Abstract
Artificial Neural Network (ANN’s) technology with PSO as optimization technique was used for the approximation and prediction of paddy yield at 3 different districts in different climatic zones based on 10 years of historical data sets of yields of paddy ,daily temperature(mean and maximum) and precipitation(rainfall).
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References
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© 2011 Springer-Verlag Berlin Heidelberg
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Baral, S., Kumar Tripathy, A., Bijayasingh, P. (2011). Yield Prediction Using Artificial Neural Networks. In: Das, V.V., Stephen, J., Chaba, Y. (eds) Computer Networks and Information Technologies. CNC 2011. Communications in Computer and Information Science, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19542-6_57
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DOI: https://doi.org/10.1007/978-3-642-19542-6_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19541-9
Online ISBN: 978-3-642-19542-6
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