Abstract

Use of data mining has been increased in agriculture field due to enhancement in the technology. Agriculture yield\nanalysis is a very complex and vast research area as it deals with large data sets including different factors viz. yields of\nvarious crops, meteorological parameters affecting crop yields, diseases, pests etc. Data mining methods extract meaningful\npatterns from those large data sets. This paper presents a review on how different data mining techniques are helpful to study\nthe impact of different meteorological parameters on various crop yields.