Principal Component Regression for Crop Yield Estimation

1. Auflage 2016
ISBN: 978-981-10-0662-3
Verlag: Springer Nature Singapore

Buch, Englisch, 67 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1474 g

Reihe: SpringerBriefs in Applied Sciences and Technology

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 finallytowards development of principal component regression models and applying the same for the crop yield estimation.

Zielgruppe

Research

Autoren/Hrsg.

Mistry, P. B.

Suryanarayana, T.M.V.

Fachgebiete

• Geowissenschaften Umweltwissenschaften Klimawandel, Globale Erwärmung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Wasserwirtschaft
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Introduction.- Principal Component Analysis In Transfer Function.- Review  of Litrrature.- Study Area and Data Collection.- Methodology.- Conclusions.

Über Autor(innen)

Dr. T. M. V. Suryanarayana is serving as Associate Professor and recognized Ph.D. Guide in Water Resources Engineering and Management Institute, The M. S. University of Baroda. He is Executive Committee Member of Indian Water Resources Society, Secretary and Treasurer of Gujarat Chapter of Association of Hydrologists of India and Joint Secretary of Indian Society of Geomatics_Vadodara Chapter. He has 74 research papers published in various International/National Journals/ Seminars/ Conferences/ Symposiums.

Mr. P. B. Mistry has obtained B.E. (Civil-Irrigation Water Management) and M.E. (Civil) in Water Resources Engineering from The M.S. University of Baroda and is presently working as Assistant Professor in Parul University, Vadodara. He is a life member of Indian Society of Geomatics and Indian Society for Hydraulics.