A data-driven approach to soil moisture collection and prediction using a wireless sensor network and machine learning techniques

Hong, Zhihao

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University of Illinois at Urbana-Champaign

A data-driven approach to soil moisture collection and prediction using a wireless sensor network and machine learning techniques

dc:creator Hong, Zhihao

thesis:degree_name M.S.

dc:date2015

Abstract

dc:description

DSpace SAF Submission Ingestion Package generated from Vireo submission #8288 on 2015-09-29 at 14:58:34

Degree

thesis:*

Name thesis:degree_name: M.S.
Level thesis:degree_level: Thesis
Discipline thesis:degree_discipline: Electrical & Computer Engineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2015

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Hong, Zhihao
Contributors dc:contributor: Iyer, Ravishankar K.
Kalbarczyk, Zbigniew T.

Subjects

dc:subject × 4

Rights

dc:rights

Language dc:language: en

Identifiers

dc:identifier.*

Handle dc:identifier: http://hdl.handle.net/2142/88145
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/88145

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Hong, Zhihao. A data-driven approach to soil moisture collection and prediction using a wireless sensor network and machine learning techniques. Thesis thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/88145

A data-driven approach to soil moisture collection and prediction using a wireless sensor network and machine learning techniques

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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