Datamining-A Tool to Identify Crop Performance Traits for Rice Varieties of Warangal Region.

ABSTRACT

Crop related information is provided to the farmers by Government bodies and Private organisations.Farmers use this information to make farming profitable by selecting suitable varieties for that region.The information is not common to every farming station. Data mining techniques applied for provided crop research data customises it to each farming station. Present studies has been carried out on application of data mining in selection of suitable rice variety to Warangal region by obtaining the data of 20 years. Theeight rice varieties recommended by rice research station, focussing on six traits were considered for the present study. Results show that Ramappa, JGL 384, Swarna, Samba masuri are high yielding varieties in Warangal region. Kavya, MTU 1010 andWGL14 have high harvested grain weight whereas Sureka, Samba Masuri and Ramappa have least. Kavya and WGL14 showed high straw strength, panicle length and carbohydrate content. This analysis helps the farmer to select particular combination of traits to identify high performing varieties for specific location.