Abstract
The utilize of GStar-I soil moisture content viewer has greatly changed the information management of meteorological departments, the accuracy of the equipment is a big problem. Checking the possible malfunction of the equipment from the collected data intelligently is a solution. DBSCAN algorithm is a clustering algorithm, which can help to discover the noise points help to classify the noise points can analyze the reason of malfunction.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, JM., Han, L., Zhen, SY., Yao, LT. (2011). Soil Moisture Content Error Detection Based on DBSCAN Algorithm. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_14
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DOI: https://doi.org/10.1007/978-3-642-23753-9_14
Publisher Name: Springer, Berlin, Heidelberg
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