UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2006172


Registration ID:
234238

Page Number

1203-1207

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Title

AGRIGRAS: Precision Farming for Unwanted plant Detection Control

Abstract

This analysis has been supported by the employment of preciseness agriculture tools for the management of weeds in crops. It has focused on the creation of an image processing formula to sight the existence of weeds in an exceedingly specific website of crops. The most objective has been to get formula so a weed detection system will be developed through binary classifications. The initial step of the image process is the detection of inexperienced plants to eliminate all the soil within the image, reducing data that are not necessary. Then, it's targeted on the vegetation by segmentation and eliminating unwanted data through medium and morphological filters. Finally, labeling objects have been created in the image so weed detection may be done employing a threshold based on the world of detection. This formula establishes correct observance of weeds and may be enforced in automated systems for the obliteration of weeds in crops, either through the employment of machine-controlled sprayers for a selected website or a woodcutting mechanism. additionally, it will increase the performance of operational processes in crop management, reducing the time spent sorting out weeds throughout a plot of land and focusing weed removal tasks on specific sites for effective management.

Key Words

Image Processing; Artificial Intelligence; Neural Networks, weed detection, crop monitoring, agriculture.

Cite This Article

"AGRIGRAS: Precision Farming for Unwanted plant Detection Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1203-1207, June-2020, Available :http://www.jetir.org/papers/JETIR2006172.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AGRIGRAS: Precision Farming for Unwanted plant Detection Control", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1203-1207, June-2020, Available at : http://www.jetir.org/papers/JETIR2006172.pdf

Publication Details

Published Paper ID: JETIR2006172
Registration ID: 234238
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1203-1207
Country: pune, Maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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