CropYield-prediction

Project Details: Predicting the crop production.(A college project)

Other Contributer: Disha Sinha

Dataset:

Dataset Exploration:

Existance of linearity is checked by data visualization and the correlation between dependent variable and independent vairables is shown.

Data Visualization:

Regression:

Simple Linear Regression:

Simple Linear Regression technique is used for the dependent variable 'Production' and independent variable 'Area'. We get the result as-

Production VS Area

Multivariate Linear Regression:

Multivariate Linear Regression technique is used for the dependent variable 'Production' and the independent variables 'Precipitation','Min_Temp','Cloude_Cover','Vapour_Pressure' and 'Area'. We get the result as-

For a single district over a time period of 10 years:

Again Multivariate Linear Regression technique is used for the dependent variable 'Production' and the independent variables 'Precipitation','Min_Temp','Cloude_Cover','Vapour_Pressure' and 'Area'. We get the result as-