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World Wide Web is enormous compilation of multi- variant data. For
better knowledge management it is important to retrieve accurate
and complete data. The hidden Web, also known as the invisible Web
or deep Web, has given rise to a new issue of Web mining research.
Most documents in the hidden Web, including pages hidden behind
search forms, specialized databases, and dynamically generated Web
pages, are not accessible by general Web mining application. In
this paper a system is designed that has a robust ability to access
these hidden web pages using web structure mining techniques for
better knowledge management. As dynamic content generation is used
in modern web pages and user forms are used to get information from
a particular user and stored in a database. The link structure
lying in these forms can not be accessed during conventional mining
procedures. The accuracy ratio of web page hierarchical structures
can be improved by including these hidden web pages in the process
of Web structure mining. The designed system is adequately strong
to process the dynamic Web pages along with static ones.
Boron (B) sufficiency range for plant growth is narrow and its
management is problematic especially under brackish water
irrigation in arid and semiarid regions.Keeping the above scenario,
present study was conducted to establish the external and internal
B requirements of mungbean under different SAR of irrigation
waters. The study will help for determination of site specific
requirements of B under differnt types of soils.
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