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Title: :  IOT BASED FOREST TRACKER USING LORA MODULE
PaperId: :  19649
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19649
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nikita Virendrakumar ChakrawartiShree L R Tiwari college of Engineering
Jaykumar PalShree L R Tiwari College of Engineering
Fahad ShaikhShree L R Tiwari College of Engineering
Fahim ShaikhShree L R Tiwari College of Engineering
Mrs. Aparna MajareShree L R Tiwari college of Engineering

Abstract

Electronics and Telecommunication Engineering
IOT, Sensors, LORA Module, Fire
Currently, Millions of hectares of timber worldwide are affected annually by fires. Due to which it beget loss in mortal lives, beast lives, coffers and causes air pollution. The problem is indeed lesser in timbers that aren't guarded and don't have communication systems available. therefore, in recent times, have been proposed colorful systems that use bias grounded on Internet of Things( IoT) for real- time timber fire discovery. The technology of the Internet of Things( IoT) has flourished in colorful diligence and request around the world. The agrarian is one of the areas to profit from IoT technologies. LoRa is one of the most habituated network radios in the IoT network technology structure. LoRa is frequently used in agrarian IoT not only for its long- range but also due to veritably low power operation and significant cost advantage. It's able of snappily detecting timber fires on long wide distance. The utmost of the system are using LoRa( Long Range) technology grounded on LoRaWAN( Long Range Wide Area Network). The Internet of Things (IoT) has emerged as a powerful technology that can be utilized for various applications, including environmental monitoring. One critical application of IoT is forest tracking, where real-time monitoring of forest parameters can help prevent forest fires, detect illegal logging, and monitor wildlife activities. In this abstract, we propose an IoT-based forest tracker system that utilizes Long Range (LoRa) modules for communication. The proposed system consists of a network of sensor nodes deployed in a forest area, each equipped with various sensors to collect data on parameters such as temperature, humidity, air quality, and presence of smoke. These sensor nodes are connected to a central gateway, which serves as a communication hub and is equipped with a LoRa module for long-range communication. The gateway is connected to the internet, allowing for remote access and monitoring of the forest parameters. The collected data from the sensor nodes is transmitted to the gateway using the LoRa communication protocol, which provides long-range, low-power, and secure communication suitable for forest environments. The gateway receives the data and sends it to a cloud-based server for storage and analysis. Advanced data analytics techniques can be applied to the collected data to detect anomalies, such as sudden changes in temperature or presence of smoke, which may indicate a potential forest fire or illegal logging activity.

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IJARIIE Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. "IOT BASED FOREST TRACKER USING LORA MODULE" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1504-1509
MLA Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. "IOT BASED FOREST TRACKER USING LORA MODULE." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1504-1509.
APA Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, & Mrs. Aparna Majare. (2023). IOT BASED FOREST TRACKER USING LORA MODULE. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1504-1509.
Chicago Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. "IOT BASED FOREST TRACKER USING LORA MODULE." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1504-1509.
Oxford Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. 'IOT BASED FOREST TRACKER USING LORA MODULE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1504-1509. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/IOT_BASED_FOREST_TRACKER_USING_LORA_MODULE_ijariie19649.pdf (Accessed : ).
Harvard Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. (2023) 'IOT BASED FOREST TRACKER USING LORA MODULE', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1504-1509IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/IOT_BASED_FOREST_TRACKER_USING_LORA_MODULE_ijariie19649.pdf (Accessed : )
IEEE Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare, "IOT BASED FOREST TRACKER USING LORA MODULE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1504-1509, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/IOT_BASED_FOREST_TRACKER_USING_LORA_MODULE_ijariie19649.pdf [Accessed : ].
Turabian Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. "IOT BASED FOREST TRACKER USING LORA MODULE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Nikita Virendrakumar Chakrawarti, Jaykumar Pal, Fahad Shaikh, Fahim Shaikh, and Mrs. Aparna Majare. IOT BASED FOREST TRACKER USING LORA MODULE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 1504-1509. Available from: https://ijariie.com/AdminUploadPdf/IOT_BASED_FOREST_TRACKER_USING_LORA_MODULE_ijariie19649.pdf
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