NodeMCU and Wireless Sensor Networks in Agriculture: A Review of Environmental Parameter Sensing

P. Paul Shalini*
Immanuel Arasar JJ College of Engineering, Marthandam, Tamil Nadu, India.
Periodicity:July - December'2023
DOI : https://doi.org/10.26634/jwcn.12.1.20317

Abstract

In the agricultural environment, there is an increasing need for advanced techniques and systems to identify and prevent crop diseases. Various challenges such as groundwater depletion, soil erosion, emergence of new pests and diseases, land fragmentation, rural-urban migration, and the availability of power supply for farming are currently impacting the agricultural sector. To address these challenges, a system has been developed to monitor field conditions at farms in real-time, focusing on parameters such as temperature, soil moisture, humidity, and water levels. Sensors collect data, and the real-time values are stored in the cloud. The NodeMCU Microcontroller Unit serves as the main component, acting as a gateway between the field and the internet and facilitating communication of parameter values to the cloud. This system enables farmers to access critical field parameters remotely, promoting the adoption of smart agriculture practices.

Keywords

Wireless Sensor Networks, NodeMCU, Agriculture, Environmental Parameters, Temperature, Humidity, Soil, Water level.

How to Cite this Article?

Shalini, P. P. (2023). NodeMCU and Wireless Sensor Networks in Agriculture: A Review of Environmental Parameter Sensing. i-manager’s Journal on Wireless Communication Networks, 12(1), 37-42. https://doi.org/10.26634/jwcn.12.1.20317

References

[3]. Bhange, M. A., & Hingoliwala, H. A. (2015). A review of image processing for pomegranate disease detection. International Journal of Computer Science and Information Technologies, 6(1), 92-94.
[9]. Manikandan, S. V., & Jayapriya, P. (2016). Precision agriculture using wireless sensor network system: Opportunities and challenges. International Journal of Engineering and Computer Science, 5, 19108-19115.
[12]. Nikhade, R. K., & Nalbalwar, S. L. (2013). Monitoring greenhouse using wireless sensor network. International Journal of Advanced Computer Research, 3(2), 79.
[15]. Vanaja, K. J., Suresh, A., Srilatha, S., Kumar, K. V., & Bharath, M. (2018). IOT based agriculture system using node MCU. International Research Journal of Engineering and Technology, 5(3), 3025-3028.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.