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JACST Journal of Advanced Computer Science & Technology E-ISSN 2227-4332

Artificial Neural Networks for Dairy Industry: A Review

Abstract

Artificial Neural Networks (ANNs) have been implemented in almost every field, viz., science, technology, medicine and engineering as they have proved useful tools for obtaining the desired output including the analyses and shelf life prediction in case of food products. This review discusses the systematic information available in the literature concerning the implementation of ANN models for shelf life determination of milk, various dairy products, viz., yoghurt, chocolate, butter, cheese, kalakand, dairy confections and milk based coffee drinks, which would be very useful for dairy industry, consumers, wholesalers, retailers, regulatory agencies, food researchers and academicians.

Authors and Affiliations

  • Sumit Goyal National Dairy Research Institute, India

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Author Biography

  • Sumit Goyal, National Dairy Research Institute, India
    SRF,N.D.R.I.,KARNAL

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[15] Goyal, Sumit and Goyal, G.K. (2012). Radial basis (exact fit) and linear layer (design) computerized ANN models for predicting shelf life of processed cheese. Computer Science Journal, 2(1), 11-18.

[16] Goyal, Sumit and Goyal, G.K. (2012). Time-Delay artificial neural network computing models for predicting shelf life of processed cheese. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 3(1), 63-70.

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[18] Goyal, Sumit and Goyal, G.K. (2012). A novel method for shelf life detection of processed cheese using cascade single and multi layer artificial neural network computing models. ARPN Journal of Systems and Software, 2(2), 79-83.

[19] Goyal, Sumit and Goyal, G.K. (2011). Performance of generalized regression, radial basis (fewer neurons), and linear layer (design) computational ANN techniques for shelf life prediction of processed cheese. International Journal of Artificial Intelligence and Knowledge Discovery, 1(4), 12-15.

[20] Goyal, Sumit and Goyal, G.K. (2011). Advanced computing research on cascade single and double hidden layers for detecting shelf life of kalakand: An artificial neural network approach. International Journal of Computer Science and Emerging Technologies, 2(5), 292-295.

[21] Goyal, Sumit and Goyal, G.K. (2011). A new scientific approach of intelligent artificial neural network engineering for predicting shelf life of milky white dessert jeweled with pistachio. International Journal of Scientific and Engineering Research, 2(9), 1-4.

[22] Goyal, Sumit and Goyal, G.K. (2012). Radial basis (exact fit) artificial neural network technique for estimating shelf life of burfi. Advances in Computer Science and its Applications, 1(2), 93-96.

[23] Goyal, Sumit and Goyal, G.K. (2011). Brain based artificial neural network scientific computing models for shelf life prediction of cakes. Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition, 2(6), 73-77.

[24] Goyal, Sumit and Goyal, G.K. (2011). Simulated neural network intelligent computing models for predicting shelf life of soft cakes. Global Journal of Computer Science and Technology, 11(14), Version 1.0, 29-33.

[25] Goyal, Sumit and Goyal, G.K. (2011). Radial basis artificial neural network computer engineering approach for predicting shelf life of brown milk cakes decorated with almonds. International Journal of Latest Trends in Computing, 2(3), 434-438.

[26] Goyal, Sumit and Goyal, G.K. (2011). Development of intelligent computing expert system models for shelf life prediction of soft mouth melting milk cakes. International Journal of Computer Applications, 25(9), 41-44.

[27] Goyal, Sumit and Goyal, G.K. (2012). Central nervous system based computing models for shelf life prediction of soft mouth melting milk cakes. International Journal of Information Technology and Computer Science, 4(4), 33-39.

[28] Goyal, Sumit and Goyal, G.K. (2011).Application of artificial neural engineering and regression models for forecasting shelf life of instant coffee drink. International Journal of Computer Science Issues, 8(4), No. 1, 320-324.

[29] Goyal, Sumit and Goyal, G.K. (2011).Cascade and feedforward backpropagation artificial neural networks models for prediction of sensory quality of instant coffee flavoured sterilized drink. Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition, 2(6), 78-82.

[30] Goyal, Sumit and Goyal, G.K. (2011). Development of neuron based artificial intelligent scientific computer engineering models for estimating shelf life of instant coffee sterilized drink. International Journal of Computational Intelligence and Information Security, 2(7), 4-12.

[31] Goyal, Sumit and Goyal, G.K. (2012). Study on single and double hidden layers of cascade artificial neural intelligence neurocomputing models for predicting sensory quality of roasted coffee flavoured sterilized drink. International Journal of Applied Information Systems, 1(3), 1-4.

[32] Goyal, Sumit and Goyal, G.K. (2011). Computerized models for shelf life prediction of post-harvest coffee sterilized milk drink. Libyan Agriculture Research Center Journal International, 2 (6), 274-278.


How to Cite

Goyal, S. (2012). Artificial Neural Networks for Dairy Industry: A Review. Journal of Advanced Computer Science & Technology, 1(3), 101-115. https://doi.org/10.14419/jacst.v1i3.109