IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: WEED DETECTION USING RASPBERRY PI BASED ON IMAGE PROCESSING
Authors Name: CH.SATHWIKA
Unique Id: IJSDR2304041
Published In: Volume 8 Issue 4, April-2023
Abstract: Agriculture, although known as the backbone of the Indian economy, is facing crisis in terms of production. One of the major issues in the agriculture sector is the growth of weeds among the crops. The weeds are removed by three ways, that is by tilling method, by manual labour and finally by weedicides. Weeds are removed by above three methods which consumes more time and amount. Weed is detected and removed by using raspberry pi based on image processing. The weed image is captured using web camera which is interface with raspberry pi, the captured image signal is stored and that signal is given to raspberry pi and finally image processing algorithm takes place. The identified weed is captured and it removed by spraying chemical.
Keywords: Agriculture, Crop, Image Processing, Raspberry Pi, Weed Detection, Weed Removal
Cite Article: "WEED DETECTION USING RASPBERRY PI BASED ON IMAGE PROCESSING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.215 - 219, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304041.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2304041
Registration ID:205050
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 215 - 219
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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