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Erschienen in:
2020 | OriginalPaper | Buchkapitel
67. Projection of Population and Prediction of Food Demand Through Mining and Forecasting Techniques
verfasst von : J. Antonita Shilpa, V. Bhanumathi
Erschienen in: Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications
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Abstract
Food, clothing and shelter are the basic needs of man. The most essential among the needs is food. There is always a wide gap between supply and demand because of the changes in food preference. The change in food preference is the major factor in prediction of food demand. The proposed method uses the second-order Taylor series for the projection of population; having the estimated population as input as the food demand based on the change in food requisite is anticipated. The implementation is carried out through Java. The population and food demand of the continental U.S. are projected by the proposed method. The food demand prediction through the proposed method is similar to the actual demand with deviation close to 0.1%.