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Climate Forecastinguses Backpropagation Algorithm Artificial Neural Network Model for Planning Rice Plants In Gowa Regency
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| Author:
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AINUN AYU LESTARI, AHMAD MUNIR2, SUHARDI, DANIEL USENG
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| Abstract:
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Climate is defined as the average size and variability of the relevant quantities of certain variables over a period of time with a period of time from monthly to annual or millions of years. This study aims to develop climate prediction models that are used for planning agricultural cultivation activities. The method used in predicting climate is Backpropagation Artificial Neural Network technique based on rainfall data in 1996-2019 in Samata Village, 1975-2019 in Julu Bori Village and 2007-2019 in Tete Batu Village. The results showed that the climate classification according to Oldeman in Samata Village dan Julu Bori Village were in the C1 climate type suitable for planting one-time rice crops and crops twice in one year while Tete Batu Village was in the B3 climate type suitable for planting rice crops twice and crops once a year.
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| Keyword:
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Climate, Artificial Neural Network, Backpropagation, Cropping Pattern
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.02.014
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| Download:
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Request For Article
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