About this document
Principal Component Analysis in Rice Yield by Pallab Changkakoti is a document available to read on EtoBox.
This document summarizes a study that uses principal component regression (PCR) to analyze factors influencing rice yield in Manipur, India. The PCR model uses principal components extracted from variables like farmer age, education, family size, land area operated by tenants or owners, and double cropping area. The model fits the data well and explains 88.1% of the variation in yield. The study aims to identify important factors influencing rice production to help control them and increase future yields.
- Author
- Pallab Changkakoti
- Language
- EN