scholarly journals Landslide Detection

Author(s):  
Mr. D. Suresh ◽  
G. Geffania Geraldine ◽  
S. Shalini

The landslide hazard causes severe loss of life, injury, damage to property, destruction of communication networks and loss of precious soil and land. Landslides are triggered by earthquakes or sudden rock failures. They can also result when the base of a slope is over steepened by excavation or river erosion. Unfortunately, climate change is strengthening the destructive power of natural disasters. In this, Internet-of-Things (IoT)-based disaster detection and response systems have been proposed to cope with disasters and emergencies by improving the disaster detection. Accordingly, IoT devices are used to collect data and help to identify landslide. Here we design a personalized system with a number of sensors to detect landslide situations. Major difference between the proposed system and existing systems is the decentralized and personalized alerting system. The proposed system consists of a Transmitter and a receiver based on LoRa technology. Transmitter is fixed on various location covering the overall mountain region. A single transmitter covers a distance of 10kilometer. The transmitter consists of modules like LoRa transmitter, vibration sensor, piezoelectric sensor, soil moisture sensor and Arduino uno which is the controller of the entire transmitter. Initially the sensor monitors the entire landscape whether there is a landslide occurs or not. If the landslide occurs the GPS coordinates will be transmitted through LoRa. Technically there will be only one receiver and multiple transmitters fixed in different location covering the entire mountain region. Once the GPS coordinates is received by the receiver. The receiver consists of node MCU connected with internet and LoRa receiver is connected with node MCU. Distance between the receiver is displayed in the display and a initial alarm is produced. By using MQTT protocol GPS coordinates is published to the MQTT server or broker. Android application connected to the server will receive the warning.

2021 ◽  
Author(s):  
Saranya G ◽  
Manikandan V ◽  
Balaji J ◽  
Kandesh M ◽  
Karthikeyan A

The power is generated by human motion while walking on the piezoelectric sensor, which is pressed and produces kinetic energy, which is then converted into electrical energy. The generated energy is stored in the battery. The energy in the battery is used to turn on the street lights using the LDR Sensor when the sun’s beam becomes dull, and to pass water to the grass using the motor with the help of the soil moisture Sensor when the soil becomes moisture. And also used for charge the mobile phones using the charging port which is installed in the park and to be used for other purposes in the park. All the data is get tracked and stored in the IOT for continuously monitoring and for future purpose.


2019 ◽  
Vol 5 (1) ◽  
pp. 97-106
Author(s):  
Rudi Budi Agung ◽  
Muhammad Nur ◽  
Didi Sukayadi

The Indonesian country which is famous for its tropical climate has now experienced a shift in two seasons (dry season and rainy season). This has an impact on cropping and harvesting systems among farmers. In large scale this is very influential considering that farmers in Indonesia are stilldependent on rainfall which results in soil moisture. Some types of plants that are very dependent on soil moisture will greatly require rainfall or water for growth and development. Through this research, researchers tried to make a prototype application for watering plants using ATMEGA328 microcontroller based soil moisture sensor. Development of application systems using the prototype method as a simple method which is the first step and can be developed again for large scale. The working principle of this prototype is simply that when soil moisture reaches a certainthreshold (above 56%) then the system will work by activating the watering system, if it is below 56% the system does not work or in other words soil moisture is considered sufficient for certain plant needs.


2021 ◽  
Vol 733 (1) ◽  
pp. 012025
Author(s):  
Murti Marinah ◽  
Nadhifa Aqilla Husna ◽  
Hafiz Salam ◽  
Agus Muhamad Hatta

2014 ◽  
Vol 38 (3) ◽  
pp. 744-754 ◽  
Author(s):  
Edison Aparecido Mome Filho ◽  
Alvaro Pires da Silva ◽  
Getulio Coutinho Figueiredo ◽  
Fernando Henrique Setti Gimenes ◽  
André Cesar Vitti

Modern agriculture techniques have a great impact on crops and soil quality, especially by the increased machinery traffic and weight. Several devices have been developed for determining soil properties in the field, aimed at managing compacted areas. Penetrometry is a widely used technique; however, there are several types of penetrometers, which have different action modes that can affect the soil resistance measurement. The objective of this study was to compare the functionality of two penetrometry methods (manual and automated mode) in the field identification of compacted, highly mechanized sugarcane areas, considering the influence of soil water volumetric content (θ) on soil penetration resistance (PR). Three sugarcane fields on a Rhodic Eutrudrox were chosen, under a sequence of harvest systems: one manual harvest (1ManH), one mechanized harvest (1MH) and three mechanized harvests (3MH). The different degrees of mechanization were associated to cumulative compaction processes. An electronic penetrometer was used on PR measurements, so that the rod was introduced into the soil by hand (Manual) and by an electromechanical motor (Auto). The θ was measured in the field with a soil moisture sensor. Results showed an effect of θ on PR measurements and that regression models must be used to correct data before comparing harvesting systems. The rod introduction modes resulted in different mean PR values, where the "Manual" overestimated PR compared to the "Auto" mode at low θ.


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