Paper Title
AUTONOMOUS DRONE FOR SPECIES IDENTIFICATION
Article Identifiers
Authors
Dr.P.S.IMMACULATE , Dr. SUGANTHI SU , Mr. HEMANTH KUMAR C S , Mr. ADITYA GURJALE S
Keywords
Autonomous Drone, Localization, Mapping, Tangent Bug Algorithm
Abstract
People around the globe have a deep desire to discover lands that were never touched by any human before. People would like to come across such vast untouched lands and would like to explore their flora and fauna and would always make a comparison with the existing species and make the environmental mapping. ‘Autonomous Drones’ resolve this problem by telecasting the untouched worlds and exploring their species. Some dense neural networks are being used for localization, mapping the environment, and detecting and recognizing the objects around it. The navigation process is achieved using the tangent bug algorithm. The whole process is created in a network, where each one communicates with the other and shares information. The information is then sent back to a base station where it is analyzed by botanist, zoologist, etc.
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How To Cite (APA)
Dr.P.S.IMMACULATE, Dr. SUGANTHI SU, Mr. HEMANTH KUMAR C S, & Mr. ADITYA GURJALE S (September-2023). AUTONOMOUS DRONE FOR SPECIES IDENTIFICATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b674-b681. https://ijnrd.org/papers/IJNRD2309177.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : b674-b681
Other Publication Details
Paper Reg. ID: IJNRD_205253
Published Paper Id: IJNRD2309177
Downloads: 000121983
Research Area: Science & Technology
Country: CHENNAI, TAMIL NADU, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309177.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309177
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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