• Pranav Kolsure
• Kanchan Pujari
• Vaishnavi Mitkari
• Amardeep Kadavkar
• Durga Nikam

Hazards from landslides are everywhere. Landslides are more likely to occur on steeply sloped hillsides. For several case studies throughout the globe, researchers have performed landslide prediction, detection, and monitoring. The major goal of researching landslide detection is to stop natural disasters by seeing their early movement. This will lessen or prevent the landslide's fatalities among humans. Finding a method for the sensing components to react promptly to data changes and transmit the perceived data to the data analysis centre is another goal. The Wireless Sensor Network (WSN) and the Internet of Things serve as the foundation for the Implemented system (IoT). This technology is inexpensive, reliable, and delay-effective. The suggested system makes use of accelerometer and soil moisture sensors. While the accelerometer measures ground movement, moisture sensor data reveal the amount of moisture in the soil. The measurements that exceed the established criteria warn nearby residents to take precautions.

Landslide detection, WSN, IoT, inexpensive.

"IOT-Based Landslide Detection and Indication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.413-419, May-2023, Available :http://www.jetir.org/papers/JETIRFX06072.pdf

"IOT-Based Landslide Detection and Indication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp413-419, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06072.pdf