Decision This leads, thousands of digital and

Decision Support System is computerized
system, which includes models and databases used in decision making. They are
tools that help everyone who makes decision and choosing the best alternative
solution that is economic, social or environmental point of view 1.

 

Economically reasonable price for the
crop and higher crop yield is the aim of farmers. To achieve this aim,
up-to-date information of present demand and potential supply of agricultural
products is essential. Based on present state of agricultural products demand
and supply information farmers can choose the appropriate crop to be grown.
This leads to better price for their crop. Similarly farming based on expert’s
knowledge and latest research leads to higher drop yield.

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Every year different government
departments are assigned the work to monitor dynamic agricultural situations in
all around the country. This leads, thousands of digital and non digital data
files are generated. These records include hundreds of pest-scouting, yield
surveys, and other such activities. The data collected, is not organized, it is
difficult to integrate and does not provide a complete picture. Thus the lack
of data integration and organization leads to an under-utilization of precious
and expensive historical data, and inevitably results in a limited ability to
provide decision support.

ment, pesticide, soil preparation, seed selection and weed
management. Most of the farmers are isolated with this expert’s and scientist’s
knowledge due to lack their easy availability. Android app, web and sms based dss will make easy availability of agricultural knowledge.
After considering success of DSS in various sectors numerous DSS were developed
in agriculture. Agricultural DSS are helps farmers to take right decision at
right time to get high yield and economically reasonable price to their crop.
This paper present need and reviews of various DSS in agriculture. Finally
paper concluded with a necessity of a DSS to provide up-to-date information of
present demand and potential supply of agricultural products in order to choose
the appropriate crop to be grown and its planning.