Abstract
In the agricultural production, There are many factors play a Decisive role in agricultural output through a comprehensive way , to explore the key factors, this paper introduce the ID3 algorithms to analyze the various factors affecting trying to identify the core factors of production control. In the article, firstly, introduces the basic concept of decision tree and the ID3 algorithm, then analyze Lin Xian’s agricultural output value data of 20 years and formed the preliminary decision tree, then combined with actual situation to generate the decision tree clip; Finally, through the experience of agricultural experts, formed the final decision tree to produces more actual set of rules that in agricultural investment decisions, which has the corresponding reference value to improve agricultural output, and has been proved has very good effect.
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Lu, J., Liu, Y., Li, X. (2011). The Decision Tree Application in Agricultural Development. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_49
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DOI: https://doi.org/10.1007/978-3-642-23881-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23880-2
Online ISBN: 978-3-642-23881-9
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