Paper Title
Animal Detection In Farms Using OpenCV
Article Identifiers
Authors
Keywords
OpenCV, Machine Learning, Artificial Intelligence, Single Shot Detector(SSD)
Abstract
ABSTRACT TITLE: ANIMAL DETECTION IN FARMS USING OPENCV Agriculture is the most important sector of Indian Economy but the issue of damage to crops by wild animals has turned into an important social issue in current occasions. So far, many of the farmers reply on guards to guard their crops which increases the overhead costs. But, due to current climate conditions, crop failure rate has increased dramatically. Debt in agricultural sector has increased tremendously. In these situations, a farmer cannot expect further destruction of crops and neither can afford increase costs in farming. Thus, there is need for a system to detect any intrusion which can help the farmers to drive away these animals as soon as they learn about their intrusion. Computer vision is applicable to many fields like medical field, robotics, remote sensing, machine vision, content-based image retrieval. Computer vision also applied in the security field to perform automatic surveillance and access control and attendance management. In agriculture fields near to forest areas have a severe threat from wild animals, which attacks regularly on farms. These attacks causing huge damage to agricultural crops subsequently causes significant financial losses to farmers. Some measures are taken by the farmers by installing electrical fences to the farms, big flood lights in the farm. Some even resort to hiring guards. Installing an electrical fence is much costlier to equip huge farms and kills so many animals, which is even illegal in certain places and affects the biodiversity. Other existing techniques also are not effective due to several reasons, cost being one of them. In this project, we proposed a new and cost effective solution for agriculture security from animals. It is a proactive solution which gives alerts to the farmers when animals come near to the farms. It also causes certain siren to be played whenever any animals are detected and is directed towards the animal in an attempt to scare them away. Here, we are implementing a solution that recognizes animals when it is captured on camera.
Downloads
How To Cite (APA)
S. Raji, M.Mubashira Nazneen, T.Sai Poojitha, & Y.Lavanya (April-2024). Animal Detection In Farms Using OpenCV. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b462-b466. https://ijnrd.org/papers/IJNRD2404160.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : b462-b466
Other Publication Details
Paper Reg. ID: IJNRD_217317
Published Paper Id: IJNRD2404160
Downloads: 000122036
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: Anantapur, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404160.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404160
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | 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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.
For more details, refer to the official notice: UGC Public Notice
Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: November 2025
Current Issue: Volume 10 | Issue 11 | November 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 30-Nov-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
Approval, Licenses and Indexing: More Details
:
