Laboratory calibration and field testing of Arduino soil moisture monitoring system

Date

12-2016

Degree

Bachelor of Science in Agricultural and Biosystems Engineering

Major Course

Major in Structures and Environment

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Ronaldo B. Saludes

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

Monitoring soil moisture content plays an important role in crop water management. In this study a soil moisture monitoring system, consisting of Arduino soil moisture meter and gypsum block sensors, was calibrated using laboratory-scale experiment. Calibration models were developed for sandy clay loam and clay loam soils at 15 cm and 30 cm soil depths. Regression analysis revealed power relationship between soil electrical resistances and volumetric content values. For sandy clay loam soil, the calibration model at 15 cm soil depth can be expressed as y = 21.37 x^-0.23 (R̄² = 0.92). The calibration models for clay loam at 15 cm and 30 cm soil depths are expressed as y = 63.27 x^-0.03 (R̄² = 0.72), y = 51.15 x^-0.03 (R̄² = 0.72) respectively. The last two models were validated by conducting field measurements in Jamboree, UPLB. Model validation showed RMSE values ranging from 7.66% to 25.51% and 3.80% to 13.20% for 15 cm and 30 cm respectively. The results of the study suggest that Arduino soil moisture module has the potential of being a cost-effective method of monitoring soil moisture. Accurate results can be further achieved if field calibration is performed for different soil types and soil depths.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2016 A2 B66

Document Type

Thesis

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