International Journal of Education and Management Engineering(IJEME)
ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)
Published By: MECS Press
IJEME Vol.7, No.5, Sep. 2017
Development of Cloud Based Incubator Monitoring System using Raspberry Pi
Full Text (PDF, 563KB), PP.35-44
Accurate and quantifiable measurement of light is essential in creating desired outcomes in practical day to day applications such as in Poultry Industry. Light measurement is essential in ensuring the efficiency of egg hatching process. Artificial incubation has been used in the poultry farm for hatching of the eggs. For better hatching of the eggs, the temperature and humidity has to be maintained properly. The proposed system is equipped with DHT11 sensor which monitors the temperature and humidity of the incubator and continuously updates to the cloud through Wi-Fi. Remote user checks the temperature and humidity values and controls the intensity of the bulb through an Android app in his mobile phone. A servo motor is attached to the egg turner kept inside the incubator and is rotated according to the specified delay in order to prevent the yolk from getting stick to the shell of the eggs and also to provide uniform temperature for the eggs. From the experimental results, it is inferred that better hatching of the eggs could be achieved by controlling the intensity of the bulb remotely.
Cite This Paper
Mala Sruthi B, S. Jayanthy,"Development of Cloud Based Incubator Monitoring System using Raspberry Pi", International Journal of Education and Management Engineering(IJEME), Vol.7, No.5, pp.35-44, 2017.DOI: 10.5815/ijeme.2017.05.04
Syed Fasi Uddin, Sudha Arvind (2016),“Wireless Detection And Development Of Cloud Based Light Intensity Monitoring System Using Raspberry PI” International Journal of Innovative Technology and Research,Vol 4, No 4 , pp.3325 – 3330.
Sandip Balaso Khot and Gaikwad,M.S (2016) “Development of cloud-based Light intensity monitoring system for green house using Raspberry Pi” International Conference on Computing Communication Control and automation, DOI: 10.1109/ICCUBEA.2016.7860128
Incubator Warehouse, (2012), Beginner's Guide to Hatching Eggs (05/09/2013), Retrieved from http://incubatorwarehouse.com/incubating-eggs/getting-started-egg-incubating.
Gina M. Alvino, Gregory S, Archer and Joy A. Mench (2009), “Behavioural time budgets of broiler chickens reared light intensities”, ScienceDirect journal, vol. 118, no. 1, pp. 54-61.
Radhakrishnan K, Noble Jose, Sanjay S G, Thomas Cherian, Vishnu K R (2014 ), “Design and Implementation of a Fully Automated Egg Incubator”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering(IJAREEIE)., vol. 3, no. 2, pp. 7666-7672.
Boopathy S, Satheesh kumar M, Mohamed Feroz A (2014), “Performance Optimization Of Poultry Farm By Using Instrumentation With Help Of Embedded Automation”, International Journal of Innovative Research in Computer and Communication Engineering(IJIRCCE)., vol. 2, no. 1, pp. 501-509.
VinuSankar, Rani Chacko, Anish Benny (2015 ), “A Thermo Electric Heating Based Solar Powered Egg Incubator For Remote Areas”, International Journal of Engineering Research in Electrical and Electronic Engineering (IJEREEE)., vol.1, no.7, pp. 10-14.
Fuead Ali and Noor Azhar Amran (2016), “Development of an Egg Incubator using Raspberry Pi for precision farming”, International Journal of Agriculture, Forestry and Plantation., vol. 2, no. 1, pp. 462-469.
Isabel Cristina Boleli and Sandra Aidar de Queiroz (2012), “Effects of Incubation Temperature and Relative Humidity on Embryonic Development in Eggs of Red-Winged Tinamou”, International Journal of Poultry Science., vol. 2, no. 2, pp. 517-523.
Cherry P., and M. W. Barwick (2010), “The effect of light on broiler growth, Light intensity and colour”, Poult. Sci., vol. 3, no.1, pp. 31–39.
J. W. I. Okonkwo, and O. C. Chukwuezie (2012), “Characterization of a Photovoltaic Powered Poultry Egg Incubator”,.4th.International.Conference on Agriculture and Animal Science, IPCBEE., vol. 47, no.3, pp. 457-462.
Pradeep Kumar N and Ravi Kumar Jatoth (2015), “Development of Cloud Based Light Intensity Monitoring System Using Raspberry Pi”, International Conference on Industrial Instrumentation and Control (ICIC)., vol. 2, no. 3, pp. 1356-1361.
Blatchford, R.A., Klasing, K.C., Shivaprasad, H.L., Wakenell, P.S., Archer, G.S., Mench, J.A. (2009), “The effect of light intensity on the behavior, eye and leg health, and immune function of broiler chickens”, Poult. Sci., vol. 88, no. 8, pp. 20–28.
R. J. Lien, J. B. Hess, S. R. McKee and S. F. Bilgili (2008), “Effect of Light Intensity on Live Performance and Processing Characteristics of Broilers”, Poultry Science Association Inc., vol. 87, no. 2, pp. 853-857.
Kristensen, H.H., Prescott, N.B., Perry, G.C., Ladewig, J., Ersbøll, A.K., Overvad, K.C., Wathes, C.M. (2007), “The behaviour of broiler chickens in different light sources and illuminances”, Appl. Anim. Behav. Sci., vol. 103, no. 2, pp. 75–89.
Olanrewaju, H.A., Thaxton, J.P., Dozier, W.A. (III), Purswell, J., Roush, W.B., Branton, S.L. (2006), “A review of lighting programs for broiler production”, Int. J. Poult. Sci., vol. 5, no. 1, pp. 301–308.