Wild Animal Detection and Alert Generation system through AI
Year: 2025
Type: article
Abstract: Crops are susceptible to animal attacks. Preserving farmland has become an intricate problem in recenttimes. Consequently, be on the lookout for any creatures that could do more damage to the harvest. Thewildlife that calls the protected area home are Over time, the grain crop has been subjected to persistentattacks, making its protection a top priority. The problem has been addressed in a way that renders themethods already in use inefficient; in this study, we suggest a methodology to safeguard farms from wildanimals without damaging them, thereby building a system that takes into account the demands of thosecreatures (deer, nilgai, wild boar, etc.). In order to find the animal and get it to run away from the farm, itmakes a noise that gets its blood pumping. Then, it automatically starts tossing stones at the animal toscare it away. The proposed monitoring program aims to alert farmers in advance of any possible cropdamage caused by wild animals. In order to address this issue, the suggested model utilizes the MOBILENET model to create an IoT and AI-based system that can detect the early arrival of wild animals. Whenwildlife is spotted, the relevant authorities and nearby residents are notified through Whatsapp andloudspeakers.
Author: Miss.Vijayshri Vaidya, Nirmal Shraddha, Kolte Sakshi, Garad Gayatri, Wandhekar Shraddha
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDGs: Zero hunger, Life on land
Open Access status: green
OpenAlex ID: W6930628716
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