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IJNRD
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
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Impact Factor : 8.76

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Paper Title: Feasibility of Weed control through Drone Automation using Deep Learning Techniques
Authors Name: V.Ruthwika , Dr.S.Uday Bhasker , B. Usha Sri
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IJNRD_196103
Published Paper Id: IJNRD2305532
Published In: Volume 8 Issue 5, May-2023
DOI: http://doi.one/10.1729/Journal.34561
Abstract: This work presents one of the applications of Industry 4.0 in Weed Detection using Deep Learning, a branch of Artificial Intelligence that deals with Image Processing to distinguish weeds from plants and RFID Controller to pinpoint laser to the spot. The objective of this paper is to control weed growth through the use of WELASER, a project that aids in weed removal. The specified region of interest is controlled by a drone carriable laser that behaves as an Automated Guided Vehicle (AGV), an essential component in Industry 4.0 that is developed using technological advancements. These AGV’s work without human intervention and hence decrease manual labor. Camera sensors are utilized to capture image using Deep Learning Techniques. With the above concepts, the problem of Weed growth is tackled to a greater extent in affordable conditions.
Keywords: Deep Learning; RFID Controller; AGV; We-Laser; Drones.
Cite Article: "Feasibility of Weed control through Drone Automation using Deep Learning Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f146-f153, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305532.pdf
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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
Publication Details: Published Paper ID:IJNRD2305532
Registration ID: 196103
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34561
Page No: f146-f153
Country: Khammam, Telangana, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305532
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305532
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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