Abstract:
As the use of sensor network, GPS, and telecommunication technology increased,
the availability of spatio-temporal data is also increasing exponentially. The use of
these technologies also increased in the eld of agriculture, which motivates to do
data mining analysis of this data. For this work, we have selected farmers query
data. In this work, we have experimented various data mining techniques to generate
valuable insights from the data which can help in making policies. First, we have
clustered the states of India. In the subsequent experiments we have successfully
clustered the blocks and districts of India based on feature vector generated by
combination of Crop and Query type. In the starting we have clustered based on
month-wise data. But as in Agriculture similarity we measure tine in season, so
in the next experiment we have used the season wise data for two season of India
i.e. Kharif & Rabi. And in the end we found the co-occurring problems for various
states in various months
