Study of the Effects of Climate Change on Crop Yields

Prediction of crop yields based on climate variables using machine learning algorithms

dataset-cover

Data

The data contains 28242 rows and 7 columns

the columns are :

1- Area

2- Crop

3- Year

4- Average rain fall mm per year

5- Pesticides tonnes

6- Average temperature

7- hg/ha_yield (Output)

Preprocessing

1- Dropped the "Year" column because it has no relevance

2- Hot encoded categorical data using pandas get dummis

3- Split the data into X (features) and Y (output)

4- Normalized the feature columns to be between 0 and 1

5- Split the data into 80% for training and 20% for testing

Prediction

1- Used LazyPredict library to compare the results of multiple regression algorithms

2- Use Random Forest Regressor for regression as it has the best accuracy