Long-Range and Low-Power Automated Soil Irrigation System Using Internet of Things

Author:

Gnanaprakasam C.1,Vankara Jayavani2ORCID,Sastry Anitha S.3ORCID,Prajval V.4ORCID,Gireesh N.5ORCID,Boopathi Sampath6ORCID

Affiliation:

1. Panimalar Engineering College, India

2. GITAM University (Deemed), India

3. Global Academy of Technology, India

4. Sampoorna Institute of Technology and Research, India

5. Mohan Babu University, India

6. Muthayammal Engineering College, India

Abstract

In this chapter, the Internet of Things (IoT) system is required for automating irrigation systems and monitoring real-time data from sensors. IoT systems may easily and affordably integrate the long-range wide-area network (LoRaWAN). Four irrigation strategies, including ET (ETc), MP60 (watermark 200SS-5 soil matric potential sensors, (-70 kPa), MP50 (at -50 kPa)), and GesCoN (a decision support system), were developed and put to the test. According to the findings, treatment MP70 had a marketable yield that was greater by 16 percent and 24 percent than that of ET and MP50. Due to improper installation and positioning of the soil moisture sensors, MP40 received relatively little water during irrigation. The GesCoN and ET results were not significantly different from the MP70 results. It has been demonstrated that using sensors and precision irrigation can help farmers conserve water when growing crops. The LoRaWAN-based IoT system nevertheless performed admirably in terms of power usage, connectivity, sensor reading, and valve management.

Publisher

IGI Global

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