IoT BASED SOIL MOISTURE MANAGEMENT USING CAPACITIVE SENSOR AND USER-FRIENDLY SMARTPHONE APPLICATION-Reference-Cited by-同舟云学术

IoT BASED SOIL MOISTURE MANAGEMENT USING CAPACITIVE SENSOR AND USER-FRIENDLY SMARTPHONE APPLICATION

Published:2022-04-30 Issue: Volume: Page:159-166
ISSN:2068-2239
Container-title:INMATEH Agricultural Engineering
language:en
Short-container-title:INMATEH

Author:

SARMPHIM Pharunee¹,SUTTHIPHON Narongsak²,JAROENSONG Parimate²,SIRISATHITKUL Chitnarong³,SIRISATHITKUL Yaowarat⁴

Affiliation:

1. Faculty of Liberal Arts, Rajamangala University of Technology Srivijaya, Songkhla, 90000, Thailand

2. ) Faculty of Engineering, Rajamangala University of Technology Srivijaya, Songkhla, 90000, Thailand

3. School of Science, Walailak University, Nakhon Si Thammarat, 80160, Thailand

4. School of Engineering and Technology, Walailak University, Nakhon Si Thammarat, 80160, Thailand

Abstract

The Internet of Things (IoT) based system was assembled to monitor the moisture of soils for both indoor and outdoor uses. The SKU:SEN0193 capacitive soil moisture sensor exhibited a linear response to a variation in water volume added to the soil. Microcontroller Arduino NodeMCU was used with ESP8266 Wi-Fi module to transfer the sensing data in real-time, and the soil moisture data was displayed by the Blynk application on a smartphone. When the moisture dropped under the pre-defined threshold, the user was informed via the Line application and able to remotely trigger the irrigation pump

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

Reference32 articles.

1. Abad, B. B., Caranguian, M. M., & Panganiban, E. B. (2020). IoT-based compact-matic drinking water filtration machine. International Journal of Emerging Trends in Engineering Research, 8(7), 3887–3892. https://doi.org/10.30534/ijeter/2020/157872020

2. Adla, S., Rai, N. K., Karumanchi, S. H., Tripathi, S., Disse, M., & Pande, S. (2020). Laboratory calibration and performance evaluation of low-cost capacitive and very low-cost resistive soil moisture sensors. Sensors, 20(2), 363. https://doi.org/10.3390/s20020363.

3. Aulin V. V., Pankov A. O., Zamota T. M., Lyashuk O. L., Hrynkiv A. V., Tykhyi A. A., & Kuzyk A. V. (2019). Development of mechatronic module for the seeding control system. INMATEH - Agricultural Engineering, 59(3), 1–8. https://doi.org/10.35633/INMATEH-59-20

4. Aziz, M. A. A., Abas, M. F., Abu Bashri, M. K. A., Saad, N. M., & Ariff, M. H. (2019). Evaluating IoT based passive water catchment monitoring system data acquisition and analysis. Bulletin of Electrical Engineering and Informatics, 8(4), 1373–1382. https://doi.org/10.11591/eei.v8i4.1583

5. Barik, L. (2019). IoT based temperature and humidity controlling using Arduino and Raspberry Pi. International Journal of Advanced Computer Science and Applications, 10(9), 494–502.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DESIGNING AND CALIBRATION OF A LOW-COST MULTI-POINT SOIL MOISTURE MONITORING SYSTEM FOR PRECISION AGRICULTURE;INMATEH Agricultural Engineering;2024-03-31