Internet of Things (IoT) based Irrigation and Soil Nutrient Management System

0*
Department of Information Technology, Government Polytechnic, Daman, Daman & Diu, India.
Periodicity:January - June'2021
DOI : https://doi.org/10.26634/jes.9.2.18072

Abstract

The crop yield is mainly based on the amount of nutrient present in the soil. The objective of this research is to develop Internet of Thing (IoT) based smart irrigation system that will monitor and balance soil nutrient with adequate and efficient water utilization according to the climate and need for the specific crop system. The benefit of this system would reduce human intervention in the agricultural field and smartly manage farming by monitoring some of the parameters like pH, fertilizers and micronutrient of the soil. A microcontroller like the Arduino Uno R3 series and a set of soil parameter sensors were used with a programmed device. Such a program can be handled by any phone working on Android platform with a good user interface and proper notification regarding soil related issues. This application will be helpful for landlords, farmers and farm workers as they do not need technical knowledge in maintaining a farmland.

Keywords

Internet of Everything (IoE), Internet of Thing (IoT), Aeroponics, Microcontroller.

How to Cite this Article?

Mate, S. (2021). Internet of Things (IoT) based Irrigation and Soil Nutrient Management System. i-manager's Journal on Embedded Systems, 9(2), 22-28. https://doi.org/10.26634/jes.9.2.18072

References

[1]. Abdel-Kader, H., Abd-El Salam, M., & Mohamed, M. (2018). Hybrid machine learning model for rainfall forecasting. Journal of Intelligent Systems and Internet of Things, 1(1), 5-12. https://doi.org/10.5281/zenodo.3376685
[2]. Charumathi, S., Kaviya, R. M., Kumariyarasi, J., Manisha, R., & Dhivya, P. (2017). Optimization and control of hydroponics agriculture using IOT. Asian Journal of Appied Science and Technology, 1(2), 96-98.
[3]. Hamrita, T. K., Deal, K., Gant, S., & Selsor, H. (2021). Precision agriculture: An overview of the field and women's contributions to it. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 1-34). Women in Engineering and Science. Cham: Springer. (pp. 1-34). https://doi.org/10.10 07/978-3-030-49244-1_1
[4]. Jain, S., Alam, M. A., & Bokhari, M. U. (2021). Future hydroponic systems using IOT for sustainable agriculture. In International Conference on ICT for Digital, Smart, and Sustainable Development (ICIDSSD) 2020. https://doi.org/ 10.4108/eai.27-2-2020.2303233
[5]. Kamelia, L., Nugraha, Y. S., Effendi, M. R., & Priatna, T. (2019, July). The IoT-based monitoring systems for humidity and soil acidity using wireless communication. In 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT) (pp. 1-4). IEEE. https://doi.org/10.1109/ICWT47785. 2019.8978243
[6]. KaurN.,& Deep G. (2021). IoT-based brinjal crop monitoring system. In Smart Sensors for Industrial Internet of Things (Technology, Communications, and Computing). Cham: Springer. https://doi.org/10.1007/978-3-030-526 24-5_15
[7]. Khoa, T. A., Man, M. M., Nguyen, T. Y., Nguyen, V., & Nam, N. H. (2019). Smart agriculture using IoT multi-sensors: A novel watering management system. Journal of Sensor and Actuator Networks, 8(3). https://doi.org/10.3390/jsan 8030045
[8]. Luster, J. (n.d.). Measurement tools: Soil systems. In Environmental Systems (Vol I): Encyclopedia of Life Support Systems (EOLSS).
[9]. Madaswamy, M. (2020). Digitalization of agriculture in India: Application of IoT, robotics and informatics to establish farm extension 4.0. Journal of Informatics and Innovative Technologies (JIIT), 4(2), 23-32.
[10]. Manjula, E., & Djodiltachoumy, S. (2017). Data mining technique to analyze soil nutrients based on hybrid classification. International Journal of Advanced Research in Computer Science, 8(8), 505-510. https://doi.org/10.26 483/ijarcs.v8i8.4794
[11]. Report and Data. (2020, January 16). Agricultural Sensors Market Analysis, By Type (Location Sensors, Humidity Sensors, Electrochemical Sensors, Airflow Sensors, Optical Sensors, Pressure Sensors, Water Sensors, Soil Sensors, Livestock Sensors), By Application Forecasts To 2026. Marketysers Global Consulting LLP. Retrieved from https://www.reportsanddata.com/report-detail/agricultur al-sensors-market
[12]. Ullah, R., Abbas, A. W., Ullah, M., Khan, R. U., Khan, I. U., Aslam, N., & Aljameel, S. S. (2021). EEWMP: An IoT-based energy-efficient water management platform for smart irrigation. Scientific Programming. https://doi.org/10.115 5/2021/5536884
[13]. Wasson, T., Choudhury, T., Sharma, S., & Kumar, P. (2017, August). Integration of RFID and sensor in agriculture using IoT. In 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) (pp. 217- 222). IEEE. https://doi.org/10.1109/smarttechon.2017.83 58372
[14]. Whalen, J. K. (2021). Perspectives to increase the precision of soil fertility management on farms. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 55-68). Women in Engineering and Science. Cham: Springer. https://doi. org/10.1007/978-3-030-49244-1
[15]. Zhang, M., Wang, N., & Chen, L. (2021). Sensing technologies and automation for precision agriculture. In Hamrita T. (Ed.) Women in Precision Agriculture, (pp. 35-54). Women in Engineering and Science. Cham: Springer. https://doi.org/10.1007/978-3-030-49244-1
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.