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Principal Component Regression for Crop Yield Estimation

Part of the SpringerBriefs in Applied Sciences and Technology Book Series

DOI: 10.1007/978-981-10-0663-0

ISBN: 978-981-10-0662-3

Publisher: Springer Singapore - Springer Journals

Mar 22, 2016

LitStream

Chapter 1Introduction

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 1 –16

[This chapter starts from differentiating climate and weather and then climate change and its impact on global context and mainly on agriculture. The various climatological parameters affecting crop yield are then discussed. This is followed by the slight description of downscaling techniques and...
LitStream

Chapter 2Principal Component Analysis in Transfer Function

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 17 –25

[This chapter explores the transfer function in detail, with multiple linear regressions, and principal component analysis (PCA). Furthermore, it contains the slight description of various types of regression and emphasizes on the PCA and the calculations of principal components (PCs) in detail.]
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Chapter 3Review of Literature

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 27 –37

[This chapter covers the various research works carried out in the field of analyzing climatic variability induced due to climate change scenarios and its impact on agriculture. The review of works is classified into four domains, viz. climate change, downscaling techniques, multiple linear...
LitStream

Chapter 4Study Area and Data Collection

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 39 –44

[This chapter contains the brief overview of agroclimatic zones of India followed by the subagroclimatic zones of Gujarat. Thereafter, the slight description of the study area and the data required for the study are provided.]
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Chapter 5Methodology

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 45 –49

[This chapter gives the overview on the methodology to predict the yield of cotton using multiple linear regression and principal component regression, which is followed by models’ performance indices to estimate the best model. The climatological parameters considered to predict the yield of...
LitStream

Chapter 6Results and Analysis

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 51 –61

[This chapter illustrates the results and analysis of the study. The MLR models are developed and the results are given. The performance indices for the MLR model are analyzed. This is followed by the development of PCR model and the same are analyzed using the above said indices. The outcomes...
LitStream

Chapter 7Conclusions

Suryanarayana, T. M. V.; Mistry, P. B.

Pages: 63 –64

[This chapter summarizes the results obtained during the study, and the comparisons of the results by MLR and PCR are focused and the conclusions of the study are drawn out.]

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