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  Published Paper Details:

  Paper Title

LEGS ROBOT FOR AUTONOMOUS REMOVAL OF UNWANTED CROPS IN AGRICULTURE USING RASPBERRY PI

  Authors

  P Madhavan,  V Aishwarya,  B Preethi,  S Deviga

  Keywords

Agriculture, Manpower, Robotic, Raspberry PI.

  Abstract


Automated processes in the field of agriculture have become more and more reliable and efficient. There are many difficulties faced when manpower is used. It is time consuming and becomes tedious. Robotic systems integrated with various control methods can be very useful in doing repetitive work, such as weed removing process where the same movement is continuous. In this paper, we have developed a Trainable automatic robot which helps in removing unwanted weed on agricultural fields using Raspberry PI for controlling purpose. The Robot removes the weeds by using the Image Processing Technology. It compares the image of the crop with reference image using the Raspberry PI. The rover which is a four-wheeled vehicle used for movement is replaced by the leg arms of the robot. So, the robot now can go through any congested field crops. It also reduces the human labour and the time consumed by the farmers. Hence, a robot is designed which removes the unwanted crops by Image Processing Technology is designed. This robot doesn�t affect the human health as some weeding processes which aredone by spraying herbicides.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007097

  Paper ID - 196603

  Page Number(s) - 1439-1444

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  P Madhavan,  V Aishwarya,  B Preethi,  S Deviga,   "LEGS ROBOT FOR AUTONOMOUS REMOVAL OF UNWANTED CROPS IN AGRICULTURE USING RASPBERRY PI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.1439-1444, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007097.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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