WILD ANIMAL INTRUSION DETECTION IN FIELDS USING MACHINE LEARNING
P.VIKRAM
, B.SHIVANI , D.ARCHANA
raider, incursion, hazard.
Wild animal incursion has long been a source of contention for residential people. Among the creatures that pose a hazard to home intrusion are deer, dogs, cattle, and monkeys. These animals may enter anyone’s house and cause damage to the property and people’s home gardens. This may result in a considerable reduction in security and the need for additional financial protection to deal with the consequences of the damage. This issue must be addressed promptly, and an effective remedy must be developed and implemented. As a result, our initiative seeks to remedy this issue. To address these issues, an animal incursion alarm system may be employed using wireless sensors that automatically send an alert message with an image to the landowner and municipal authority. This enables early warning notice to take applicable action grounded on the type of raider.
"WILD ANIMAL INTRUSION DETECTION IN FIELDS USING MACHINE LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d597-d603, March-2023, Available :https://ijnrd.org/papers/IJNRD2303381.pdf
Volume 8
Issue 3,
March-2023
Pages : d597-d603
Paper Reg. ID: IJNRD_189582
Published Paper Id: IJNRD2303381
Downloads: 000118879
Research Area: Information Technology
Country: RANGA REDDY, TELANGANA, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
