This book highlights the estimation of crop yield in CentralGujarat especially with regard to
the development of Multiple RegressionModels and Principal Component Regression (PCR) models
using climatologicalparameters as independent variables and crop yield as a dependent variable.
Itsubsequently compares the multiple linear regression (MLR) and PCR results anddiscusses the
significance of PCR for crop yield estimation. In this context the book also covers Principal
Component Analysis (PCA) a statistical procedureused to reduce a number of correlated
variables into a smaller number ofuncorrelated variables called principal components (PC). This
book will behelpful to the students and researchers starting their works on climate
andagriculture mainly focussing on estimation models. The flow of chapters takesthe readers in
a smooth path in understanding climate and weather and impactof climate change and gradually
proceeds towards downscaling techniques andthen finally towards development of principal
component regression models andapplying the same for the crop yield estimation.
