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Erschienen in:
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2021 | OriginalPaper | Buchkapitel

Soil Analysis Using Clustering Algorithm in Davao Region

verfasst von : Oneil B. Victoriano

Erschienen in: Advances in Machine Learning and Computational Intelligence

Verlag: Springer Singapore

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Abstract

The use of data mining and machine learning is common on the advent of artificial intelligence in the field of modern agriculture. The use of clustering algorithm is to classify each data point into a specific group. The soil test report dataset was preprocessed and feed on Rapid Miner and used X-means and K-means clustering algorithms to discover knowledge. The result clusters of locations and chemical characters’ pH, P, K and N were very good in frequency distribution of samples. The analysis and performance of each centroid are far more acceptable due to p-values are less than 0.05. Average sample distance from each centroid is also in acceptable values. For future endeavors, more experiments on clustering the chemical characteristics on each type of crops, soil type, and soil test request date submission from the dataset.

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Vorheriges Kapitel Sentiment Analysis and Prediction of Point of Interest-Based Visitors’ Review
Nächstes Kapitel Gold Tree Sorting and Classification Using Support Vector Machine Classifier
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Metadaten
Titel
Soil Analysis Using Clustering Algorithm in Davao Region
verfasst von
Oneil B. Victoriano
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Advances in Machine Learning and Computational Intelligence

Print ISBN: 978-981-15-5242-7

Electronic ISBN: 978-981-15-5243-4

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-15-5243-4_37

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