National Academy of Agricultural Sciences (NAAS)
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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 |
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.
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