An IoT Application for Effective Management of Agriculture Resources

Authors

  • Vaibhav R. Chavan  Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT1228217

Keywords:

Internet of Things (IOT), Raspberry Pi, microcontroller, Sensors, Soil Moisture, Smart Agriculture

Abstract

Several issues related to traditional agriculture have hindered the growth of nation. Thus, solution to this mode of agriculture is adoption of smart agriculture. Therefore, the aim of this research is to make the agriculture smart by adopting innovative and advanced technologies such as Internet of things (IoT) and Wireless Sensor Network (WSN) enabled automation in agriculture. In recent times, IoT and WSN based technologies can be applied in several research fields. IoT enables various applications employed in crop growth monitoring and selection of irrigation decision support system. The technology like Raspberry Pi used recently in irrigation system of agriculture for improvement of crop productivity. This research paper focuses on various parameters of IoT related to agriculture such as soil moisture sensor, floodwater detector, temperature tracking sensor, humidity and light intensity sensor, etc. The sensors are associated to web server through raspberry pi controller. It detects the each activity of field and transfer the information to web server. The result outcomes assist the former to know about the actual scenario of field in real time through buzzer and can smartly do watering and showering fertilizer to the field in very efficient manner without trying too hard and quality of the crops will be get improved.

References

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Published

2022-04-30

Issue

Section

Research Articles

How to Cite

[1]
Vaibhav R. Chavan, " An IoT Application for Effective Management of Agriculture Resources" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.121-132, March-April-2022. Available at doi : https://doi.org/10.32628/CSEIT1228217