Multivariate statistical techniques in agriculture sciences: A review
Alisha Mittal and Manoj Kumar
Multivariate analysis (MVA) comprises of observation and analysis of more than one variable at a time. MVA has a great application in field of agriculture like selection of appropriate variety to grow, quantity of fertilizers, pesticides and insecticides and to assess soil fertility. In the present review we had tried to explain the use of multivariate statistical methods such as principal component analysis (PCA), factor analysis (FA) and canonical correlation analysis (CCA) to explain relationships among different variables and making decisions for future works relating to the agriculture and livestock sciences.
How to cite this article:
Alisha Mittal and Manoj Kumar. Multivariate statistical techniques in agriculture sciences: A review. The Pharma Innovation Journal. 2022; 11(8S): 07-10.