Abstract
The dairy industry is one of the oldest and most established industries in Sri Lanka. This research proposes a management platform to improve the efficiency of dairy industry, especially for curd production, with following components: (1) curd consumption demand forecasting, (2) buffalo liquid milk supply forecasting, (3) optimizing curd distribution and (4) a tracking system. A Linear Regression model (LR) has been used for prediction modules and Genetic Algorithms model (GA) has been used for distribution planning. Global Positioning System (GPS) is used to design the tracking system. Using our proposed modules, our results show that the existing problems in the curd production industry can be solved efficiently, while automating services related to dairy production effectively.
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Attygala, M.G., Wijesekara, D.D.M., Wariyapperuma, W.A.P.A., Pushpa Kumara, P.K.A.C., Rankothge, W.H., Gamage, N. (2022). Cloud Based Curd Management System. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. FTC 2021. Lecture Notes in Networks and Systems, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-89906-6_37
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DOI: https://doi.org/10.1007/978-3-030-89906-6_37
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