Principal Component Regression for Crop Yield Estimation

  • T.M.V Suryanarayana
  • P. B Mistry

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. T. M. V. Suryanarayana, P. B. Mistry
    Pages 1-16
  3. T. M. V. Suryanarayana, P. B. Mistry
    Pages 17-25
  4. T. M. V. Suryanarayana, P. B. Mistry
    Pages 27-37
  5. T. M. V. Suryanarayana, P. B. Mistry
    Pages 39-44
  6. T. M. V. Suryanarayana, P. B. Mistry
    Pages 45-49
  7. T. M. V. Suryanarayana, P. B. Mistry
    Pages 51-61
  8. T. M. V. Suryanarayana, P. B. Mistry
    Pages 63-64
  9. Back Matter
    Pages 65-67

About this book


This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of principal component regression models and applying the same for the crop yield estimation.


Principal Component Regression (PCR) Multiple Linear Regression Models (MLR) Principal Component Analysis (PCA) Climate change for crops Statistical downscaling methods Multi-co-linearity problem Climatological parameters Crop yield Estimation Models Performance Indices Water resource management

Authors and affiliations

  • T.M.V Suryanarayana
    • 1
  • P. B Mistry
    • 2
  1. 1.The Maharaja Sayajirao Univ. of BarodaWater Resources Eng. & Managmt. Inst.VadodaraIndia
  2. 2.FreelancerVadodaraIndia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-0662-3
  • Online ISBN 978-981-10-0663-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Oil, Gas & Geosciences