Survey on Data Mining for Increasing Agriculture Productivity
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Crop management of certain agriculture region is depends on the climatic conditions of that region because climate can make huge impact on crop productivity. Real time weather data can helps to attain the good crop management. Data mining is the process of discovering of new pattern from large data sets, this technology which is employed in inferring useful knowledge that can be put to use from a vast amount of data, various data mining techniques such as classification, prediction, clustering and outlier analysis can be used for the purpose. Real time weather data can helps to attain good crop management. Weather is one of the meteorological data that is rich by important knowledge. In this paper we include the hybrid model to improve the agriculture productivity by using data mining techniques.
Authors and Affiliations
Sachin Chawhan, Pooja Ghodichor , Khushbu Paunikar
Keywords
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- EP ID EP23247
- DOI http://doi.org/10.22214/ijraset.2017.3050
- Views 240
- Downloads 8
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