Weed Detection Using Image Processing in Organic Farming through Aurdino
Lakshmi.K1, S.Lakshmipriya2

1Lakshmi K, Assistant Professor, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
2Lakshmipriya, PG Student, Department of Electronic and Instrumentation, Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 103-106 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2618018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Programmed weed control is dependably a critical issue in natural cultivating. A basic advance in taking care of or destroying the weed pervasions among the vegetable harvests is the capacity to precisely and dependably separate weeds from crops. As of late, high spatial determination hyper unearthly imaging information from ground-based stages have demonstrated specific guarantee in this application. Weeds are expelled in a semi-organized developed field by utilizing picture preparing. The principal goal is to identify and remove weeds available with the developed plant and gather it independently. A camera is fixed for taking the pictures of a portion of the crops in the field. A direction of the weed is identified by picture handling utilizing MATLAB. The directions of the weed acquired from the camera are imparted through PC to the robot at last to cut the weeds.
Keyword: Aurdino, Image Information, MATLAB, Camera, Organic Farming.
Scope of the Article: Image Processing and Pattern Recognition