Soil Data Analysis Using Classification Techniques and Soil Attribute Prediction
Agricultural research has been profited by technical advances such as automation, data mining. Today ,data mining is used in a vast areas and many off-the-shelf data mining system products and domain specific data mining
application soft wares are available, but data mining in agricultural soil datasets is a relatively a young research field. The large amounts of data that are nowadays virtually
harvested along with the crops have to be analyzed and should be used to their full extent.
This research aims at analysis of soil dataset using data mining techniques. It focuses on classification of soil using various algorithms available. Another important purpose is to predict untested attributes using regression technique, and implementation of automated soil sample classification.
Keywords: data mining, classification, regression, soil testing, agriculture
Download Full-Text
ABOUT THE AUTHORS
Jay Gholap
Final Year B.Tech(Computer Engg.) Pursuing
Anurag Ingole
Final Year B.Tech(Computer Engg.) Pursuing
Jayesh Gohil
Final Year B.Tech(Computer Engg.) Pursuing
Shailesh Gargade
Final Year B.Tech(Computer Engg.) Pursuing
Vahida Attar
Assistant Professor,Dept. of Computer Engineering and IT, College of Engineering,Pune, Maharashtra-411005, India
Jay Gholap
Final Year B.Tech(Computer Engg.) Pursuing
Anurag Ingole
Final Year B.Tech(Computer Engg.) Pursuing
Jayesh Gohil
Final Year B.Tech(Computer Engg.) Pursuing
Shailesh Gargade
Final Year B.Tech(Computer Engg.) Pursuing
Vahida Attar
Assistant Professor,Dept. of Computer Engineering and IT, College of Engineering,Pune, Maharashtra-411005, India