Principal Component Regression for Crop Yield Estimation (Paperback, 1st ed. 2016)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	March 2016
First published:	2016
Authors:	T.M.V. Suryanarayana • P. B Mistry
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	67
Edition:	1st ed. 2016
ISBN-13:	978-981-10-0662-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming Books > Professional & Technical > Agriculture & farming > Crop husbandry > General Promotions
LSN:	981-10-0662-8
Barcode:	9789811006623

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!