incredibly challenging. This idea would be extremely helpful in addressing this issue. Our idea is the design and implementation of a microcontroller-based device for detecting and grading milk parameters. Milk quantity, pH, CLR, and SNF are among the parameters. These parameters are measured by using different sensors. Many dairies depend primarily on CLR and fat content tests to assess milk purity, which are not accurate. But in this idea every milk parameter value can be used to rate the milk. After calculating the quality of the milk, the total cost will be calculated automatically. Then every detail about the milk and cost will be updated in database. Whenever it is needed the user can easily get it from the simple mobile application. This is a low-cost and effective approach that would be very useful in the future automated world. |
| Databáze: | OpenAIRE |
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