Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Varghese, Nisha; Shereef, Shafi Title A name given to the resource IoT-Enabled Smart Security Surveillance System for Farmland and Livestock Monitoring Using Computer Vision Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CONECCT65861.2025.11306883" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONECCT65861.2025.11306883</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032663995?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032663995?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Varghese N., Christ University, Department of Computer Science, Bangalore, India; Shereef S., Jain University, Department of Cs &amp; It, Bangalore, India Description An account of the resource Agriculture is the main source of income of every country and agriculture plays a critical role in sustaining human civilization by providing food, fuel, and other essential resources. Even though, the conflict between farmers and wildlife remains a significant challenge even today. It is essential to arrange the protection of fields and farms by deterring wild animals and predators without making harm to the wildlife. This study proposes a framework that can detect and classify animals or intruders or any natural calamities. The novelty of the study is deterring the wild animals using innocuous devices and chemical components instead of the harmful electric fences and other methods. Based on the classification it will take preventive measures and will send an alert to the Farmer. The preventive measures are ensuring that will not make any harm to the wild animals. The framework incorporated four major components PIR (Passive Infrared) Sensor, Raspberry Pi Camera, Scarecrow and GSM (Global System for Mobile Communications) Module. PIR Sensor detects an object, Raspberry Pi Camera captures the images and images classify the specific object, later based on the type of the animal the scare tactics will be applied by the scarecrow and if any unusual incident is happening like the presence of an intruder, fire or tornado the alert will send to the Farmer with the help of a GSM Module. 2025 IEEE. Subject The topic of the resource Computer Vision; GSM; IoT Scarecrow; Livestock Monitoring; PIR Sensor Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150236-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online