Comparative analysis of classification algorithms for critical land prediction in agricultural cultivation areas
Currently, the identification of critical land, that has been physically, chemically, and biologically damaged, uses a geographic information system. However, it requires a high cost to get the high resolution of satellite images. In this study, a comparison framework is proposed to determine the pe...
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Format: | Article |
Language: | English |
Published: |
Diponegoro University
2020-10-01
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Series: | Jurnal Teknologi dan Sistem Komputer |
Subjects: | |
Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13668 |