International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 3

A brief study on soil moisture sensors

AUTHOR(S)

Atharva Pathak, Bhuvan G.S., Hriday Katti, Medhansh Jani, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G.

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.079

ABSTRACT
A brief study on soil moisture sensors is discussed in this survey article. The objective of this research was to assess the efficacy of capacitive soil moisture sensors in precision agriculture. The study involved testing various types of sensors in soil with varying moisture levels, placed at a depth of 10 cm, and monitoring changes in soil moisture over time. The findings revealed that all types of sensors had a high level of accuracy, averaging 95%. However, some sensors exhibited greater sensitivity to changes in soil moisture than others. Additionally, the study discovered that soil type impacted sensor accuracy, with lower clay content yielding better performance. Overall, the results suggest that capacitive soil moisture sensors are a valuable tool for precision agriculture, enabling farmers to accurately track soil moisture levels and optimize irrigation practices. The work done & presented in this paper is the result of the mini-project work that has been done by the first sem engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the starting of their engineering career and also to test the presentation skills during their mini-project presentation. The work done & presented in this paper is the report of the assignment / alternate assessment tool as a part and parcel of the academic assignment of the first year subject on nanotechnology & IoT.

Page No: 554 - 557

References:

  • Hutson, J. L., Walthall, C. L., & Nielsen, D. R. (1991). Soil moisture sensors: Calibration and use. Journal of Production Agriculture, 4(4), 507-513.
  • Löfgren, B. (2005). Capacitance-based measurement of soil water content: Theory, practice, and environmental applications. Vadose Zone Journal, 4(2), 436-449.
  • Robinson, D. A., Jones, S. B., Wraith, J. M., Or, D., & Friedman, S. P. (2003). A review of advances in dielectric and electrical conductivity measurement in soils using time domain reflectometry. Vadose Zone Journal, 2(4), 444-475.
  • Vereecken, H., Huisman, J. A., Pachepsky, Y., Montzka, C., van der Kruk, J., Bogena, H., ... & Weihermüller, L. (2016). Emerging technologies for non-invasive sensing of soil water content: Opportunities for improved agricultural water management. Vadose Zone Journal, 15(6).
  • Western, A. W., Grayson, R. B., & Blöschl, G. (1999). Scaling of soil moisture: A hydrologic perspective. Annual Review of Earth and Planetary Sciences, 27(1), 293-326.
  • Zreda, M., Desilets, D., Ferré, T. P., & Scott, R. L. (2008). Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons. Geophysical Research Letters, 35(21).
  • https://arduinopoint.com/soil-moisture-sensor-arduino-project/
  • Pavithra G., Nandan H.R., T.C. Manjunath, Balaji K.A., Mahesh B. Neelagar, “Two hybrid CNN Algorithms with An Android Application for Detection of Glaucoma, “2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, Karnataka, India, pp. 1-6, 3-4 December 2021,
  • Raj K. Shashi, G. Pavithra, T.C. Manjunath, “Developing a novel steganography concept of audio data into audio streams”, 2022 4th IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, Tamil Nadu, India, pp. 229-233, 20-22 January 2022,
  • Shashi Raj K., Kumar Puttaswamy, Shubhangi Joshi, G. Pavithra, T.C. Manjunath, “New Approach of Steganographic Design of Speech Signals & its Application to Voice Recognitions”, 2022 7th IEEE International conference for Convergence in Technology (I2CT), Mumbai, India, pp. 1-5, 7-9 April 2022.
  • Nayanthara Prathap, Akash Suresh, Pavithra G., T.C. Manjunath, “Prediction of COVID-19 by analysis of Breathing Patterns using the Concepts of Machine Learning and Deep Learning Techniques”, 2022 2nd International Conference on Intelligent Technologies (CONIT), Hubli, India, pp. 1-7, 24-26 June 2022,
  • V.K. Suhasini, Prerana B. Patil, K.N. Vijaykumar, S.C. Manjunatha, T. Sudha, P. Kumar, Gopalaiah Ramachandraiah, G. Pavithra, T.C. Manjunath, “Detection of Skin Cancer using Artificial Intelligence & Machine Learning Concepts,” 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Goa, India, pp. 343-347, 08-09 October 2022,
  • Shobha A.S. & T.C. Manjunath, “Design & development of transmitted & encrypted datas using SDN and energy self-healing concepts used in RF energy harvesting wireless sensor nets”, 2022 Third IEEE International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, Kerala, India, pp. 686-689, 11-12 August 2022.

How to Cite This Article:
Atharva Pathak, Bhuvan G.S., Hriday Katti, Medhansh Jani, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G. .A brief study on soil moisture sensors . ijetms;7(3):554-557. DOI: 10.46647/ijetms.2023.v07i03.079