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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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DESIGN AND FABRICATION OF WEED REMOVING ROBOT USING ARTIFICAL INTELLIGENCE AND MACHINE LEARNING
Authors
Prof. S.K.Kolase,Mr. Rohit Khatal,Mr. Vinit Kundur,Mr. Kishor More,Mr. Nikhil Suryawansh
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Keywords
DESIGN AND FABRICATION OF WEED REMOVING ROBOT USING ARTIFICAL INTELLIGENCE AND MACHINE LEARNING
Abstract
Weeding is a labor -intensive task that can be time-consuming and expensive. Deep learning- based weeding robots offer a potential solution to this problem by automating the weed detection and removal process. These robots can be equipped with cameras and sensors to identify weeds and then use deep learning algorithms to determine the best way to remove them. In this project, we present the design and fabrication of a deep learning-based weeding robot. The robot is designed to be used in small-scale fields and is equipped with a single camera and a weeding mechanism that uses a rotating blade to cut weeds. The deep learning system is trained on a dataset of images of weeds and crops. Once the robot is deployed, it can identify weeds in real time and provide instructions to the weeding mechanism on how to remove them. The robot will be tested in a small-scale field with a variety of weeds. The results can show that the robot will be able to identify and remove weeds with a high degree of accuracy. The robot will also weed the field more quickly and efficiently than traditional weeding methods. The deep learning-based weeding robot will have the potential to revolutionize the way that weeds are removed. The robot will be able to help reduce labor costs, increase efficiency, and reduce the use of herbicides.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A5480
Paper ID - 262274
Author type - Indian Author
Page Number(s) - m962-m970
Pubished in - Volume 12 | Issue 5 | May 2024
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No Of Downloads - 18
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Prof. S.K.Kolase,Mr. Rohit Khatal,Mr. Vinit Kundur,Mr. Kishor More,Mr. Nikhil Suryawansh, "DESIGN AND FABRICATION OF WEED REMOVING ROBOT USING ARTIFICAL INTELLIGENCE AND MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.m962-m970, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A5480.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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