Spatial decision tree model for garlic land suitability evaluation
نویسندگان
چکیده
Predicting land and weather characteristics as indicators of suitability is very important in increasing effectiveness food production. This study aims to evaluate the garlic using spatial decision tree algorithm. The algorithm improvement conventional which join relation included grow up tree. dataset consists a target layer that represents ten explanatory layers represent areas Magetan Solok district, Indonesia. generated best trees for each area. On dataset, model has 33 rules with 94.34% accuracy relief variable root node, whereas on 66 60.29% soil texture node.
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2021
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v10.i3.pp666-675