Visible Spectroscopy Analysis of Fat Content in Milk using Lab VIEW
M Sujatha1, P. Nagarjuna2, A. Bala Sai Ram3, A. Hemanth Venkata Sai4, K. Tarun5, Sk Hasane Ahammad6
1Dr. M Sujatha, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
2P. Nagarjuna, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
3A. Bala Sai Ram, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
4A. Hemanth Venkata Sai, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
5K. Tarun, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
6Sk Hasane Ahammad, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur (A.P), India.
Manuscript received on 19 February 2019 | Revised Manuscript received on 10 March 2019 | Manuscript Published on 08 June 2019 | PP: 746-750 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E11540275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Present generation there is drastic increase in the production of Milk which eventually made increment of Milk Centres in different areas. Since most of the milk come from farmers ,the probability of misrepresenting the information is very high where farmers do not understand ,In order to make the system very transparent to all the people who deposit the milk, The paper is designed to automate the measuring of the fat content present in the milk with the help of Embedded Technology. This System is designed in such a way to work without any human interaction. The system used the concept of diffraction of light to calculate the fat percentage of the milk using LDR and LASER (Spectroscopy Concept). The System also used the Unique identification technique using RFID. The System will also store the information of the depositors for future references of data. This being a completely automated system, this will decrease the amount of any illegal activities performed by the vendors at the Milk Station.
Keywords: RFID, LDR, LASER.
Scope of the Article: IoT Applied for Digital Contents