The Paris Agreement of COP 21

The Paris Agreement of the COP21 has the following salient features:

1. Urging all parties to ratify and implement the Doha Amendment to the Kyoto Protocol.
Present ratification status of the Doha Amendment can be seen here: Link

The Doha Amendment to Kyoto Protocol: At a glance (This is roughly 20% emission reductions over the 1990 levels.)

2. Setup a fund by 2020 that provides 100 billion USD annually for mitigation and adoption.

3. Notes that 55 Gigatonnes of emissions reductions are necessary by 2030 to keep the temperature rise less than 2 degrees celsius in the worst case. The intended nationally determined contributions aggregated over all countries should fall in this range.

Link to the full document:

Link to the full document.

A Design Of A Data Warehouse And Use Of Data Mining Techniques For Analysis Of Risk Factors Affecting Agriculture In India

We published a paper titled "A Design Of A Data Warehouse And Use Of Data Mining Techniques For Analysis Of Risk Factors Affecting Agriculture In India" in the IOSR Journal of Agricultural and Veterinary Sciences.

Here is the link to the published paper: A Design Of A Data Warehouse And Use Of Data Mining Techniques For Analysis Of Risk Factors Affecting Agriculture In India

The Journal issue can be found here: IOSR Journal of Agricultural and Veterinary Sciences Volume 8 Issue 10

Abstract: In this paper, data made available in public domain by the Government of India, under the Open Government Data Initiative is analysed using data warehouse design and data analysis techniques. A data model is developed to analyse risks in agriculture. Regression analysis and K-Means Clustering are used as analysis techniques to derive insights from the available data and identify potential risk factors.

The datasets used in this paper can be accessed here:

SOURCE DATASETS DOWNLOADED FROM DATA.GOV.IN    DOI: 10.13140/RG.2.1.1557.2566

SCHEMA TABLE DATASETS GENERATED BY TRANSFORMING THE INPUT DATA:  DOI: 10.13140/RG.2.1.3654.4087

SELECTED PIVOT CHARTS USED FOR FINAL ANALYSIS: DOI: 10.13140/RG.2.1.4178.6966

Risk Analysis for different crops grown in India

Here an attempt is made to study correlations between yields of different crops in India with data collected over a period of 10 years up to 2004. A high variation in yield is taken as a high risk and consistent yield is taken as a low risk measure. There are strong correlations between the risk of growing wheat and rice. Wheat and sugar cane risks have very little correlation, indicating that sugar cane can be cultivated in most climates, even when wheat crop yields are not consistent. This makes sense because sugar cane is a hardy crop and grows in most weather conditions. An inverse correlation between the risks of wheat and mustard crops is seen but cannot be explained clearly. Going by the statistical nature of the analysis, it might be advisable to say that states having low risks on growing wheat should not try mustard and rape seed cultivation and vice versa.

Presentation has been prepared in SAP LUMIRA. Reference paper by: S.S. Raju and Ramesh Chand at National Center for Agricultural Economics and Policy Research titled "Agricultural Insurance in India: Problems and Prospects"

SAP LUMIRA TECHNIVERSITY 2014 DEMO JAM PREESNTATION: RISK ANALYSIS OF CROPS GROWN IN INDIA from Nirav Desai