Yudhana, Anton and Cahyo, Andreyan Dwi and Sabila, Liya Yusrina and Subrata, Arsyad Cahya and Mufandi, Ilham (2023) Spatial distribution of soil nutrient content for sustainable rice agriculture using geographic information system and Naïve Bayes classifier. [Artikel Dosen]

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Abstract

This study aims to assist farmers in monitoring soil nutrients,
especially phosphorus. To measure the phosphorus content of
paddy soil, the TCS3200 converter, as an intelligent sensor, was
applied. The geographical information system (GIS) was also
involved in this research to map the phosphorus content. In addition,
the Naïve Bayes method was applied to classify lowland soil
phosphorus status. The result of this study indicated that the Naïve
Bayes algorithm could classify lowland soil phosphorus status with a
probability of 0.34 for moderate phosphorus conditions and 0.66 for
high phosphorus conditions. The sample testing results showed that
the error rate was 3% and the success rate was 97%. Testing with
a phosphorus-measuring instrument can be carried out by mapping
the soil phosphorus status with the ArcGIS software, whereby seven
points of medium-phosphorus-status paddy soil and 13 locations
of high-phosphorus-status soil samples were determined. This
research thus successfully mapped the soil phosphorus.

Item Type:	Artikel Dosen
Keyword:	Soil phosphorus, TCS3200 sensor, Geographic Information System (GIS), Naïve Bayes
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	S.T., M.T. Liya Yusrina Sabila
Last Modified:	28 Mar 2023 14:34
URI:	http://eprints.uad.ac.id/id/eprint/41736
Dosen Pembimbing:	UNSPECIFIED | [error in script]

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