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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AUTOMATIC ELEPHANT DETECTION SYSTEM USING MACHINE LEARNING AND IOT TECHNIQUES |
| Authors Name: | Chintada Chandu Sai , Ayush Dewangan , Korada Puneeth Venkata Sai Aakarsh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_200402
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| Published Paper Id: | IJNRD2306612 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Due to population growth in the nearby forest areas, there has been increasing in the conflicts between Humans and Elephants. Animals like elephants travel in forest areas in search of food and other available resources. Sometimes they might not get food so there would be a probability to come to living areas. People cannot identify the animal from where it is coming so there will be loss between Human's lives and animals too. There are also several reasons that are happening like destroying agricultural fields, lands, and to the transportation sector. It will be difficult to the forest officers and people to monitor continuously to the specified wild animals in the nearby areas. It will be a difficult task to us. There had been many methods implemented before to track the animals and warning systems. So, in this paper we mention about the elephant identification in the forest areas in the corridor and delivers the signal to the nearby the forest range officers and people who are living nearby. By generating alarms and sending SMS service to the people. We can stop the animal intrusion method by this way so that it's helpful to the people to track the animals initially. Here we used an image dataset containing elephants in different views and developed an approach to distinguish elephants. Machine learning algorithms like Convolutional network to train, test and classify the animals are used and IoT applications like Arduino, GSM modules are used to delivers the signals and to program the code. |
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| Cite Article: | "AUTOMATIC ELEPHANT DETECTION SYSTEM USING MACHINE LEARNING AND IOT TECHNIQUES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.g92-g109, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306612.pdf |
| Downloads: | 000118760 |
| 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 |
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Published Paper ID:IJNRD2306612 Registration ID: 200402 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: g92-g109 Country: Srikakulam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306612 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306612 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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