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International Conference on Innovative Computing and Communications pp 679–688Cite as

IoT-Based System to Measure Soil Moisture Using Soil Moisture Sensor, GPS Data Logging and Cloud Storage

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1165)

Abstract

In this paper, we have discussed about the development of a soil moisture sensor, integrated with GPS and cloud that can be utilized for several applications such as irrigation management wastewater reclamation. Soil moisture plays vital role in plant growth and provides them nutrients. Therefore, it is important to detect the soil moisture content for proper development of plants. This IoT project uses soil moisture sensor to notify the user when the soil gets too dry or too wet. This device is developed on Arduino platform and has the capability to communicate in a wireless manner with the other devices to provide the soil moisture value as well as the latitude and longitude of the installed location with the help of GPS module integrated with it. Sensor has been calibrated by measuring the ground truth gravimetric soil moisture. A total of 16 samples were taken for developing the relationship between gravimetric soil moisture and output voltage, whereas more samples were used to validate the developed relationship. A good correlation is also observed between the soil moisture evaluated with developed sensor and ground truth gravimetric soil moisture. The data can be logged into SD card, and the developed device has the capacity to share the data with any Arduino IoT cloud platform through which we can examine and control the data of the device. We used Internet of things, as it paved a new path toward enhancing technology and getting it on our finger tips.

Keywords

  • Soil moisture sensor
  • Arduino
  • IoT
  • GPS
  • Irrigation
  • Calibration

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References

  1. C. Pathe, W. Wagner, D. Sabel, M. Doubkova, J.B. Basara, Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA. IEEE Trans. Geosci. Remote Sens. 47, 2468–2480 (2009)

    CrossRef  Google Scholar 

  2. N. Pierdicca, L. Pulvirenti, C. Bignami, Soil moisture estimation over vegetated terrains using multitemporal remote sensing data. Remote Sens. Environ. 114, 440–448 (2010)

    CrossRef  Google Scholar 

  3. J.D. Bolten, W.T. Crow, Z. Xiwu, T.J. Jackson, C.A. Reynolds, Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS) 3(1), 57–66 (2010)

    Google Scholar 

  4. M.M. Wen, G. Liu, R. Horton, K. Noborio, An in-situ probe spacing correction thermo TDR sensor to measure soil water content accurately. Eur. J. Soil Sci. 69(6), 1030–1034 (2018)

    CrossRef  Google Scholar 

  5. M.J. Oates, K. Ramadan, J.M. Molina-Martínez, A. Ruiz-Canales, Automatic fault detection in a low-cost frequency domain (capacitance based) soil moisture sensor. Agric. Water Manag. 183, 41–48 (2017)

    CrossRef  Google Scholar 

  6. E. Alejandro, C. Marco, R. Giulio, P. Simonetta, S. Emanuele, G. Leila, P. Nazzareno, F. Nicolas, Global navigation satellite systems reflectometry as a remote sensing tool for agriculture. Remote Sens. 4, 2356–2372 (2012)

    CrossRef  Google Scholar 

  7. K.M. Larson, E.E. Small, G. Ethan, B. Andria, A. Penina, B. John, Using GPS multipath to measure soil moisture fluctuations: initial results. GPS Solut. 12(3), 173–177 (2008)

    CrossRef  Google Scholar 

  8. P. Singh, S. Saikia, Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module, in 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (2016), pp. 1–4

    Google Scholar 

  9. R. Nandhini, S. Poovizhi, P. Jose, R. Ranjitha, S. Anila, Arduino based smart irrigation system using IoT, in 3rd National Conference on Intelligent Information and Computing Technologies, IICT’17 (2017)

    Google Scholar 

  10. V. Chamoli, R. Prakash, A. Vidyarthi, A. Ray, Sensitivity of NavIC signal for soil moisture variation, in IEEE International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) (2017), pp. 1–4

    Google Scholar 

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Authors and Affiliations

  1. Graphic Era (Deemed to be University), Dehradun, India

    Ayushi Johri,  Anchal, Rishi Prakash, Anurag Vidyarthi, Vivek Chamoli & Sharat Bhardwaj

Authors
  1. Ayushi Johri
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  2. Anchal
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  3. Rishi Prakash
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  4. Anurag Vidyarthi
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  5. Vivek Chamoli
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  6. Sharat Bhardwaj
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Corresponding author

Correspondence to Ayushi Johri .

Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Dr. Deepak Gupta

  2. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Dr. Ashish Khanna

  3. CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    Prof. Dr. Siddhartha Bhattacharyya

  4. Department of Information Technology, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Dr. Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Rohini, Delhi, India

    Dr. Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Rohini, Delhi, India

    Dr. Ajay Jaiswal

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Cite this paper

Johri, A., Anchal, Prakash, R., Vidyarthi, A., Chamoli, V., Bhardwaj, S. (2021). IoT-Based System to Measure Soil Moisture Using Soil Moisture Sensor, GPS Data Logging and Cloud Storage. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1165. Springer, Singapore. https://doi.org/10.1007/978-981-15-5113-0_55

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