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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 1312-1319
DOI: https://doi.org/10.20546/ijcmas.2020.906.163


Knowledge-Based System for Tobacco Weed Management
H. Ravisankar1*, S. Kasturi Krishna2, D. Damodar Reddy3, V. S . G. R. Naidu4 and B. Hema5
Central Tobacco Research Institute, Rajahmundry, Andhra Pradesh – 533 105, India
*Corresponding author
Abstract:

Tobacco is an important commercial crop which has no exception for weed menace and associated losses. Weeds affect the crop directly by reducing leaf yields through competition for basic resources and indirectly as foreign matter lowering the cured product quality. The primary step in developing an efficient weed management system is identification of the weed which requires practical expertise. As an expert is not always accessible for identification, a knowledge-based system for tobacco weed management was developed based on data available on various parameters of weeds using Personnel Home Page (PhP) and HTML languages. This user friendly program consists of 24 modules while the database has various parameters of the weed viz., scientific name, family, description, control and photograph. This software facilitates easy access to the user by searching with a photo / scientific name/ family in both weed identifying and its management practices in a single go from any location.


Keywords: Tobacco, Weed, Knowledge, System, Management
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How to cite this article:

Ravisankar. H., S. Kasturi Krishna, D. Damodar Reddy, V. S. G. R. Naidu and Hema. B. 2020. Knowledge-Based System for Tobacco Weed Management.Int.J.Curr.Microbiol.App.Sci. 9(6): 1312-1319. doi: https://doi.org/10.20546/ijcmas.2020.906.163