1. IMPACT OF CLIMATE ON AGRICULTURAL PRODUCTION PRESENTED BY TEAM : CODE RAPPER ANURADHA RAJAKUMAR GENUS G. ANTONY

2. AGENDA HYPOTHESES ASSUMPTIONS TOOLS SELECTION FUTURE EXPERIMENTS

3. HYPOTHESES FROM THIS ANALYSIS WE ARE PLANNING TO PREDICT THOSE REGIONS WHOSE AGRICULTURAL PRODUCTION WILL BE MOST AFFECTED IN COMING YEARS BECAUSE OF CLIMATE CHANGE.

4. ASSUMPTIONS SIGNIFICANT CHANGES IN CLIMATE CAN AFFECT THE AGRICULTURE PRODUCTION MORE THE DEVIATION IN CLIMATE CONDITIONS, MORE THE IMPACT ON PRODUCTION WILL BE

5. DATA SET AVERAGE TEMPERATURE OVER YEARS GLOBAL AGRICULTURAL PRODUCTION DATA FOR VARIOUS CROPS

6. TOOLS SELECTION MONGODB ELASTIC SEARCH KIBANA (CURRENT DATA VISUALIZATION AND TRENDS) PYTHON MACHINE LEARNING ALGORITHM ( SVM )

7. PREDICTION

8. PANDAS LIB. TYPE – REGRESSION ALGORITHM - SVM

9. PREDICTION

10. FUTURE EXPERIMENTS CURRENT DATA IS AVAILABLE AT COUNTRY AND ALL YEAR ROUNDED TEMPERATURE IN FUTURE MORE DATA CAN BE COLLECTED FOR MORE GRANULARITY UP TO SPECIFIC REGION DATA FOR A CROP SEPARATE CLIMATE DATA FOR DIFFERENT SEASONS – RATHER THAN THE AVERAGE ALL YEAR OTHER CLIMATE DATA LIKE RAINFALL, WIND – RATHER THAT JUST TEMPERATURE

11. THANK YOU STOP CLIMATE CHANGE, BEFORE IT CHANGE U…. - CODE RAPPER!!!